From 5abe5b161847d81bd6b897bf7f2ece0ba191cef9 Mon Sep 17 00:00:00 2001
From: tccontre <tccontre18@gmail.com>
Date: Thu, 13 Apr 2023 16:45:28 +0200
Subject: [PATCH 1/3] splunk_attack_analyzer_playbook

---
 playbooks/SAA_Dynamic_Analysis.png            | Bin 79000 -> 0 bytes
 ...unk_Attack_Analyzer_Dynamic_Analysis.json} | 293 +++++------
 ...plunk_Attack_Analyzer_Dynamic_Analysis.png | Bin 0 -> 69469 bytes
 ...plunk_Attack_Analyzer_Dynamic_Analysis.py} | 469 ++++++++----------
 ...lunk_Attack_Analyzer_Dynamic_Analysis.yml} |   6 +-
 5 files changed, 338 insertions(+), 430 deletions(-)
 delete mode 100644 playbooks/SAA_Dynamic_Analysis.png
 rename playbooks/{SAA_Dynamic_Analysis.json => Splunk_Attack_Analyzer_Dynamic_Analysis.json} (58%)
 create mode 100644 playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.png
 rename playbooks/{SAA_Dynamic_Analysis.py => Splunk_Attack_Analyzer_Dynamic_Analysis.py} (57%)
 rename playbooks/{SAA_Dynamic_Analysis.yml => Splunk_Attack_Analyzer_Dynamic_Analysis.yml} (83%)

diff --git a/playbooks/SAA_Dynamic_Analysis.png b/playbooks/SAA_Dynamic_Analysis.png
deleted file mode 100644
index 94f07cf5207f77c8c6994428eb50fd04ebbbc6cf..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/playbooks/SAA_Dynamic_Analysis.json b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
similarity index 58%
rename from playbooks/SAA_Dynamic_Analysis.json
rename to playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
index d6237e0ffd..a3e71d5a4b 100644
--- a/playbooks/SAA_Dynamic_Analysis.json
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
@@ -25,13 +25,6 @@
                     "targetNode": "3",
                     "targetPort": "3_in"
                 },
-                {
-                    "id": "port_5_to_port_6",
-                    "sourceNode": "5",
-                    "sourcePort": "5_out",
-                    "targetNode": "6",
-                    "targetPort": "6_in"
-                },
                 {
                     "id": "port_8_to_port_10",
                     "sourceNode": "8",
@@ -65,13 +58,6 @@
                     "targetNode": "12",
                     "targetPort": "12_in"
                 },
-                {
-                    "id": "port_14_to_port_15",
-                    "sourceNode": "14",
-                    "sourcePort": "14_out",
-                    "targetNode": "15",
-                    "targetPort": "15_in"
-                },
                 {
                     "id": "port_17_to_port_18",
                     "sourceNode": "17",
@@ -100,18 +86,6 @@
                     "targetNode": "4",
                     "targetPort": "4_in"
                 },
-                {
-                    "conditions": [
-                        {
-                            "index": 0
-                        }
-                    ],
-                    "id": "port_4_to_port_14",
-                    "sourceNode": "4",
-                    "sourcePort": "4_out",
-                    "targetNode": "14",
-                    "targetPort": "14_in"
-                },
                 {
                     "id": "port_6_to_port_7",
                     "sourceNode": "6",
@@ -138,18 +112,6 @@
                     "targetNode": "22",
                     "targetPort": "22_in"
                 },
-                {
-                    "conditions": [
-                        {
-                            "index": 0
-                        }
-                    ],
-                    "id": "port_22_to_port_5",
-                    "sourceNode": "22",
-                    "sourcePort": "22_out",
-                    "targetNode": "5",
-                    "targetPort": "5_in"
-                },
                 {
                     "id": "port_15_to_port_23",
                     "sourceNode": "15",
@@ -168,6 +130,30 @@
                     "sourcePort": "23_out",
                     "targetNode": "17",
                     "targetPort": "17_in"
+                },
+                {
+                    "conditions": [
+                        {
+                            "index": 0
+                        }
+                    ],
+                    "id": "port_22_to_port_6",
+                    "sourceNode": "22",
+                    "sourcePort": "22_out",
+                    "targetNode": "6",
+                    "targetPort": "6_in"
+                },
+                {
+                    "conditions": [
+                        {
+                            "index": 0
+                        }
+                    ],
+                    "id": "port_4_to_port_15",
+                    "sourceNode": "4",
+                    "sourcePort": "4_out",
+                    "targetNode": "15",
+                    "targetPort": "15_in"
                 }
             ],
             "hash": "e8e4290e9196ed3b9dc21a9395efea9b415a12af",
@@ -186,7 +172,7 @@
                     "type": "start",
                     "warnings": {},
                     "x": 190,
-                    "y": -3.836930773104541e-13
+                    "y": -5.755396159656812e-13
                 },
                 "1": {
                     "data": {
@@ -219,19 +205,23 @@
                         "id": "10",
                         "parameters": [
                             "playbook_input:url",
-                            "normalized_job_forensic_report_output:custom_function:scores",
-                            "normalized_job_forensic_report_output:custom_function:confidence",
-                            "normalized_job_forensic_report_output:custom_function:categories",
-                            "get_jobid_of_url_detonation_output:custom_function:jobid"
+                            "normalized_url_forensic_output:custom_function:scores",
+                            "normalized_url_forensic_output:custom_function:score_id",
+                            "normalized_url_forensic_output:custom_function:categories",
+                            "url_detonation:action_result.data.*.JobID"
                         ],
-                        "template": "SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Score | Confidence |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
+                        "template": "SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
                         "type": "format"
                     },
                     "errors": {},
                     "id": "10",
                     "type": "format",
                     "userCode": "\n    # Write your custom code here...\n    #phantom.debug(phantom.format(container=container, template=template, parameters=parameters, name=\"format_report_url\"))\n",
-                    "warnings": {},
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 0,
                     "y": 1440
                 },
@@ -249,8 +239,8 @@
                         "id": "11",
                         "inputParameters": [
                             "playbook_input:url",
-                            "get_jobid_of_url_detonation_output:custom_function:jobid",
-                            "normalized_job_forensic_report_output:custom_function:url_score_object"
+                            "url_detonation:action_result.data.*.JobID",
+                            "normalized_url_forensic_output:custom_function:url_score_object"
                         ],
                         "outputVariables": [
                             "observable_array"
@@ -260,30 +250,35 @@
                     "errors": {},
                     "id": "11",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n    for jobs_id in get_jobid_of_url_detonation_output__jobid:\n        \n        for url, external_id, url_object in zip(playbook_input_url_values, jobs_id, normalized_job_forensic_report_output__url_score_object):\n            parsed_url = urlparse(url)\n            #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n            #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n            observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"score\": url_object['score'],\n                    \"confidence\": url_object['confidence']\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"categories\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n            if parsed_url.path:\n                observable_object['attributes']['path'] = parsed_url.path\n            if parsed_url.query:\n                observable_object['attributes']['query'] = parsed_url.query\n            if parsed_url.port:\n                observable_object['attributes']['port'] = parsed_url.port\n\n            build_url_output__observable_array.append(observable_object)\n            #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
-                    "warnings": {},
+                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n\n        \n    for url, external_id, url_object in zip(playbook_input_url_values, url_detonation_result_item_0, normalized_url_forensic_output__url_score_object):\n        parsed_url = urlparse(url)\n        #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n        #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n        observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"score\": url_object['score'],\n                    \"score_id\": url_object['score_id'],\n                    \"confidence\": url_object['confidence']\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"categories\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n        if parsed_url.path:\n            observable_object['attributes']['path'] = parsed_url.path\n        if parsed_url.query:\n            observable_object['attributes']['query'] = parsed_url.query\n        if parsed_url.port:\n            observable_object['attributes']['port'] = parsed_url.port\n\n        build_url_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 0,
-                    "y": 1626
+                    "y": 1620
                 },
                 "12": {
                     "data": {
                         "action": "detonate file",
                         "actionType": "generic",
                         "advanced": {
-                            "customName": "saa file detonation",
+                            "customName": "file detonation",
                             "customNameId": 0,
+                            "delayTime": 2,
                             "description": "Queries SAA for information about the provided vault_id(s)",
                             "join": [],
                             "note": "Queries SAA for information about the provided vault_id(s)"
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "splunk attack analyzer"
+                            "saa"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
                         "functionId": 1,
-                        "functionName": "saa_file_detonation",
+                        "functionName": "file_detonation",
                         "id": "12",
                         "parameters": {
                             "file": "playbook_input:vault_id"
@@ -299,61 +294,37 @@
                     "errors": {},
                     "id": "12",
                     "type": "action",
-                    "warnings": {},
-                    "x": 340,
-                    "y": 328
-                },
-                "14": {
-                    "data": {
-                        "advanced": {
-                            "customName": "get jobid of file detonation output",
-                            "customNameId": 0,
-                            "description": "This block uses custom code for fetching JobID for URL(s) or file(s) detonation.",
-                            "join": [],
-                            "note": "This block uses custom code for fetching JobID for URL(s) or file(s) detonation."
-                        },
-                        "functionId": 4,
-                        "functionName": "get_jobid_of_file_detonation_output",
-                        "id": "14",
-                        "inputParameters": [
-                            "saa_file_detonation:action_result.data.*.JobID"
-                        ],
-                        "outputVariables": [
-                            "jobid"
-                        ],
-                        "type": "code"
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
                     },
-                    "errors": {},
-                    "id": "14",
-                    "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    get_jobid_of_file_detonation_output__jobid = []\n\n    get_jobid_of_file_detonation_output__jobid.append(saa_file_detonation_result_item_0)\n    #phantom.debug(\"get_jobid_of_file_detonation_output__jobid: {}\".format(get_jobid_of_file_detonation_output__jobid))\n",
-                    "warnings": {},
                     "x": 340,
-                    "y": 686
+                    "y": 320
                 },
                 "15": {
                     "data": {
                         "action": "get job forensics",
                         "actionType": "investigate",
                         "advanced": {
-                            "customName": "saa get file job forensics output",
+                            "customName": "get file forensics output",
                             "customNameId": 0,
+                            "delayTime": 2,
                             "description": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated.",
                             "join": [],
                             "note": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated."
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "splunk attack analyzer"
+                            "saa"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
                         "functionId": 2,
-                        "functionName": "saa_get_file_job_forensics_output",
+                        "functionName": "get_file_forensics_output",
                         "id": "15",
                         "parameters": {
-                            "job_id": "get_jobid_of_file_detonation_output:custom_function:jobid",
-                            "timeout": "5"
+                            "job_id": "file_detonation:action_result.data.*.JobID"
                         },
                         "requiredParameters": [
                             {
@@ -366,7 +337,7 @@
                     "errors": {},
                     "id": "15",
                     "type": "action",
-                    "userCode": "\n    # Write your custom code here...\n    parameters = []\n    for job_ids in get_jobid_of_file_detonation_output__jobid:\n        for job in job_ids:\n            if job is not None:\n                parameters.append({\n                    \"job_id\": job,\n                    \"timeout\": 5,\n                })\n    #phantom.debug(parameters)\n",
+                    "userCode": "\n    # Write your custom code here...\n    #parameters = []\n    #for job_ids in file_jobid_detonation_output__jobid:\n    #    for job in job_ids:\n    #        if job is not None:\n    #            parameters.append({\n    #                \"job_id\": job,\n    #                \"timeout\": 5,\n    #            })\n    #phantom.debug(parameters)\n",
                     "warnings": {},
                     "x": 340,
                     "y": 880
@@ -374,35 +345,38 @@
                 "17": {
                     "data": {
                         "advanced": {
-                            "customName": "normalized job forensic report output",
-                            "customNameId": 1,
+                            "customName": "normalized file forensic output",
+                            "customNameId": 0,
                             "description": "This block uses custom code for normalizing score. Adjust the logic as desired in the documented sections.",
                             "join": [],
                             "note": "This block uses custom code for normalizing score. Adjust the logic as desired in the documented sections."
                         },
                         "functionId": 5,
-                        "functionName": "normalized_job_forensic_report_output_1",
+                        "functionName": "normalized_file_forensic_output",
                         "id": "17",
                         "inputParameters": [
                             "playbook_input:vault_id",
-                            "saa_get_file_job_forensics_output:action_result.data.*.DisplayScore",
-                            "saa_get_file_job_forensics_output:action_result.data.*.Detections.*.Description",
-                            "saa_get_file_job_forensics_output:action_result.data.*.Verdict",
-                            "saa_get_file_job_forensics_output:action_result.data"
+                            "get_file_forensics_output:action_result.data.*.DisplayScore",
+                            "get_file_forensics_output:action_result.data.*.Detections.*.Description",
+                            "get_file_forensics_output:action_result.data.*.Verdict"
                         ],
                         "outputVariables": [
                             "file_score_object",
                             "scores",
                             "categories",
-                            "confidence"
+                            "score_id"
                         ],
                         "type": "code"
                     },
                     "errors": {},
                     "id": "17",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"10\":\"Very_Safe\",\n        \"20\":\"Safe\",\n        \"30\":\"Probably_Safe\",\n        \"40\":\"Leans_Safe\",\n        \"50\":\"May_not_be_Safe\",\n        \"60\":\"Exercise_Caution\",\n        \"70\":\"Suspicious_or_Risky\",\n        \"80\":\"Possibly_Malicious\",\n        \"90\":\"Probably_Malicious\",\n        \"100\":\"Malicious\"\n    }\n    #phantom.debug(\"vault_id: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n\n    \n    normalized_job_forensic_report_output_1__file_score_object = []\n    normalized_job_forensic_report_output_1__scores = []\n    normalized_job_forensic_report_output_1__categories = []\n    normalized_job_forensic_report_output_1__confidence = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    file_detonation_param_list =  [(i or \"\") for i in playbook_input_vault_id_values] \n    file_detonation_threat_score_list = [(i or 0) for i in saa_get_file_job_forensics_output_result_item_0] \n    file_detonation_category_list = [(i or \"\") for i in saa_get_file_job_forensics_output_result_item_1] \n    file_detonation_verdict_list = [(i or \"\") for i in saa_get_file_job_forensics_output_result_item_2] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_file_dict = {}\n    set_file_inputs = set(file_detonation_param_list)\n    \n    for file_input in set_file_inputs:\n        vaultid_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        file_input_index = [indx for indx, vaultid_val in enumerate(file_detonation_param_list) if vaultid_val == file_input]\n        index_file_dict[file_input] = file_input_index\n        \n        for idx,(_vaultid, _score, _display_score, _category) in enumerate(zip(file_detonation_param_list, file_detonation_verdict_list, file_detonation_threat_score_list, file_detonation_category_list)):\n            if _vaultid == file_input and idx in index_file_dict[file_input]:\n                vaultid_list.append(_vaultid)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n        \n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 10\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 20\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 30\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 40\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 50\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 60\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 70\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 80\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 90\n            elif confidence_ >= 100:\n                          score_id = 100\n            \n            score = score_table[str(score_id)]\n            \n        else:\n            score = list(set(score_list))[0]\n                      \n        # Attach final object\n        normalized_job_forensic_report_output_1__file_score_object.append({'score': score, 'confidence': confidence_, 'categories': categories})\n        normalized_job_forensic_report_output_1__scores.append(score)\n        normalized_job_forensic_report_output_1__categories.append(categories)\n        normalized_job_forensic_report_output_1__confidence.append(confidence_)\n        #phantom.debug(\"normalized_job_forensic_report_output_1__file_score_object: {}\".format(normalized_job_forensic_report_output_1__file_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__scores: {}\".format(normalized_job_forensic_report_output_1__scores))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__categories: {}\".format(normalized_job_forensic_report_output_1__categories))\n",
-                    "warnings": {},
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    #phantom.debug(\"vault_id: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n    #phantom.debug(get_file_forensics_output_result_item_3)\n    \n    normalized_file_forensic_output__file_score_object = []\n    normalized_file_forensic_output__scores = []\n    normalized_file_forensic_output__categories = []\n    normalized_file_forensic_output__score_id = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    file_detonation_param_list =  [(i or \"\") for i in playbook_input_vault_id_values] \n    file_detonation_threat_score_list = [(i or 0) for i in get_file_forensics_output_result_item_0] \n    file_detonation_category_list = [(i or \"\") for i in get_file_forensics_output_result_item_1] \n    file_detonation_verdict_list = [(i or \"\") for i in get_file_forensics_output_result_item_2] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_file_dict = {}\n    set_file_inputs = set(file_detonation_param_list)\n    \n    for file_input in set_file_inputs:\n        vaultid_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        file_input_index = [indx for indx, vaultid_val in enumerate(file_detonation_param_list) if vaultid_val == file_input]\n        index_file_dict[file_input] = file_input_index\n        \n        for idx,(_vaultid, _score, _display_score, _category) in enumerate(zip(file_detonation_param_list, file_detonation_verdict_list, file_detonation_threat_score_list, file_detonation_category_list)):\n            if _vaultid == file_input and idx in index_file_dict[file_input]:\n                vaultid_list.append(_vaultid)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n        #score_ = list(set(score_list))[0]\n        \n        score = \"\"\n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 1\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 2\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 3\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 4\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 5\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 6\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 7\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 8\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 9\n            elif confidence_ >= 100:\n                          score_id = 10\n            \n        else:\n            score_id = round(confidence_/ 10)\n        \n        score = score_table[str(score_id)]\n        #phantom.debug(\"score: {} score_id {}\".format(score, score_id))\n        # Attach final object\n        normalized_file_forensic_output__file_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})\n        normalized_file_forensic_output__scores.append(score)\n        normalized_file_forensic_output__categories.append(\", \".join(categories))\n        normalized_file_forensic_output__score_id.append(score_id)\n        #phantom.debug(\"normalized_job_forensic_report_output_1__file_score_object: {}\".format(normalized_job_forensic_report_output_1__file_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__scores: {}\".format(normalized_job_forensic_report_output_1__scores))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__categories: {}\".format(normalized_job_forensic_report_output_1__categories))\n",
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 340,
                     "y": 1260
                 },
@@ -420,19 +394,23 @@
                         "id": "18",
                         "parameters": [
                             "playbook_input:vault_id",
-                            "normalized_job_forensic_report_output_1:custom_function:scores",
-                            "normalized_job_forensic_report_output_1:custom_function:confidence",
-                            "normalized_job_forensic_report_output_1:custom_function:categories",
-                            "get_jobid_of_file_detonation_output:custom_function:jobid"
+                            "normalized_file_forensic_output:custom_function:scores",
+                            "normalized_file_forensic_output:custom_function:score_id",
+                            "normalized_file_forensic_output:custom_function:categories",
+                            "file_detonation:action_result.data.*.JobID"
                         ],
-                        "template": "SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| File hash | Score | Confidence |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
+                        "template": "SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| vault_id | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
                         "type": "format"
                     },
                     "errors": {},
                     "id": "18",
                     "type": "format",
                     "userCode": "\n    # Write your custom code here...\n    #phantom.debug(phantom.format(container=container, template=template, parameters=parameters, name=\"format_report_file\"))\n",
-                    "warnings": {},
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 340,
                     "y": 1440
                 },
@@ -450,8 +428,8 @@
                         "id": "19",
                         "inputParameters": [
                             "playbook_input:vault_id",
-                            "get_jobid_of_file_detonation_output:custom_function:jobid",
-                            "normalized_job_forensic_report_output_1:custom_function:file_score_object"
+                            "file_detonation:action_result.data.*.JobID",
+                            "normalized_file_forensic_output:custom_function:file_score_object"
                         ],
                         "outputVariables": [
                             "observable_array"
@@ -461,8 +439,12 @@
                     "errors": {},
                     "id": "19",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n    for jobs_id in get_jobid_of_file_detonation_output__jobid:\n        for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, jobs_id, normalized_job_forensic_report_output_1__file_score_object):\n            #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n            observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"score\": file_object['score'],\n                    \"confidence\": file_object['confidence'],\n\n                },\n                \"enrichment\": {\n                    \"provider\": \"Splunk Attack Analyzer\",\n                    \"type\": \"file\",\n\n                },\n                \"categories\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n            build_file_output__observable_array.append(observable_object)\n            #phantom.debug(\"build_file_output__observable_array: {}\".format(build_file_output__observable_array))\n",
-                    "warnings": {},
+                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n\n    for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, file_detonation_result_item_0, normalized_file_forensic_output__file_score_object):\n        #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n        observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"score\": file_object['score'],\n                    \"score_id\": file_object['score_id'],\n                    \"confidence\": file_object['confidence'],\n\n                },\n                \"enrichment\": {\n                    \"provider\": \"Splunk Attack Analyzer\",\n                    \"type\": \"file\",\n\n                },\n                \"categories\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n        build_file_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_file_output__observable_array: {}\".format(build_file_output__observable_array))\n",
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 340,
                     "y": 1620
                 },
@@ -511,7 +493,11 @@
                     "errors": {},
                     "id": "2",
                     "type": "filter",
-                    "warnings": {},
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 230,
                     "y": 148
                 },
@@ -530,7 +516,7 @@
                                     {
                                         "conditionIndex": 0,
                                         "op": "==",
-                                        "param": "saa_url_detonation:action_result.status",
+                                        "param": "url_detonation:action_result.status",
                                         "value": "success"
                                     }
                                 ],
@@ -562,7 +548,7 @@
                                     {
                                         "conditionIndex": 0,
                                         "op": "==",
-                                        "param": "saa_get_file_job_forensics_output:action_result.status",
+                                        "param": "get_file_forensics_output:action_result.status",
                                         "value": "success"
                                     }
                                 ],
@@ -588,20 +574,21 @@
                         "action": "detonate url",
                         "actionType": "generic",
                         "advanced": {
-                            "customName": "saa url detonation",
+                            "customName": "url detonation",
                             "customNameId": 0,
+                            "delayTime": 0,
                             "description": "Queries SAA for information about the provided URL(s)",
                             "join": [],
                             "note": "Queries SAA for information about the provided URL(s)"
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "splunk attack analyzer"
+                            "saa"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
                         "functionId": 1,
-                        "functionName": "saa_url_detonation",
+                        "functionName": "url_detonation",
                         "id": "3",
                         "parameters": {
                             "url": "playbook_input:url"
@@ -618,9 +605,13 @@
                     "id": "3",
                     "type": "action",
                     "userCode": "\n    # Write your custom code here...\n\n",
-                    "warnings": {},
+                    "warnings": {
+                        "config": [
+                            "Reconfigure invalid datapath."
+                        ]
+                    },
                     "x": 0,
-                    "y": 328
+                    "y": 320
                 },
                 "4": {
                     "data": {
@@ -637,7 +628,7 @@
                                     {
                                         "conditionIndex": 1,
                                         "op": "==",
-                                        "param": "saa_file_detonation:action_result.status",
+                                        "param": "file_detonation:action_result.status",
                                         "value": "success"
                                     }
                                 ],
@@ -658,58 +649,29 @@
                     "x": 400,
                     "y": 500
                 },
-                "5": {
-                    "data": {
-                        "advanced": {
-                            "customName": "get jobid of url detonation output",
-                            "customNameId": 0,
-                            "description": "This block uses custom code for fetching JobID for URL(s) or file(s) detonation.",
-                            "join": [],
-                            "note": "This block uses custom code for fetching JobID for URL(s) or file(s) detonation.",
-                            "scope": "default"
-                        },
-                        "functionId": 1,
-                        "functionName": "get_jobid_of_url_detonation_output",
-                        "id": "5",
-                        "inputParameters": [
-                            "saa_url_detonation:action_result.data.*.JobID"
-                        ],
-                        "outputVariables": [
-                            "jobid"
-                        ],
-                        "type": "code"
-                    },
-                    "errors": {},
-                    "id": "5",
-                    "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    get_jobid_of_url_detonation_output__jobid = []\n\n    get_jobid_of_url_detonation_output__jobid.append(saa_url_detonation_result_item_0)\n    #phantom.debug(\"get_jobid_of_url_detonation_output__jobid: {}\".format(get_jobid_of_url_detonation_output__jobid))\n",
-                    "warnings": {},
-                    "x": 0,
-                    "y": 686
-                },
                 "6": {
                     "data": {
                         "action": "get job forensics",
                         "actionType": "investigate",
                         "advanced": {
-                            "customName": "ssa get job forensics output",
+                            "customName": "get url forensics output",
                             "customNameId": 0,
+                            "delayTime": 2,
                             "description": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated.",
                             "join": [],
                             "note": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated."
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "splunk attack analyzer"
+                            "saa"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
                         "functionId": 1,
-                        "functionName": "ssa_get_job_forensics_output",
+                        "functionName": "get_url_forensics_output",
                         "id": "6",
                         "parameters": {
-                            "job_id": "get_jobid_of_url_detonation_output:custom_function:jobid",
-                            "timeout": "5"
+                            "job_id": "url_detonation:action_result.data.*.JobID"
                         },
                         "requiredParameters": [
                             {
@@ -722,7 +684,7 @@
                     "errors": {},
                     "id": "6",
                     "type": "action",
-                    "userCode": "\n    # Write your custom code here...\n    parameters = []\n    for job_ids in get_jobid_of_url_detonation_output__jobid:\n        for job in job_ids:\n            if job is not None:\n                parameters.append({\n                    \"job_id\": job,\n                    \"timeout\": 5,\n                })\n    #phantom.debug(parameters)\n",
+                    "userCode": "\n    # Write your custom code here...\n    #parameters = []\n    #for job_ids in url_jobid_detonation_output__jobid:\n    #    for job in job_ids:\n    #        if job is not None:\n    #            parameters.append({\n    #                \"job_id\": job,\n    #                \"timeout\": 5,\n    #            })\n    #phantom.debug(parameters)\n",
                     "warnings": {},
                     "x": 0,
                     "y": 880
@@ -742,7 +704,7 @@
                                     {
                                         "conditionIndex": 0,
                                         "op": "==",
-                                        "param": "ssa_get_job_forensics_output:action_result.status",
+                                        "param": "get_url_forensics_output:action_result.status",
                                         "value": "success"
                                     }
                                 ],
@@ -766,37 +728,36 @@
                 "8": {
                     "data": {
                         "advanced": {
-                            "customName": "normalized job forensic report output",
+                            "customName": "normalized url forensic output",
                             "customNameId": 0,
                             "description": "This block uses custom code for normalizing score. Adjust the logic as desired in the documented sections.",
                             "join": [],
                             "note": "This block uses custom code for normalizing score. Adjust the logic as desired in the documented sections."
                         },
                         "functionId": 2,
-                        "functionName": "normalized_job_forensic_report_output",
+                        "functionName": "normalized_url_forensic_output",
                         "id": "8",
                         "inputParameters": [
-                            "ssa_get_job_forensics_output:action_result.data.*.URLs.*.URL",
-                            "ssa_get_job_forensics_output:action_result.data.*.DisplayScore",
-                            "ssa_get_job_forensics_output:action_result.data.*.Detections.*.Description",
-                            "ssa_get_job_forensics_output:action_result.data.*.Verdict",
-                            "ssa_get_job_forensics_output:action_result.data"
+                            "get_url_forensics_output:action_result.data.*.URLs.*.URL",
+                            "get_url_forensics_output:action_result.data.*.DisplayScore",
+                            "get_url_forensics_output:action_result.data.*.Detections.*.Description",
+                            "get_url_forensics_output:action_result.data.*.Verdict"
                         ],
                         "outputVariables": [
                             "url_score_object",
                             "scores",
                             "categories",
-                            "confidence"
+                            "score_id"
                         ],
                         "type": "code"
                     },
                     "errors": {},
                     "id": "8",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"10\":\"Very_Safe\",\n        \"20\":\"Safe\",\n        \"30\":\"Probably_Safe\",\n        \"40\":\"Leans_Safe\",\n        \"50\":\"May_not_be_Safe\",\n        \"60\":\"Exercise_Caution\",\n        \"70\":\"Suspicious_or_Risky\",\n        \"80\":\"Possibly_Malicious\",\n        \"90\":\"Probably_Malicious\",\n        \"100\":\"Malicious\"\n    }\n    #phantom.debug(\"url: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n\n    \n    normalized_job_forensic_report_output__url_score_object = []\n    normalized_job_forensic_report_output__scores = []\n    normalized_job_forensic_report_output__categories = []\n    normalized_job_forensic_report_output__confidence = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    url_detonation_param_list =  [(i or \"\") for i in ssa_get_job_forensics_output_result_item_0] \n    url_detonation_threat_score_list = [(i or 0) for i in ssa_get_job_forensics_output_result_item_1] \n    url_detonation_category_list = [(i or \"\") for i in ssa_get_job_forensics_output_result_item_2] \n    url_detonation_verdict_list = [(i or \"\") for i in ssa_get_job_forensics_output_result_item_3] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_url_dict = {}\n    set_url_inputs = set(url_detonation_param_list)\n    \n    for url_input in set_url_inputs:\n        url_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        url_input_index = [indx for indx, url_val in enumerate(url_detonation_param_list) if url_val == url_input]\n        index_url_dict[url_input] = url_input_index\n\n        for idx,(_url, _score, _display_score, _category) in enumerate(zip(url_detonation_param_list, url_detonation_verdict_list, url_detonation_threat_score_list, url_detonation_category_list)):\n            if _url == url_input and idx in index_url_dict[url_input]:\n                url_list.append(_url)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n\n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 10\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 20\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 30\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 40\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 50\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 60\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 70\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 80\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 90\n            elif confidence_ >= 100:\n                          score_id = 100\n            \n            score = score_table[str(score_id)]\n            \n        else:\n            score = list(set(score_list))[0]\n                      \n        # Attach final object\n        normalized_job_forensic_report_output__url_score_object.append({'score': score, 'confidence': confidence_, 'categories': categories})\n        normalized_job_forensic_report_output__scores.append(score)\n        normalized_job_forensic_report_output__categories.append(categories)\n        normalized_job_forensic_report_output__confidence.append(confidence_)\n        #phantom.debug(\"normalized_job_forensic_report_output__url_score_object: {}\".format(normalized_job_forensic_report_output__url_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output__categories: {}\".format(normalized_job_forensic_report_output__categories))\n        #phantom.debug(\"normalized_job_forensic_report_output__confidence: {}\".format(normalized_job_forensic_report_output__confidence))\n\n",
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    #phantom.debug(\"url: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n    #phantom.debug(get_url_forensics_output_result_item_4)\n    \n    normalized_url_forensic_output__url_score_object = []\n    normalized_url_forensic_output__scores = []\n    normalized_url_forensic_output__categories = []\n    normalized_url_forensic_output__score_id = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    url_detonation_param_list =  [(i or \"\") for i in get_url_forensics_output_result_item_0] \n    url_detonation_threat_score_list = [(i or 0) for i in get_url_forensics_output_result_item_1] \n    url_detonation_category_list = [(i or \"\") for i in get_url_forensics_output_result_item_2] \n    url_detonation_verdict_list = [(i or \"\") for i in get_url_forensics_output_result_item_3] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_url_dict = {}\n    set_url_inputs = set(url_detonation_param_list)\n    \n    for url_input in set_url_inputs:\n        url_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        url_input_index = [indx for indx, url_val in enumerate(url_detonation_param_list) if url_val == url_input]\n        index_url_dict[url_input] = url_input_index\n\n        for idx,(_url, _score, _display_score, _category) in enumerate(zip(url_detonation_param_list, url_detonation_verdict_list, url_detonation_threat_score_list, url_detonation_category_list)):\n            if _url == url_input and idx in index_url_dict[url_input]:\n                url_list.append(_url)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n        \n        score = \"\"\n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 1\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 2\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 3\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 4\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 5\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 6\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 7\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 8\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 9\n            elif confidence_ >= 100:\n                          score_id = 10\n            #score = score_table[str(score_id)]\n        else:\n            score_id = round(confidence_/ 10)\n        \n        score = score_table[str(score_id)]\n        \n        # Attach final object\n        normalized_url_forensic_output__url_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})\n        normalized_url_forensic_output__scores.append(score)\n        normalized_url_forensic_output__categories.append(\", \".join(categories))\n        normalized_url_forensic_output__score_id.append(score_id)\n        #phantom.debug(\"normalized_job_forensic_report_output__url_score_object: {}\".format(normalized_url_forensic_output__url_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output__categories: {}\".format(normalized_job_forensic_report_output__categories))\n        #phantom.debug(\"normalized_job_forensic_report_output__confidence: {}\".format(normalized_job_forensic_report_output__confidence))\n\n",
                     "warnings": {},
                     "x": 0,
-                    "y": 1254
+                    "y": 1260
                 }
             },
             "notes": "Inputs: url,  vault_id\nInteractions: Splunk Attack Analyzer\nActions: url detonation, , file detonation\nOutputs: report, observables"
@@ -843,10 +804,10 @@
         ],
         "playbook_type": "data",
         "python_version": "3",
-        "schema": "5.0.8",
-        "version": "5.5.0.108488"
+        "schema": "5.0.9",
+        "version": "6.0.0.114895"
     },
-    "create_time": "2023-04-05T16:45:42.058432+00:00",
+    "create_time": "2023-04-13T14:39:45.850050+00:00",
     "draft_mode": false,
     "labels": [
         "*"
diff --git a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.png b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.png
new file mode 100644
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GIT binary patch
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diff --git a/playbooks/SAA_Dynamic_Analysis.py b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
similarity index 57%
rename from playbooks/SAA_Dynamic_Analysis.py
rename to playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
index 975f9e46bf..4aa3de9054 100644
--- a/playbooks/SAA_Dynamic_Analysis.py
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
@@ -35,7 +35,7 @@ def saa_input_filter(action=None, success=None, container=None, results=None, ha
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
-        saa_url_detonation(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+        url_detonation(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
 
     # collect filtered artifact ids and results for 'if' condition 2
     matched_artifacts_2, matched_results_2 = phantom.condition(
@@ -47,14 +47,14 @@ def saa_input_filter(action=None, success=None, container=None, results=None, ha
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_2 or matched_results_2:
-        saa_file_detonation(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_2, filtered_results=matched_results_2)
+        file_detonation(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_2, filtered_results=matched_results_2)
 
     return
 
 
 @phantom.playbook_block()
-def saa_url_detonation(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("saa_url_detonation() called")
+def url_detonation(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("url_detonation() called")
 
     # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
 
@@ -66,7 +66,7 @@ def saa_url_detonation(action=None, success=None, container=None, results=None,
 
     parameters = []
 
-    # build parameters list for 'saa_url_detonation' call
+    # build parameters list for 'url_detonation' call
     for playbook_input_url_item in playbook_input_url:
         if playbook_input_url_item[0] is not None:
             parameters.append({
@@ -83,7 +83,7 @@ def saa_url_detonation(action=None, success=None, container=None, results=None,
     ## Custom Code End
     ################################################################################
 
-    phantom.act("detonate url", parameters=parameters, name="saa_url_detonation", assets=["splunk attack analyzer"], callback=url_detonation_status_filter_1)
+    phantom.act("detonate url", parameters=parameters, name="url_detonation", assets=["saa"], callback=url_detonation_status_filter_1)
 
     return
 
@@ -100,54 +100,20 @@ def file_detonation_status_filter(action=None, success=None, container=None, res
     matched_artifacts_1, matched_results_1 = phantom.condition(
         container=container,
         conditions=[
-            ["saa_file_detonation:action_result.status", "==", "success"]
+            ["file_detonation:action_result.status", "==", "success"]
         ],
         name="file_detonation_status_filter:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
-        get_jobid_of_file_detonation_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+        get_file_forensics_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
 
     return
 
 
 @phantom.playbook_block()
-def get_jobid_of_url_detonation_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("get_jobid_of_url_detonation_output() called")
-
-    ################################################################################
-    # This block uses custom code for fetching JobID for URL(s) or file(s) detonation.
-    ################################################################################
-
-    saa_url_detonation_result_data = phantom.collect2(container=container, datapath=["saa_url_detonation:action_result.data.*.JobID"], action_results=results)
-
-    saa_url_detonation_result_item_0 = [item[0] for item in saa_url_detonation_result_data]
-
-    get_jobid_of_url_detonation_output__jobid = None
-
-    ################################################################################
-    ## Custom Code Start
-    ################################################################################
-
-    # Write your custom code here...
-    get_jobid_of_url_detonation_output__jobid = []
-
-    get_jobid_of_url_detonation_output__jobid.append(saa_url_detonation_result_item_0)
-    #phantom.debug("get_jobid_of_url_detonation_output__jobid: {}".format(get_jobid_of_url_detonation_output__jobid))
-    ################################################################################
-    ## Custom Code End
-    ################################################################################
-
-    phantom.save_run_data(key="get_jobid_of_url_detonation_output:jobid", value=json.dumps(get_jobid_of_url_detonation_output__jobid))
-
-    ssa_get_job_forensics_output(container=container)
-
-    return
-
-
-@phantom.playbook_block()
-def ssa_get_job_forensics_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("ssa_get_job_forensics_output() called")
+def get_url_forensics_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("get_url_forensics_output() called")
 
     # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
 
@@ -156,35 +122,39 @@ def ssa_get_job_forensics_output(action=None, success=None, container=None, resu
     # to be detonated.
     ################################################################################
 
-    get_jobid_of_url_detonation_output__jobid = json.loads(_ if (_ := phantom.get_run_data(key="get_jobid_of_url_detonation_output:jobid")) != "" else "null")  # pylint: disable=used-before-assignment
+    url_detonation_result_data = phantom.collect2(container=container, datapath=["url_detonation:action_result.data.*.JobID","url_detonation:action_result.parameter.context.artifact_id"], action_results=results)
 
     parameters = []
 
-    if get_jobid_of_url_detonation_output__jobid is not None:
-        parameters.append({
-            "job_id": get_jobid_of_url_detonation_output__jobid,
-            "timeout": 5,
-        })
+    # build parameters list for 'get_url_forensics_output' call
+    for url_detonation_result_item in url_detonation_result_data:
+        if url_detonation_result_item[0] is not None:
+            parameters.append({
+                "job_id": url_detonation_result_item[0],
+                "context": {'artifact_id': url_detonation_result_item[1]},
+            })
 
     ################################################################################
     ## Custom Code Start
     ################################################################################
 
     # Write your custom code here...
-    parameters = []
-    for job_ids in get_jobid_of_url_detonation_output__jobid:
-        for job in job_ids:
-            if job is not None:
-                parameters.append({
-                    "job_id": job,
-                    "timeout": 5,
-                })
+    #parameters = []
+    #for job_ids in url_jobid_detonation_output__jobid:
+    #    for job in job_ids:
+    #        if job is not None:
+    #            parameters.append({
+    #                "job_id": job,
+    #                "timeout": 5,
+    #            })
     #phantom.debug(parameters)
     ################################################################################
     ## Custom Code End
     ################################################################################
 
-    phantom.act("get job forensics", parameters=parameters, name="ssa_get_job_forensics_output", assets=["splunk attack analyzer"], callback=get_jobid_forensic_filter)
+    # calculate start time using delay of 2 minutes
+    start_time = datetime.now() + timedelta(minutes=2)
+    phantom.act("get job forensics", parameters=parameters, name="get_url_forensics_output", start_time=start_time, assets=["saa"], callback=get_jobid_forensic_filter)
 
     return
 
@@ -201,38 +171,37 @@ def get_jobid_forensic_filter(action=None, success=None, container=None, results
     matched_artifacts_1, matched_results_1 = phantom.condition(
         container=container,
         conditions=[
-            ["ssa_get_job_forensics_output:action_result.status", "==", "success"]
+            ["get_url_forensics_output:action_result.status", "==", "success"]
         ],
         name="get_jobid_forensic_filter:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
-        normalized_job_forensic_report_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+        normalized_url_forensic_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
 
     return
 
 
 @phantom.playbook_block()
-def normalized_job_forensic_report_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("normalized_job_forensic_report_output() called")
+def normalized_url_forensic_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("normalized_url_forensic_output() called")
 
     ################################################################################
     # This block uses custom code for normalizing score. Adjust the logic as desired 
     # in the documented sections.
     ################################################################################
 
-    ssa_get_job_forensics_output_result_data = phantom.collect2(container=container, datapath=["ssa_get_job_forensics_output:action_result.data.*.URLs.*.URL","ssa_get_job_forensics_output:action_result.data.*.DisplayScore","ssa_get_job_forensics_output:action_result.data.*.Detections.*.Description","ssa_get_job_forensics_output:action_result.data.*.Verdict","ssa_get_job_forensics_output:action_result.data"], action_results=results)
+    get_url_forensics_output_result_data = phantom.collect2(container=container, datapath=["get_url_forensics_output:action_result.data.*.URLs.*.URL","get_url_forensics_output:action_result.data.*.DisplayScore","get_url_forensics_output:action_result.data.*.Detections.*.Description","get_url_forensics_output:action_result.data.*.Verdict"], action_results=results)
 
-    ssa_get_job_forensics_output_result_item_0 = [item[0] for item in ssa_get_job_forensics_output_result_data]
-    ssa_get_job_forensics_output_result_item_1 = [item[1] for item in ssa_get_job_forensics_output_result_data]
-    ssa_get_job_forensics_output_result_item_2 = [item[2] for item in ssa_get_job_forensics_output_result_data]
-    ssa_get_job_forensics_output_result_item_3 = [item[3] for item in ssa_get_job_forensics_output_result_data]
-    ssa_get_job_forensics_output_result_item_4 = [item[4] for item in ssa_get_job_forensics_output_result_data]
+    get_url_forensics_output_result_item_0 = [item[0] for item in get_url_forensics_output_result_data]
+    get_url_forensics_output_result_item_1 = [item[1] for item in get_url_forensics_output_result_data]
+    get_url_forensics_output_result_item_2 = [item[2] for item in get_url_forensics_output_result_data]
+    get_url_forensics_output_result_item_3 = [item[3] for item in get_url_forensics_output_result_data]
 
-    normalized_job_forensic_report_output__url_score_object = None
-    normalized_job_forensic_report_output__scores = None
-    normalized_job_forensic_report_output__categories = None
-    normalized_job_forensic_report_output__confidence = None
+    normalized_url_forensic_output__url_score_object = None
+    normalized_url_forensic_output__scores = None
+    normalized_url_forensic_output__categories = None
+    normalized_url_forensic_output__score_id = None
 
     ################################################################################
     ## Custom Code Start
@@ -242,34 +211,34 @@ def normalized_job_forensic_report_output(action=None, success=None, container=N
     score_id =0
     score_table = {
         "0":"Unknown",
-        "10":"Very_Safe",
-        "20":"Safe",
-        "30":"Probably_Safe",
-        "40":"Leans_Safe",
-        "50":"May_not_be_Safe",
-        "60":"Exercise_Caution",
-        "70":"Suspicious_or_Risky",
-        "80":"Possibly_Malicious",
-        "90":"Probably_Malicious",
-        "100":"Malicious"
+        "1":"Very_Safe",
+        "2":"Safe",
+        "3":"Probably_Safe",
+        "4":"Leans_Safe",
+        "5":"May_not_be_Safe",
+        "6":"Exercise_Caution",
+        "7":"Suspicious_or_Risky",
+        "8":"Possibly_Malicious",
+        "9":"Probably_Malicious",
+        "10":"Malicious"
     }
     #phantom.debug("url: {}".format(ssa_get_job_forensics_output_result_item_0))
     #phantom.debug("DisplayScore: {}".format(ssa_get_job_forensics_output_result_item_1))
     #phantom.debug("Category: {}".format(ssa_get_job_forensics_output_result_item_2))
     #phantom.debug("verdict: {}".format(ssa_get_job_forensics_output_result_item_3))
     #phantom.debug("action_data: {}".format(ssa_get_job_forensics_output_result_item_4))
-
+    #phantom.debug(get_url_forensics_output_result_item_4)
     
-    normalized_job_forensic_report_output__url_score_object = []
-    normalized_job_forensic_report_output__scores = []
-    normalized_job_forensic_report_output__categories = []
-    normalized_job_forensic_report_output__confidence = []
+    normalized_url_forensic_output__url_score_object = []
+    normalized_url_forensic_output__scores = []
+    normalized_url_forensic_output__categories = []
+    normalized_url_forensic_output__score_id = []
     
     ## normalized NoneType value to avoid enumeration failure
-    url_detonation_param_list =  [(i or "") for i in ssa_get_job_forensics_output_result_item_0] 
-    url_detonation_threat_score_list = [(i or 0) for i in ssa_get_job_forensics_output_result_item_1] 
-    url_detonation_category_list = [(i or "") for i in ssa_get_job_forensics_output_result_item_2] 
-    url_detonation_verdict_list = [(i or "") for i in ssa_get_job_forensics_output_result_item_3] 
+    url_detonation_param_list =  [(i or "") for i in get_url_forensics_output_result_item_0] 
+    url_detonation_threat_score_list = [(i or 0) for i in get_url_forensics_output_result_item_1] 
+    url_detonation_category_list = [(i or "") for i in get_url_forensics_output_result_item_2] 
+    url_detonation_verdict_list = [(i or "") for i in get_url_forensics_output_result_item_3] 
     
     ## get the set() or unique input url parameter.
     
@@ -298,42 +267,43 @@ def normalized_job_forensic_report_output(action=None, success=None, container=N
         #phantom.debug("category_list: {} len: {}".format(category_list, len(category_list)))
         confidence_ = list(set(display_score_list))[0]
         categories = list(set(category_list))
-
+        
+        score = ""
         if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == ""):
             if confidence_ >= 0 and confidence_ < 10:
                           score_id = 0
             elif confidence_ >= 10 and confidence_ < 20:
-                          score_id = 10
+                          score_id = 1
             elif confidence_ >= 20 and confidence_ < 30:
-                          score_id = 20
+                          score_id = 2
             elif confidence_ >= 30 and confidence_ < 40:
-                          score_id = 30
+                          score_id = 3
             elif confidence_ >= 40 and confidence_ < 50:
-                          score_id = 40
+                          score_id = 4
             elif confidence_ >= 50 and confidence_ < 60:
-                          score_id = 50
+                          score_id = 5
             elif confidence_ >= 60 and confidence_ < 70:
-                          score_id = 60
+                          score_id = 6
             elif confidence_ >= 70 and confidence_ < 80:
-                          score_id = 70
+                          score_id = 7
             elif confidence_ >= 80 and confidence_ < 90:
-                          score_id = 80
+                          score_id = 8
             elif confidence_ >= 90 and confidence_ < 100:
-                          score_id = 90
+                          score_id = 9
             elif confidence_ >= 100:
-                          score_id = 100
-            
-            score = score_table[str(score_id)]
-            
+                          score_id = 10
+            #score = score_table[str(score_id)]
         else:
-            score = list(set(score_list))[0]
-                      
+            score_id = round(confidence_/ 10)
+        
+        score = score_table[str(score_id)]
+        
         # Attach final object
-        normalized_job_forensic_report_output__url_score_object.append({'score': score, 'confidence': confidence_, 'categories': categories})
-        normalized_job_forensic_report_output__scores.append(score)
-        normalized_job_forensic_report_output__categories.append(categories)
-        normalized_job_forensic_report_output__confidence.append(confidence_)
-        #phantom.debug("normalized_job_forensic_report_output__url_score_object: {}".format(normalized_job_forensic_report_output__url_score_object))
+        normalized_url_forensic_output__url_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})
+        normalized_url_forensic_output__scores.append(score)
+        normalized_url_forensic_output__categories.append(", ".join(categories))
+        normalized_url_forensic_output__score_id.append(score_id)
+        #phantom.debug("normalized_job_forensic_report_output__url_score_object: {}".format(normalized_url_forensic_output__url_score_object))
         #phantom.debug("normalized_job_forensic_report_output__categories: {}".format(normalized_job_forensic_report_output__categories))
         #phantom.debug("normalized_job_forensic_report_output__confidence: {}".format(normalized_job_forensic_report_output__confidence))
 
@@ -341,10 +311,10 @@ def normalized_job_forensic_report_output(action=None, success=None, container=N
     ## Custom Code End
     ################################################################################
 
-    phantom.save_run_data(key="normalized_job_forensic_report_output:url_score_object", value=json.dumps(normalized_job_forensic_report_output__url_score_object))
-    phantom.save_run_data(key="normalized_job_forensic_report_output:scores", value=json.dumps(normalized_job_forensic_report_output__scores))
-    phantom.save_run_data(key="normalized_job_forensic_report_output:categories", value=json.dumps(normalized_job_forensic_report_output__categories))
-    phantom.save_run_data(key="normalized_job_forensic_report_output:confidence", value=json.dumps(normalized_job_forensic_report_output__confidence))
+    phantom.save_run_data(key="normalized_url_forensic_output:url_score_object", value=json.dumps(normalized_url_forensic_output__url_score_object))
+    phantom.save_run_data(key="normalized_url_forensic_output:scores", value=json.dumps(normalized_url_forensic_output__scores))
+    phantom.save_run_data(key="normalized_url_forensic_output:categories", value=json.dumps(normalized_url_forensic_output__categories))
+    phantom.save_run_data(key="normalized_url_forensic_output:score_id", value=json.dumps(normalized_url_forensic_output__score_id))
 
     format_url_report(container=container)
 
@@ -359,15 +329,15 @@ def format_url_report(action=None, success=None, container=None, results=None, h
     # Format a summary table with the information gathered from the playbook.
     ################################################################################
 
-    template = """SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Score | Confidence |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
+    template = """SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
 
     # parameter list for template variable replacement
     parameters = [
         "playbook_input:url",
-        "normalized_job_forensic_report_output:custom_function:scores",
-        "normalized_job_forensic_report_output:custom_function:confidence",
-        "normalized_job_forensic_report_output:custom_function:categories",
-        "get_jobid_of_url_detonation_output:custom_function:jobid"
+        "normalized_url_forensic_output:custom_function:scores",
+        "normalized_url_forensic_output:custom_function:score_id",
+        "normalized_url_forensic_output:custom_function:categories",
+        "url_detonation:action_result.data.*.JobID"
     ]
 
     ################################################################################
@@ -397,10 +367,11 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
     ################################################################################
 
     playbook_input_url = phantom.collect2(container=container, datapath=["playbook_input:url"])
-    get_jobid_of_url_detonation_output__jobid = json.loads(_ if (_ := phantom.get_run_data(key="get_jobid_of_url_detonation_output:jobid")) != "" else "null")  # pylint: disable=used-before-assignment
-    normalized_job_forensic_report_output__url_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_job_forensic_report_output:url_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
+    url_detonation_result_data = phantom.collect2(container=container, datapath=["url_detonation:action_result.data.*.JobID"], action_results=results)
+    normalized_url_forensic_output__url_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_url_forensic_output:url_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
 
     playbook_input_url_values = [item[0] for item in playbook_input_url]
+    url_detonation_result_item_0 = [item[0] for item in url_detonation_result_data]
 
     build_url_output__observable_array = None
 
@@ -413,17 +384,18 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
     build_url_output__observable_array = []
     #phantom.debug(playbook_input_url_values)
     # Build URL
-    for jobs_id in get_jobid_of_url_detonation_output__jobid:
+
         
-        for url, external_id, url_object in zip(playbook_input_url_values, jobs_id, normalized_job_forensic_report_output__url_score_object):
-            parsed_url = urlparse(url)
-            #phantom.debug("url: {} jobs_id:{}".format(url, external_id))
-            #phantom.debug("parsed_url: {}, url_object: {}".format(parsed_url, url_object))
-            observable_object = {
+    for url, external_id, url_object in zip(playbook_input_url_values, url_detonation_result_item_0, normalized_url_forensic_output__url_score_object):
+        parsed_url = urlparse(url)
+        #phantom.debug("url: {} jobs_id:{}".format(url, external_id))
+        #phantom.debug("parsed_url: {}, url_object: {}".format(parsed_url, url_object))
+        observable_object = {
                 "value": url,
                 "type": "url",
                 "reputation": {
                     "score": url_object['score'],
+                    "score_id": url_object['score_id'],
                     "confidence": url_object['confidence']
                 },
                 "attributes": {
@@ -435,15 +407,15 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
                 "source_link": f"https://app.twinwave.io/job/{external_id}"
             }
 
-            if parsed_url.path:
-                observable_object['attributes']['path'] = parsed_url.path
-            if parsed_url.query:
-                observable_object['attributes']['query'] = parsed_url.query
-            if parsed_url.port:
-                observable_object['attributes']['port'] = parsed_url.port
+        if parsed_url.path:
+            observable_object['attributes']['path'] = parsed_url.path
+        if parsed_url.query:
+            observable_object['attributes']['query'] = parsed_url.query
+        if parsed_url.port:
+            observable_object['attributes']['port'] = parsed_url.port
 
-            build_url_output__observable_array.append(observable_object)
-            #phantom.debug("build_url_output__observable_array: {}".format(build_url_output__observable_array))
+        build_url_output__observable_array.append(observable_object)
+        #phantom.debug("build_url_output__observable_array: {}".format(build_url_output__observable_array))
     ################################################################################
     ## Custom Code End
     ################################################################################
@@ -454,8 +426,8 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
 
 
 @phantom.playbook_block()
-def saa_file_detonation(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("saa_file_detonation() called")
+def file_detonation(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("file_detonation() called")
 
     # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
 
@@ -467,7 +439,7 @@ def saa_file_detonation(action=None, success=None, container=None, results=None,
 
     parameters = []
 
-    # build parameters list for 'saa_file_detonation' call
+    # build parameters list for 'file_detonation' call
     for playbook_input_vault_id_item in playbook_input_vault_id:
         if playbook_input_vault_id_item[0] is not None:
             parameters.append({
@@ -484,48 +456,16 @@ def saa_file_detonation(action=None, success=None, container=None, results=None,
     ## Custom Code End
     ################################################################################
 
-    phantom.act("detonate file", parameters=parameters, name="saa_file_detonation", assets=["splunk attack analyzer"], callback=file_detonation_status_filter)
+    # calculate start time using delay of 2 minutes
+    start_time = datetime.now() + timedelta(minutes=2)
+    phantom.act("detonate file", parameters=parameters, name="file_detonation", start_time=start_time, assets=["saa"], callback=file_detonation_status_filter)
 
     return
 
 
 @phantom.playbook_block()
-def get_jobid_of_file_detonation_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("get_jobid_of_file_detonation_output() called")
-
-    ################################################################################
-    # This block uses custom code for fetching JobID for URL(s) or file(s) detonation.
-    ################################################################################
-
-    saa_file_detonation_result_data = phantom.collect2(container=container, datapath=["saa_file_detonation:action_result.data.*.JobID"], action_results=results)
-
-    saa_file_detonation_result_item_0 = [item[0] for item in saa_file_detonation_result_data]
-
-    get_jobid_of_file_detonation_output__jobid = None
-
-    ################################################################################
-    ## Custom Code Start
-    ################################################################################
-
-    # Write your custom code here...
-    get_jobid_of_file_detonation_output__jobid = []
-
-    get_jobid_of_file_detonation_output__jobid.append(saa_file_detonation_result_item_0)
-    #phantom.debug("get_jobid_of_file_detonation_output__jobid: {}".format(get_jobid_of_file_detonation_output__jobid))
-    ################################################################################
-    ## Custom Code End
-    ################################################################################
-
-    phantom.save_run_data(key="get_jobid_of_file_detonation_output:jobid", value=json.dumps(get_jobid_of_file_detonation_output__jobid))
-
-    saa_get_file_job_forensics_output(container=container)
-
-    return
-
-
-@phantom.playbook_block()
-def saa_get_file_job_forensics_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("saa_get_file_job_forensics_output() called")
+def get_file_forensics_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("get_file_forensics_output() called")
 
     # phantom.debug('Action: {0} {1}'.format(action['name'], ('SUCCEEDED' if success else 'FAILED')))
 
@@ -534,42 +474,46 @@ def saa_get_file_job_forensics_output(action=None, success=None, container=None,
     # to be detonated.
     ################################################################################
 
-    get_jobid_of_file_detonation_output__jobid = json.loads(_ if (_ := phantom.get_run_data(key="get_jobid_of_file_detonation_output:jobid")) != "" else "null")  # pylint: disable=used-before-assignment
+    file_detonation_result_data = phantom.collect2(container=container, datapath=["file_detonation:action_result.data.*.JobID","file_detonation:action_result.parameter.context.artifact_id"], action_results=results)
 
     parameters = []
 
-    if get_jobid_of_file_detonation_output__jobid is not None:
-        parameters.append({
-            "job_id": get_jobid_of_file_detonation_output__jobid,
-            "timeout": 5,
-        })
+    # build parameters list for 'get_file_forensics_output' call
+    for file_detonation_result_item in file_detonation_result_data:
+        if file_detonation_result_item[0] is not None:
+            parameters.append({
+                "job_id": file_detonation_result_item[0],
+                "context": {'artifact_id': file_detonation_result_item[1]},
+            })
 
     ################################################################################
     ## Custom Code Start
     ################################################################################
 
     # Write your custom code here...
-    parameters = []
-    for job_ids in get_jobid_of_file_detonation_output__jobid:
-        for job in job_ids:
-            if job is not None:
-                parameters.append({
-                    "job_id": job,
-                    "timeout": 5,
-                })
+    #parameters = []
+    #for job_ids in file_jobid_detonation_output__jobid:
+    #    for job in job_ids:
+    #        if job is not None:
+    #            parameters.append({
+    #                "job_id": job,
+    #                "timeout": 5,
+    #            })
     #phantom.debug(parameters)
     ################################################################################
     ## Custom Code End
     ################################################################################
 
-    phantom.act("get job forensics", parameters=parameters, name="saa_get_file_job_forensics_output", assets=["splunk attack analyzer"], callback=filter_6)
+    # calculate start time using delay of 2 minutes
+    start_time = datetime.now() + timedelta(minutes=2)
+    phantom.act("get job forensics", parameters=parameters, name="get_file_forensics_output", start_time=start_time, assets=["saa"], callback=filter_6)
 
     return
 
 
 @phantom.playbook_block()
-def normalized_job_forensic_report_output_1(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("normalized_job_forensic_report_output_1() called")
+def normalized_file_forensic_output(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("normalized_file_forensic_output() called")
 
     ################################################################################
     # This block uses custom code for normalizing score. Adjust the logic as desired 
@@ -577,18 +521,17 @@ def normalized_job_forensic_report_output_1(action=None, success=None, container
     ################################################################################
 
     playbook_input_vault_id = phantom.collect2(container=container, datapath=["playbook_input:vault_id"])
-    saa_get_file_job_forensics_output_result_data = phantom.collect2(container=container, datapath=["saa_get_file_job_forensics_output:action_result.data.*.DisplayScore","saa_get_file_job_forensics_output:action_result.data.*.Detections.*.Description","saa_get_file_job_forensics_output:action_result.data.*.Verdict","saa_get_file_job_forensics_output:action_result.data"], action_results=results)
+    get_file_forensics_output_result_data = phantom.collect2(container=container, datapath=["get_file_forensics_output:action_result.data.*.DisplayScore","get_file_forensics_output:action_result.data.*.Detections.*.Description","get_file_forensics_output:action_result.data.*.Verdict"], action_results=results)
 
     playbook_input_vault_id_values = [item[0] for item in playbook_input_vault_id]
-    saa_get_file_job_forensics_output_result_item_0 = [item[0] for item in saa_get_file_job_forensics_output_result_data]
-    saa_get_file_job_forensics_output_result_item_1 = [item[1] for item in saa_get_file_job_forensics_output_result_data]
-    saa_get_file_job_forensics_output_result_item_2 = [item[2] for item in saa_get_file_job_forensics_output_result_data]
-    saa_get_file_job_forensics_output_result_item_3 = [item[3] for item in saa_get_file_job_forensics_output_result_data]
+    get_file_forensics_output_result_item_0 = [item[0] for item in get_file_forensics_output_result_data]
+    get_file_forensics_output_result_item_1 = [item[1] for item in get_file_forensics_output_result_data]
+    get_file_forensics_output_result_item_2 = [item[2] for item in get_file_forensics_output_result_data]
 
-    normalized_job_forensic_report_output_1__file_score_object = None
-    normalized_job_forensic_report_output_1__scores = None
-    normalized_job_forensic_report_output_1__categories = None
-    normalized_job_forensic_report_output_1__confidence = None
+    normalized_file_forensic_output__file_score_object = None
+    normalized_file_forensic_output__scores = None
+    normalized_file_forensic_output__categories = None
+    normalized_file_forensic_output__score_id = None
 
     ################################################################################
     ## Custom Code Start
@@ -598,34 +541,34 @@ def normalized_job_forensic_report_output_1(action=None, success=None, container
     score_id =0
     score_table = {
         "0":"Unknown",
-        "10":"Very_Safe",
-        "20":"Safe",
-        "30":"Probably_Safe",
-        "40":"Leans_Safe",
-        "50":"May_not_be_Safe",
-        "60":"Exercise_Caution",
-        "70":"Suspicious_or_Risky",
-        "80":"Possibly_Malicious",
-        "90":"Probably_Malicious",
-        "100":"Malicious"
+        "1":"Very_Safe",
+        "2":"Safe",
+        "3":"Probably_Safe",
+        "4":"Leans_Safe",
+        "5":"May_not_be_Safe",
+        "6":"Exercise_Caution",
+        "7":"Suspicious_or_Risky",
+        "8":"Possibly_Malicious",
+        "9":"Probably_Malicious",
+        "10":"Malicious"
     }
     #phantom.debug("vault_id: {}".format(ssa_get_job_forensics_output_result_item_0))
     #phantom.debug("DisplayScore: {}".format(ssa_get_job_forensics_output_result_item_1))
     #phantom.debug("Category: {}".format(ssa_get_job_forensics_output_result_item_2))
     #phantom.debug("verdict: {}".format(ssa_get_job_forensics_output_result_item_3))
     #phantom.debug("action_data: {}".format(ssa_get_job_forensics_output_result_item_4))
-
+    #phantom.debug(get_file_forensics_output_result_item_3)
     
-    normalized_job_forensic_report_output_1__file_score_object = []
-    normalized_job_forensic_report_output_1__scores = []
-    normalized_job_forensic_report_output_1__categories = []
-    normalized_job_forensic_report_output_1__confidence = []
+    normalized_file_forensic_output__file_score_object = []
+    normalized_file_forensic_output__scores = []
+    normalized_file_forensic_output__categories = []
+    normalized_file_forensic_output__score_id = []
     
     ## normalized NoneType value to avoid enumeration failure
     file_detonation_param_list =  [(i or "") for i in playbook_input_vault_id_values] 
-    file_detonation_threat_score_list = [(i or 0) for i in saa_get_file_job_forensics_output_result_item_0] 
-    file_detonation_category_list = [(i or "") for i in saa_get_file_job_forensics_output_result_item_1] 
-    file_detonation_verdict_list = [(i or "") for i in saa_get_file_job_forensics_output_result_item_2] 
+    file_detonation_threat_score_list = [(i or 0) for i in get_file_forensics_output_result_item_0] 
+    file_detonation_category_list = [(i or "") for i in get_file_forensics_output_result_item_1] 
+    file_detonation_verdict_list = [(i or "") for i in get_file_forensics_output_result_item_2] 
     
     ## get the set() or unique input url parameter.
     
@@ -654,41 +597,43 @@ def normalized_job_forensic_report_output_1(action=None, success=None, container
         #phantom.debug("category_list: {} len: {}".format(category_list, len(category_list)))
         confidence_ = list(set(display_score_list))[0]
         categories = list(set(category_list))
+        #score_ = list(set(score_list))[0]
         
+        score = ""
         if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == ""):
             if confidence_ >= 0 and confidence_ < 10:
                           score_id = 0
             elif confidence_ >= 10 and confidence_ < 20:
-                          score_id = 10
+                          score_id = 1
             elif confidence_ >= 20 and confidence_ < 30:
-                          score_id = 20
+                          score_id = 2
             elif confidence_ >= 30 and confidence_ < 40:
-                          score_id = 30
+                          score_id = 3
             elif confidence_ >= 40 and confidence_ < 50:
-                          score_id = 40
+                          score_id = 4
             elif confidence_ >= 50 and confidence_ < 60:
-                          score_id = 50
+                          score_id = 5
             elif confidence_ >= 60 and confidence_ < 70:
-                          score_id = 60
+                          score_id = 6
             elif confidence_ >= 70 and confidence_ < 80:
-                          score_id = 70
+                          score_id = 7
             elif confidence_ >= 80 and confidence_ < 90:
-                          score_id = 80
+                          score_id = 8
             elif confidence_ >= 90 and confidence_ < 100:
-                          score_id = 90
+                          score_id = 9
             elif confidence_ >= 100:
-                          score_id = 100
-            
-            score = score_table[str(score_id)]
+                          score_id = 10
             
         else:
-            score = list(set(score_list))[0]
-                      
+            score_id = round(confidence_/ 10)
+        
+        score = score_table[str(score_id)]
+        #phantom.debug("score: {} score_id {}".format(score, score_id))
         # Attach final object
-        normalized_job_forensic_report_output_1__file_score_object.append({'score': score, 'confidence': confidence_, 'categories': categories})
-        normalized_job_forensic_report_output_1__scores.append(score)
-        normalized_job_forensic_report_output_1__categories.append(categories)
-        normalized_job_forensic_report_output_1__confidence.append(confidence_)
+        normalized_file_forensic_output__file_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})
+        normalized_file_forensic_output__scores.append(score)
+        normalized_file_forensic_output__categories.append(", ".join(categories))
+        normalized_file_forensic_output__score_id.append(score_id)
         #phantom.debug("normalized_job_forensic_report_output_1__file_score_object: {}".format(normalized_job_forensic_report_output_1__file_score_object))
         #phantom.debug("normalized_job_forensic_report_output_1__scores: {}".format(normalized_job_forensic_report_output_1__scores))
         #phantom.debug("normalized_job_forensic_report_output_1__categories: {}".format(normalized_job_forensic_report_output_1__categories))
@@ -696,10 +641,10 @@ def normalized_job_forensic_report_output_1(action=None, success=None, container
     ## Custom Code End
     ################################################################################
 
-    phantom.save_run_data(key="normalized_job_forensic_report_output_1:file_score_object", value=json.dumps(normalized_job_forensic_report_output_1__file_score_object))
-    phantom.save_run_data(key="normalized_job_forensic_report_output_1:scores", value=json.dumps(normalized_job_forensic_report_output_1__scores))
-    phantom.save_run_data(key="normalized_job_forensic_report_output_1:categories", value=json.dumps(normalized_job_forensic_report_output_1__categories))
-    phantom.save_run_data(key="normalized_job_forensic_report_output_1:confidence", value=json.dumps(normalized_job_forensic_report_output_1__confidence))
+    phantom.save_run_data(key="normalized_file_forensic_output:file_score_object", value=json.dumps(normalized_file_forensic_output__file_score_object))
+    phantom.save_run_data(key="normalized_file_forensic_output:scores", value=json.dumps(normalized_file_forensic_output__scores))
+    phantom.save_run_data(key="normalized_file_forensic_output:categories", value=json.dumps(normalized_file_forensic_output__categories))
+    phantom.save_run_data(key="normalized_file_forensic_output:score_id", value=json.dumps(normalized_file_forensic_output__score_id))
 
     format_file_report(container=container)
 
@@ -714,15 +659,15 @@ def format_file_report(action=None, success=None, container=None, results=None,
     # Format a summary table with the information gathered from the playbook.
     ################################################################################
 
-    template = """SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| File hash | Score | Confidence |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
+    template = """SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| vault_id | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
 
     # parameter list for template variable replacement
     parameters = [
         "playbook_input:vault_id",
-        "normalized_job_forensic_report_output_1:custom_function:scores",
-        "normalized_job_forensic_report_output_1:custom_function:confidence",
-        "normalized_job_forensic_report_output_1:custom_function:categories",
-        "get_jobid_of_file_detonation_output:custom_function:jobid"
+        "normalized_file_forensic_output:custom_function:scores",
+        "normalized_file_forensic_output:custom_function:score_id",
+        "normalized_file_forensic_output:custom_function:categories",
+        "file_detonation:action_result.data.*.JobID"
     ]
 
     ################################################################################
@@ -752,10 +697,11 @@ def build_file_output(action=None, success=None, container=None, results=None, h
     ################################################################################
 
     playbook_input_vault_id = phantom.collect2(container=container, datapath=["playbook_input:vault_id"])
-    get_jobid_of_file_detonation_output__jobid = json.loads(_ if (_ := phantom.get_run_data(key="get_jobid_of_file_detonation_output:jobid")) != "" else "null")  # pylint: disable=used-before-assignment
-    normalized_job_forensic_report_output_1__file_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_job_forensic_report_output_1:file_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
+    file_detonation_result_data = phantom.collect2(container=container, datapath=["file_detonation:action_result.data.*.JobID"], action_results=results)
+    normalized_file_forensic_output__file_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_file_forensic_output:file_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
 
     playbook_input_vault_id_values = [item[0] for item in playbook_input_vault_id]
+    file_detonation_result_item_0 = [item[0] for item in file_detonation_result_data]
 
     build_file_output__observable_array = None
 
@@ -765,15 +711,16 @@ def build_file_output(action=None, success=None, container=None, results=None, h
 
     # Write your custom code here...
     build_file_output__observable_array = []
-    for jobs_id in get_jobid_of_file_detonation_output__jobid:
-        for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, jobs_id, normalized_job_forensic_report_output_1__file_score_object):
-            #phantom.debug("vault: {} id: {}".format(_vault_id, external_id))
-            observable_object = {
+
+    for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, file_detonation_result_item_0, normalized_file_forensic_output__file_score_object):
+        #phantom.debug("vault: {} id: {}".format(_vault_id, external_id))
+        observable_object = {
 
                 "value": _vault_id,
                 "type": "hash",
                 "reputation": {
                     "score": file_object['score'],
+                    "score_id": file_object['score_id'],
                     "confidence": file_object['confidence'],
 
                 },
@@ -786,8 +733,8 @@ def build_file_output(action=None, success=None, container=None, results=None, h
                 "source": "Splunk Attack Analyzer (SAA)",
                 "source_link":f"https://app.twinwave.io/job/{external_id}"
             }
-            build_file_output__observable_array.append(observable_object)
-            #phantom.debug("build_file_output__observable_array: {}".format(build_file_output__observable_array))
+        build_file_output__observable_array.append(observable_object)
+        #phantom.debug("build_file_output__observable_array: {}".format(build_file_output__observable_array))
     ################################################################################
     ## Custom Code End
     ################################################################################
@@ -809,13 +756,13 @@ def url_detonation_status_filter_1(action=None, success=None, container=None, re
     matched_artifacts_1, matched_results_1 = phantom.condition(
         container=container,
         conditions=[
-            ["saa_url_detonation:action_result.status", "==", "success"]
+            ["url_detonation:action_result.status", "==", "success"]
         ],
         name="url_detonation_status_filter_1:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
-        get_jobid_of_url_detonation_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+        get_url_forensics_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
 
     return
 
@@ -828,13 +775,13 @@ def filter_6(action=None, success=None, container=None, results=None, handle=Non
     matched_artifacts_1, matched_results_1 = phantom.condition(
         container=container,
         conditions=[
-            ["saa_get_file_job_forensics_output:action_result.status", "==", "success"]
+            ["get_file_forensics_output:action_result.status", "==", "success"]
         ],
         name="filter_6:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
-        normalized_job_forensic_report_output_1(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
+        normalized_file_forensic_output(action=action, success=success, container=container, results=results, handle=handle, filtered_artifacts=matched_artifacts_1, filtered_results=matched_results_1)
 
     return
 
diff --git a/playbooks/SAA_Dynamic_Analysis.yml b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.yml
similarity index 83%
rename from playbooks/SAA_Dynamic_Analysis.yml
rename to playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.yml
index 2c839210a3..0d61fb92c3 100644
--- a/playbooks/SAA_Dynamic_Analysis.yml
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.yml
@@ -1,11 +1,11 @@
-name: SAA Dynamic Analysis
-id: 2754c122-c63b-4558-9b83-23c1e1b96177
+name: Splunk_Attack_Analyzer_Dynamic_Analysis
+id: c77faffe-1339-43b0-b870-86582da9063e
 version: 1
 date: '2023-03-24'
 author: Teoderick Contreras, Splunk
 type: Investigation
 description: "Accepts url link, domain or vault_id (hash) to be detonated using Splunk Attacker (SAA) API connector. This playbook produces a normalized output for each user and device."
-playbook: SAA_Dynamic_Analysis
+playbook: Splunk_Attack_Analyzer_Dynamic_Analysis
 how_to_implement: This input playbook requires the SAA API connector to be configured. It is designed to work in conjunction with the Dynamic Attribute Lookup playbook or other playbooks in the same style. 
 references: []
 app_list: 

From 7cf8ed5d94c7efe86e8030f607041073948e6ae2 Mon Sep 17 00:00:00 2001
From: Kelby Shelton <kelbys@splunk.com>
Date: Fri, 28 Apr 2023 20:12:29 -0500
Subject: [PATCH 2/3] Recommended changes to attack analyzer playbook

---
 ...lunk_Attack_Analyzer_Dynamic_Analysis.json | 135 ++++----
 ...Splunk_Attack_Analyzer_Dynamic_Analysis.py | 308 ++++++------------
 2 files changed, 165 insertions(+), 278 deletions(-)

diff --git a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
index a3e71d5a4b..107384ef88 100644
--- a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
@@ -156,7 +156,7 @@
                     "targetPort": "15_in"
                 }
             ],
-            "hash": "e8e4290e9196ed3b9dc21a9395efea9b415a12af",
+            "hash": "97d3aa1e96d0ec556004151086384b4841477f03",
             "nodes": {
                 "0": {
                     "data": {
@@ -172,7 +172,7 @@
                     "type": "start",
                     "warnings": {},
                     "x": 190,
-                    "y": -5.755396159656812e-13
+                    "y": -7.673861546209082e-13
                 },
                 "1": {
                     "data": {
@@ -204,24 +204,20 @@
                         "functionName": "format_url_report",
                         "id": "10",
                         "parameters": [
-                            "playbook_input:url",
+                            "normalized_url_forensic_output:custom_function:url",
                             "normalized_url_forensic_output:custom_function:scores",
                             "normalized_url_forensic_output:custom_function:score_id",
                             "normalized_url_forensic_output:custom_function:categories",
-                            "url_detonation:action_result.data.*.JobID"
+                            "normalized_url_forensic_output:custom_function:job_id"
                         ],
-                        "template": "SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
+                        "template": "SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | Score Id | Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} | https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
                         "type": "format"
                     },
                     "errors": {},
                     "id": "10",
                     "type": "format",
                     "userCode": "\n    # Write your custom code here...\n    #phantom.debug(phantom.format(container=container, template=template, parameters=parameters, name=\"format_report_url\"))\n",
-                    "warnings": {
-                        "config": [
-                            "Reconfigure invalid datapath."
-                        ]
-                    },
+                    "warnings": {},
                     "x": 0,
                     "y": 1440
                 },
@@ -238,8 +234,8 @@
                         "functionName": "build_url_output",
                         "id": "11",
                         "inputParameters": [
-                            "playbook_input:url",
-                            "url_detonation:action_result.data.*.JobID",
+                            "normalized_url_forensic_output:custom_function:url",
+                            "normalized_url_forensic_output:custom_function:job_id",
                             "normalized_url_forensic_output:custom_function:url_score_object"
                         ],
                         "outputVariables": [
@@ -250,12 +246,8 @@
                     "errors": {},
                     "id": "11",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n\n        \n    for url, external_id, url_object in zip(playbook_input_url_values, url_detonation_result_item_0, normalized_url_forensic_output__url_score_object):\n        parsed_url = urlparse(url)\n        #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n        #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n        observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"score\": url_object['score'],\n                    \"score_id\": url_object['score_id'],\n                    \"confidence\": url_object['confidence']\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"categories\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n        if parsed_url.path:\n            observable_object['attributes']['path'] = parsed_url.path\n        if parsed_url.query:\n            observable_object['attributes']['query'] = parsed_url.query\n        if parsed_url.port:\n            observable_object['attributes']['port'] = parsed_url.port\n\n        build_url_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
-                    "warnings": {
-                        "config": [
-                            "Reconfigure invalid datapath."
-                        ]
-                    },
+                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n\n        \n    for url, external_id, url_object in zip(normalized_url_forensic_output__url, normalized_url_forensic_output__job_id, normalized_url_forensic_output__url_score_object):\n        parsed_url = urlparse(url)\n        #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n        #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n        observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"base_score\": url_object['base_score'],\n                    \"score\": url_object['score'],\n                    \"score_id\": url_object['score_id'],\n                    \"confidence\": url_object['score_id'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"categories\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n        if parsed_url.path:\n            observable_object['attributes']['path'] = parsed_url.path\n        if parsed_url.query:\n            observable_object['attributes']['query'] = parsed_url.query\n        if parsed_url.port:\n            observable_object['attributes']['port'] = parsed_url.port\n\n        build_url_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
+                    "warnings": {},
                     "x": 0,
                     "y": 1620
                 },
@@ -266,14 +258,14 @@
                         "advanced": {
                             "customName": "file detonation",
                             "customNameId": 0,
-                            "delayTime": 2,
+                            "delayTime": 0,
                             "description": "Queries SAA for information about the provided vault_id(s)",
                             "join": [],
                             "note": "Queries SAA for information about the provided vault_id(s)"
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "saa"
+                            "splunk_attack_analyzer"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
@@ -309,14 +301,14 @@
                         "advanced": {
                             "customName": "get file forensics output",
                             "customNameId": 0,
-                            "delayTime": 2,
+                            "delayTime": 0,
                             "description": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated.",
                             "join": [],
                             "note": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated."
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "saa"
+                            "splunk_attack_analyzer"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
@@ -324,7 +316,8 @@
                         "functionName": "get_file_forensics_output",
                         "id": "15",
                         "parameters": {
-                            "job_id": "file_detonation:action_result.data.*.JobID"
+                            "job_id": "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
+                            "timeout": "10"
                         },
                         "requiredParameters": [
                             {
@@ -355,28 +348,27 @@
                         "functionName": "normalized_file_forensic_output",
                         "id": "17",
                         "inputParameters": [
-                            "playbook_input:vault_id",
-                            "get_file_forensics_output:action_result.data.*.DisplayScore",
-                            "get_file_forensics_output:action_result.data.*.Detections.*.Description",
-                            "get_file_forensics_output:action_result.data.*.Verdict"
+                            "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.parameter.file",
+                            "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
+                            "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.parameter.job_id",
+                            "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Score",
+                            "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Detections"
                         ],
                         "outputVariables": [
                             "file_score_object",
                             "scores",
                             "categories",
-                            "score_id"
+                            "score_id",
+                            "file",
+                            "job_id"
                         ],
                         "type": "code"
                     },
                     "errors": {},
                     "id": "17",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    #phantom.debug(\"vault_id: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n    #phantom.debug(get_file_forensics_output_result_item_3)\n    \n    normalized_file_forensic_output__file_score_object = []\n    normalized_file_forensic_output__scores = []\n    normalized_file_forensic_output__categories = []\n    normalized_file_forensic_output__score_id = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    file_detonation_param_list =  [(i or \"\") for i in playbook_input_vault_id_values] \n    file_detonation_threat_score_list = [(i or 0) for i in get_file_forensics_output_result_item_0] \n    file_detonation_category_list = [(i or \"\") for i in get_file_forensics_output_result_item_1] \n    file_detonation_verdict_list = [(i or \"\") for i in get_file_forensics_output_result_item_2] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_file_dict = {}\n    set_file_inputs = set(file_detonation_param_list)\n    \n    for file_input in set_file_inputs:\n        vaultid_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        file_input_index = [indx for indx, vaultid_val in enumerate(file_detonation_param_list) if vaultid_val == file_input]\n        index_file_dict[file_input] = file_input_index\n        \n        for idx,(_vaultid, _score, _display_score, _category) in enumerate(zip(file_detonation_param_list, file_detonation_verdict_list, file_detonation_threat_score_list, file_detonation_category_list)):\n            if _vaultid == file_input and idx in index_file_dict[file_input]:\n                vaultid_list.append(_vaultid)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n        #score_ = list(set(score_list))[0]\n        \n        score = \"\"\n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 1\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 2\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 3\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 4\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 5\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 6\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 7\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 8\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 9\n            elif confidence_ >= 100:\n                          score_id = 10\n            \n        else:\n            score_id = round(confidence_/ 10)\n        \n        score = score_table[str(score_id)]\n        #phantom.debug(\"score: {} score_id {}\".format(score, score_id))\n        # Attach final object\n        normalized_file_forensic_output__file_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})\n        normalized_file_forensic_output__scores.append(score)\n        normalized_file_forensic_output__categories.append(\", \".join(categories))\n        normalized_file_forensic_output__score_id.append(score_id)\n        #phantom.debug(\"normalized_job_forensic_report_output_1__file_score_object: {}\".format(normalized_job_forensic_report_output_1__file_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__scores: {}\".format(normalized_job_forensic_report_output_1__scores))\n        #phantom.debug(\"normalized_job_forensic_report_output_1__categories: {}\".format(normalized_job_forensic_report_output_1__categories))\n",
-                    "warnings": {
-                        "config": [
-                            "Reconfigure invalid datapath."
-                        ]
-                    },
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_file_forensic_output__file_score_object = []\n    normalized_file_forensic_output__scores = []\n    normalized_file_forensic_output__categories = []\n    normalized_file_forensic_output__score_id = []\n    normalized_file_forensic_output__file = []\n    normalized_file_forensic_output__job_id = []\n    \n    ## pair forensic job results with url detonated\n    job_file_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_file, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_file_dict[filtered_job] = orig_url\n\n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = score_num/10 if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        file = job_file_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        normalized_file_forensic_output__file_score_object.append({'value': file, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_file_forensic_output__scores.append(score)\n        normalized_file_forensic_output__categories.append(\", \".join(categories))\n        normalized_file_forensic_output__score_id.append(score_id)\n        normalized_file_forensic_output__file.append(file)\n        normalized_file_forensic_output__job_id.append(job)\n        \n",
+                    "warnings": {},
                     "x": 340,
                     "y": 1260
                 },
@@ -393,24 +385,20 @@
                         "functionName": "format_file_report",
                         "id": "18",
                         "parameters": [
-                            "playbook_input:vault_id",
-                            "normalized_file_forensic_output:custom_function:scores",
+                            "normalized_file_forensic_output:custom_function:file",
+                            "normalized_file_forensic_output:custom_function:score",
                             "normalized_file_forensic_output:custom_function:score_id",
                             "normalized_file_forensic_output:custom_function:categories",
-                            "file_detonation:action_result.data.*.JobID"
+                            "normalized_file_forensic_output:custom_function:job_id"
                         ],
-                        "template": "SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| vault_id | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
+                        "template": "SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| Vauld Id | Normalized Score | Score Id | Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} | https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n",
                         "type": "format"
                     },
                     "errors": {},
                     "id": "18",
                     "type": "format",
                     "userCode": "\n    # Write your custom code here...\n    #phantom.debug(phantom.format(container=container, template=template, parameters=parameters, name=\"format_report_file\"))\n",
-                    "warnings": {
-                        "config": [
-                            "Reconfigure invalid datapath."
-                        ]
-                    },
+                    "warnings": {},
                     "x": 340,
                     "y": 1440
                 },
@@ -427,8 +415,8 @@
                         "functionName": "build_file_output",
                         "id": "19",
                         "inputParameters": [
-                            "playbook_input:vault_id",
-                            "file_detonation:action_result.data.*.JobID",
+                            "normalized_file_forensic_output:custom_function:file",
+                            "normalized_file_forensic_output:custom_function:job_id",
                             "normalized_file_forensic_output:custom_function:file_score_object"
                         ],
                         "outputVariables": [
@@ -439,12 +427,8 @@
                     "errors": {},
                     "id": "19",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n\n    for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, file_detonation_result_item_0, normalized_file_forensic_output__file_score_object):\n        #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n        observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"score\": file_object['score'],\n                    \"score_id\": file_object['score_id'],\n                    \"confidence\": file_object['confidence'],\n\n                },\n                \"enrichment\": {\n                    \"provider\": \"Splunk Attack Analyzer\",\n                    \"type\": \"file\",\n\n                },\n                \"categories\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer (SAA)\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n        build_file_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_file_output__observable_array: {}\".format(build_file_output__observable_array))\n",
-                    "warnings": {
-                        "config": [
-                            "Reconfigure invalid datapath."
-                        ]
-                    },
+                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n\n    for _vault_id, external_id, file_object in zip(normalized_file_forensic_output__file, normalized_file_forensic_output__job_id, normalized_file_forensic_output__file_score_object):\n        #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n        observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"base_score\": file_object['base_score'],\n                    \"score\": file_object['score'],\n                    \"score_id\": file_object['score_id'],\n                    \"confidence\": file_object['confidence'],\n                    \"confidence\": file_object['score_id'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"enrichment\": {\n                    \"provider\": \"Splunk Attack Analyzer\",\n                    \"type\": \"file\",\n\n                },\n                \"categories\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n        build_file_output__observable_array.append(observable_object)\n    \n",
+                    "warnings": {},
                     "x": 340,
                     "y": 1620
                 },
@@ -504,8 +488,8 @@
                 "22": {
                     "data": {
                         "advanced": {
-                            "customName": "url detonation status filter",
-                            "customNameId": 1,
+                            "customName": "url status filter",
+                            "customNameId": 0,
                             "description": "Filters url detonation results.",
                             "join": [],
                             "note": "Filters  url detonation results."
@@ -526,7 +510,7 @@
                             }
                         ],
                         "functionId": 5,
-                        "functionName": "url_detonation_status_filter_1",
+                        "functionName": "url_status_filter",
                         "id": "22",
                         "type": "filter"
                     },
@@ -540,7 +524,11 @@
                 "23": {
                     "data": {
                         "advanced": {
-                            "join": []
+                            "customName": "file forensics filter",
+                            "customNameId": 0,
+                            "description": "Filters successful file detonation job forensic results.",
+                            "join": [],
+                            "note": "Filters successful file detonation job forensic results."
                         },
                         "conditions": [
                             {
@@ -558,7 +546,7 @@
                             }
                         ],
                         "functionId": 6,
-                        "functionName": "filter_6",
+                        "functionName": "file_forensics_filter",
                         "id": "23",
                         "type": "filter"
                     },
@@ -583,7 +571,7 @@
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "saa"
+                            "splunk_attack_analyzer"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
@@ -626,7 +614,7 @@
                             {
                                 "comparisons": [
                                     {
-                                        "conditionIndex": 1,
+                                        "conditionIndex": 0,
                                         "op": "==",
                                         "param": "file_detonation:action_result.status",
                                         "value": "success"
@@ -656,14 +644,15 @@
                         "advanced": {
                             "customName": "get url forensics output",
                             "customNameId": 0,
-                            "delayTime": 2,
+                            "delayTime": 0,
                             "description": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated.",
                             "join": [],
-                            "note": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated."
+                            "note": "Queries SAA Forensics data relative to the JobID of URL(s) or File(s) needs to be detonated.",
+                            "reviewer": ""
                         },
                         "connector": "Splunk Attack Analyzer",
                         "connectorConfigs": [
-                            "saa"
+                            "splunk_attack_analyzer"
                         ],
                         "connectorId": "de681fee-c552-45bf-9212-827b1c7529f8",
                         "connectorVersion": "v1",
@@ -671,7 +660,8 @@
                         "functionName": "get_url_forensics_output",
                         "id": "6",
                         "parameters": {
-                            "job_id": "url_detonation:action_result.data.*.JobID"
+                            "job_id": "filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID",
+                            "timeout": "5"
                         },
                         "requiredParameters": [
                             {
@@ -694,9 +684,9 @@
                         "advanced": {
                             "customName": "get jobid forensic filter",
                             "customNameId": 0,
-                            "description": "Filters successful url or file detonation job forensic results.",
+                            "description": "Filters successful url detonation job forensic results.",
                             "join": [],
-                            "note": "Filters successful url or file detonation job forensic results."
+                            "note": "Filters successful url detonation job forensic results."
                         },
                         "conditions": [
                             {
@@ -738,23 +728,26 @@
                         "functionName": "normalized_url_forensic_output",
                         "id": "8",
                         "inputParameters": [
-                            "get_url_forensics_output:action_result.data.*.URLs.*.URL",
-                            "get_url_forensics_output:action_result.data.*.DisplayScore",
-                            "get_url_forensics_output:action_result.data.*.Detections.*.Description",
-                            "get_url_forensics_output:action_result.data.*.Verdict"
+                            "filtered-data:url_status_filter:condition_1:url_detonation:action_result.parameter.url",
+                            "filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID",
+                            "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.parameter.job_id",
+                            "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Score",
+                            "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Detections"
                         ],
                         "outputVariables": [
                             "url_score_object",
                             "scores",
                             "categories",
-                            "score_id"
+                            "score_id",
+                            "url",
+                            "job_id"
                         ],
                         "type": "code"
                     },
                     "errors": {},
                     "id": "8",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    #phantom.debug(\"url: {}\".format(ssa_get_job_forensics_output_result_item_0))\n    #phantom.debug(\"DisplayScore: {}\".format(ssa_get_job_forensics_output_result_item_1))\n    #phantom.debug(\"Category: {}\".format(ssa_get_job_forensics_output_result_item_2))\n    #phantom.debug(\"verdict: {}\".format(ssa_get_job_forensics_output_result_item_3))\n    #phantom.debug(\"action_data: {}\".format(ssa_get_job_forensics_output_result_item_4))\n    #phantom.debug(get_url_forensics_output_result_item_4)\n    \n    normalized_url_forensic_output__url_score_object = []\n    normalized_url_forensic_output__scores = []\n    normalized_url_forensic_output__categories = []\n    normalized_url_forensic_output__score_id = []\n    \n    ## normalized NoneType value to avoid enumeration failure\n    url_detonation_param_list =  [(i or \"\") for i in get_url_forensics_output_result_item_0] \n    url_detonation_threat_score_list = [(i or 0) for i in get_url_forensics_output_result_item_1] \n    url_detonation_category_list = [(i or \"\") for i in get_url_forensics_output_result_item_2] \n    url_detonation_verdict_list = [(i or \"\") for i in get_url_forensics_output_result_item_3] \n    \n    ## get the set() or unique input url parameter.\n    \n    index_url_dict = {}\n    set_url_inputs = set(url_detonation_param_list)\n    \n    for url_input in set_url_inputs:\n        url_list = []\n        score_list = []\n        display_score_list = []\n        category_list = []\n        \n        ## getting the index of each detonation phase of the url group the result for each url detonation\n        url_input_index = [indx for indx, url_val in enumerate(url_detonation_param_list) if url_val == url_input]\n        index_url_dict[url_input] = url_input_index\n\n        for idx,(_url, _score, _display_score, _category) in enumerate(zip(url_detonation_param_list, url_detonation_verdict_list, url_detonation_threat_score_list, url_detonation_category_list)):\n            if _url == url_input and idx in index_url_dict[url_input]:\n                url_list.append(_url)\n                score_list.append(_score)\n                display_score_list.append(_display_score)\n                category_list.append(_category)\n                \n    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation\n        #phantom.debug(\"score_list: {} len: {}\".format(score_list, len(score_list)))\n        #phantom.debug(\"category_list: {} len: {}\".format(category_list, len(category_list)))\n        confidence_ = list(set(display_score_list))[0]\n        categories = list(set(category_list))\n        \n        score = \"\"\n        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == \"\"):\n            if confidence_ >= 0 and confidence_ < 10:\n                          score_id = 0\n            elif confidence_ >= 10 and confidence_ < 20:\n                          score_id = 1\n            elif confidence_ >= 20 and confidence_ < 30:\n                          score_id = 2\n            elif confidence_ >= 30 and confidence_ < 40:\n                          score_id = 3\n            elif confidence_ >= 40 and confidence_ < 50:\n                          score_id = 4\n            elif confidence_ >= 50 and confidence_ < 60:\n                          score_id = 5\n            elif confidence_ >= 60 and confidence_ < 70:\n                          score_id = 6\n            elif confidence_ >= 70 and confidence_ < 80:\n                          score_id = 7\n            elif confidence_ >= 80 and confidence_ < 90:\n                          score_id = 8\n            elif confidence_ >= 90 and confidence_ < 100:\n                          score_id = 9\n            elif confidence_ >= 100:\n                          score_id = 10\n            #score = score_table[str(score_id)]\n        else:\n            score_id = round(confidence_/ 10)\n        \n        score = score_table[str(score_id)]\n        \n        # Attach final object\n        normalized_url_forensic_output__url_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})\n        normalized_url_forensic_output__scores.append(score)\n        normalized_url_forensic_output__categories.append(\", \".join(categories))\n        normalized_url_forensic_output__score_id.append(score_id)\n        #phantom.debug(\"normalized_job_forensic_report_output__url_score_object: {}\".format(normalized_url_forensic_output__url_score_object))\n        #phantom.debug(\"normalized_job_forensic_report_output__categories: {}\".format(normalized_job_forensic_report_output__categories))\n        #phantom.debug(\"normalized_job_forensic_report_output__confidence: {}\".format(normalized_job_forensic_report_output__confidence))\n\n",
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_url_forensic_output__url_score_object = []\n    normalized_url_forensic_output__scores = []\n    normalized_url_forensic_output__categories = []\n    normalized_url_forensic_output__score_id = []\n    normalized_url_forensic_output__url = []\n    normalized_url_forensic_output__job_id = []\n\n    ## pair forensic job results with url detonated\n    job_url_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_url, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_url_dict[filtered_job] = orig_url\n    \n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = score_num/10 if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        url = job_url_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        # Attach final object\n        normalized_url_forensic_output__url_score_object.append({'value': url, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_url_forensic_output__scores.append(score)\n        normalized_url_forensic_output__categories.append(\", \".join(categories))\n        normalized_url_forensic_output__score_id.append(score_id)\n        normalized_url_forensic_output__url.append(url)\n        normalized_url_forensic_output__job_id.append(job)\n\n",
                     "warnings": {},
                     "x": 0,
                     "y": 1260
@@ -807,7 +800,7 @@
         "schema": "5.0.9",
         "version": "6.0.0.114895"
     },
-    "create_time": "2023-04-13T14:39:45.850050+00:00",
+    "create_time": "2023-04-29T01:07:14.801171+00:00",
     "draft_mode": false,
     "labels": [
         "*"
diff --git a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
index 4aa3de9054..a4d8bb866b 100644
--- a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
@@ -83,7 +83,7 @@ def url_detonation(action=None, success=None, container=None, results=None, hand
     ## Custom Code End
     ################################################################################
 
-    phantom.act("detonate url", parameters=parameters, name="url_detonation", assets=["saa"], callback=url_detonation_status_filter_1)
+    phantom.act("detonate url", parameters=parameters, name="url_detonation", assets=["splunk_attack_analyzer"], callback=url_status_filter)
 
     return
 
@@ -122,16 +122,16 @@ def get_url_forensics_output(action=None, success=None, container=None, results=
     # to be detonated.
     ################################################################################
 
-    url_detonation_result_data = phantom.collect2(container=container, datapath=["url_detonation:action_result.data.*.JobID","url_detonation:action_result.parameter.context.artifact_id"], action_results=results)
+    filtered_result_0_data_url_status_filter = phantom.collect2(container=container, datapath=["filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID"])
 
     parameters = []
 
     # build parameters list for 'get_url_forensics_output' call
-    for url_detonation_result_item in url_detonation_result_data:
-        if url_detonation_result_item[0] is not None:
+    for filtered_result_0_item_url_status_filter in filtered_result_0_data_url_status_filter:
+        if filtered_result_0_item_url_status_filter[0] is not None:
             parameters.append({
-                "job_id": url_detonation_result_item[0],
-                "context": {'artifact_id': url_detonation_result_item[1]},
+                "job_id": filtered_result_0_item_url_status_filter[0],
+                "timeout": 5,
             })
 
     ################################################################################
@@ -152,9 +152,7 @@ def get_url_forensics_output(action=None, success=None, container=None, results=
     ## Custom Code End
     ################################################################################
 
-    # calculate start time using delay of 2 minutes
-    start_time = datetime.now() + timedelta(minutes=2)
-    phantom.act("get job forensics", parameters=parameters, name="get_url_forensics_output", start_time=start_time, assets=["saa"], callback=get_jobid_forensic_filter)
+    phantom.act("get job forensics", parameters=parameters, name="get_url_forensics_output", assets=["splunk_attack_analyzer"], callback=get_jobid_forensic_filter)
 
     return
 
@@ -164,7 +162,7 @@ def get_jobid_forensic_filter(action=None, success=None, container=None, results
     phantom.debug("get_jobid_forensic_filter() called")
 
     ################################################################################
-    # Filters successful url or file detonation job forensic results.
+    # Filters successful url detonation job forensic results.
     ################################################################################
 
     # collect filtered artifact ids and results for 'if' condition 1
@@ -191,17 +189,21 @@ def normalized_url_forensic_output(action=None, success=None, container=None, re
     # in the documented sections.
     ################################################################################
 
-    get_url_forensics_output_result_data = phantom.collect2(container=container, datapath=["get_url_forensics_output:action_result.data.*.URLs.*.URL","get_url_forensics_output:action_result.data.*.DisplayScore","get_url_forensics_output:action_result.data.*.Detections.*.Description","get_url_forensics_output:action_result.data.*.Verdict"], action_results=results)
+    filtered_result_0_data_url_status_filter = phantom.collect2(container=container, datapath=["filtered-data:url_status_filter:condition_1:url_detonation:action_result.parameter.url","filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID"])
+    filtered_result_1_data_get_jobid_forensic_filter = phantom.collect2(container=container, datapath=["filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.parameter.job_id","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Score","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Detections"])
 
-    get_url_forensics_output_result_item_0 = [item[0] for item in get_url_forensics_output_result_data]
-    get_url_forensics_output_result_item_1 = [item[1] for item in get_url_forensics_output_result_data]
-    get_url_forensics_output_result_item_2 = [item[2] for item in get_url_forensics_output_result_data]
-    get_url_forensics_output_result_item_3 = [item[3] for item in get_url_forensics_output_result_data]
+    filtered_result_0_parameter_url = [item[0] for item in filtered_result_0_data_url_status_filter]
+    filtered_result_0_data___jobid = [item[1] for item in filtered_result_0_data_url_status_filter]
+    filtered_result_1_parameter_job_id = [item[0] for item in filtered_result_1_data_get_jobid_forensic_filter]
+    filtered_result_1_data___score = [item[1] for item in filtered_result_1_data_get_jobid_forensic_filter]
+    filtered_result_1_data___detections = [item[2] for item in filtered_result_1_data_get_jobid_forensic_filter]
 
     normalized_url_forensic_output__url_score_object = None
     normalized_url_forensic_output__scores = None
     normalized_url_forensic_output__categories = None
     normalized_url_forensic_output__score_id = None
+    normalized_url_forensic_output__url = None
+    normalized_url_forensic_output__job_id = None
 
     ################################################################################
     ## Custom Code Start
@@ -222,90 +224,35 @@ def normalized_url_forensic_output(action=None, success=None, container=None, re
         "9":"Probably_Malicious",
         "10":"Malicious"
     }
-    #phantom.debug("url: {}".format(ssa_get_job_forensics_output_result_item_0))
-    #phantom.debug("DisplayScore: {}".format(ssa_get_job_forensics_output_result_item_1))
-    #phantom.debug("Category: {}".format(ssa_get_job_forensics_output_result_item_2))
-    #phantom.debug("verdict: {}".format(ssa_get_job_forensics_output_result_item_3))
-    #phantom.debug("action_data: {}".format(ssa_get_job_forensics_output_result_item_4))
-    #phantom.debug(get_url_forensics_output_result_item_4)
     
     normalized_url_forensic_output__url_score_object = []
     normalized_url_forensic_output__scores = []
     normalized_url_forensic_output__categories = []
     normalized_url_forensic_output__score_id = []
-    
-    ## normalized NoneType value to avoid enumeration failure
-    url_detonation_param_list =  [(i or "") for i in get_url_forensics_output_result_item_0] 
-    url_detonation_threat_score_list = [(i or 0) for i in get_url_forensics_output_result_item_1] 
-    url_detonation_category_list = [(i or "") for i in get_url_forensics_output_result_item_2] 
-    url_detonation_verdict_list = [(i or "") for i in get_url_forensics_output_result_item_3] 
-    
-    ## get the set() or unique input url parameter.
-    
-    index_url_dict = {}
-    set_url_inputs = set(url_detonation_param_list)
-    
-    for url_input in set_url_inputs:
-        url_list = []
-        score_list = []
-        display_score_list = []
-        category_list = []
-        
-        ## getting the index of each detonation phase of the url group the result for each url detonation
-        url_input_index = [indx for indx, url_val in enumerate(url_detonation_param_list) if url_val == url_input]
-        index_url_dict[url_input] = url_input_index
+    normalized_url_forensic_output__url = []
+    normalized_url_forensic_output__job_id = []
 
-        for idx,(_url, _score, _display_score, _category) in enumerate(zip(url_detonation_param_list, url_detonation_verdict_list, url_detonation_threat_score_list, url_detonation_category_list)):
-            if _url == url_input and idx in index_url_dict[url_input]:
-                url_list.append(_url)
-                score_list.append(_score)
-                display_score_list.append(_display_score)
-                category_list.append(_category)
-                
-    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation
-        #phantom.debug("score_list: {} len: {}".format(score_list, len(score_list)))
-        #phantom.debug("category_list: {} len: {}".format(category_list, len(category_list)))
-        confidence_ = list(set(display_score_list))[0]
-        categories = list(set(category_list))
-        
-        score = ""
-        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == ""):
-            if confidence_ >= 0 and confidence_ < 10:
-                          score_id = 0
-            elif confidence_ >= 10 and confidence_ < 20:
-                          score_id = 1
-            elif confidence_ >= 20 and confidence_ < 30:
-                          score_id = 2
-            elif confidence_ >= 30 and confidence_ < 40:
-                          score_id = 3
-            elif confidence_ >= 40 and confidence_ < 50:
-                          score_id = 4
-            elif confidence_ >= 50 and confidence_ < 60:
-                          score_id = 5
-            elif confidence_ >= 60 and confidence_ < 70:
-                          score_id = 6
-            elif confidence_ >= 70 and confidence_ < 80:
-                          score_id = 7
-            elif confidence_ >= 80 and confidence_ < 90:
-                          score_id = 8
-            elif confidence_ >= 90 and confidence_ < 100:
-                          score_id = 9
-            elif confidence_ >= 100:
-                          score_id = 10
-            #score = score_table[str(score_id)]
-        else:
-            score_id = round(confidence_/ 10)
+    ## pair forensic job results with url detonated
+    job_url_dict = {}
+    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_url, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):
+        if orig_job == filtered_job:
+            job_url_dict[filtered_job] = orig_url
+    
+    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):
         
+        ## translate scores
+        score_id = score_num/10 if score_num > 0 else 0
         score = score_table[str(score_id)]
+        url = job_url_dict[job]
+        categories = [item.get('Description') for item in detections]
         
         # Attach final object
-        normalized_url_forensic_output__url_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})
+        normalized_url_forensic_output__url_score_object.append({'value': url, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})
         normalized_url_forensic_output__scores.append(score)
         normalized_url_forensic_output__categories.append(", ".join(categories))
         normalized_url_forensic_output__score_id.append(score_id)
-        #phantom.debug("normalized_job_forensic_report_output__url_score_object: {}".format(normalized_url_forensic_output__url_score_object))
-        #phantom.debug("normalized_job_forensic_report_output__categories: {}".format(normalized_job_forensic_report_output__categories))
-        #phantom.debug("normalized_job_forensic_report_output__confidence: {}".format(normalized_job_forensic_report_output__confidence))
+        normalized_url_forensic_output__url.append(url)
+        normalized_url_forensic_output__job_id.append(job)
 
     ################################################################################
     ## Custom Code End
@@ -315,6 +262,8 @@ def normalized_url_forensic_output(action=None, success=None, container=None, re
     phantom.save_run_data(key="normalized_url_forensic_output:scores", value=json.dumps(normalized_url_forensic_output__scores))
     phantom.save_run_data(key="normalized_url_forensic_output:categories", value=json.dumps(normalized_url_forensic_output__categories))
     phantom.save_run_data(key="normalized_url_forensic_output:score_id", value=json.dumps(normalized_url_forensic_output__score_id))
+    phantom.save_run_data(key="normalized_url_forensic_output:url", value=json.dumps(normalized_url_forensic_output__url))
+    phantom.save_run_data(key="normalized_url_forensic_output:job_id", value=json.dumps(normalized_url_forensic_output__job_id))
 
     format_url_report(container=container)
 
@@ -329,15 +278,15 @@ def format_url_report(action=None, success=None, container=None, results=None, h
     # Format a summary table with the information gathered from the playbook.
     ################################################################################
 
-    template = """SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
+    template = """SOAR analyzed URL(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| URL | Normalized Score | Score Id | Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} | https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
 
     # parameter list for template variable replacement
     parameters = [
-        "playbook_input:url",
+        "normalized_url_forensic_output:custom_function:url",
         "normalized_url_forensic_output:custom_function:scores",
         "normalized_url_forensic_output:custom_function:score_id",
         "normalized_url_forensic_output:custom_function:categories",
-        "url_detonation:action_result.data.*.JobID"
+        "normalized_url_forensic_output:custom_function:job_id"
     ]
 
     ################################################################################
@@ -366,13 +315,10 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
     # the observables data path.
     ################################################################################
 
-    playbook_input_url = phantom.collect2(container=container, datapath=["playbook_input:url"])
-    url_detonation_result_data = phantom.collect2(container=container, datapath=["url_detonation:action_result.data.*.JobID"], action_results=results)
+    normalized_url_forensic_output__url = json.loads(_ if (_ := phantom.get_run_data(key="normalized_url_forensic_output:url")) != "" else "null")  # pylint: disable=used-before-assignment
+    normalized_url_forensic_output__job_id = json.loads(_ if (_ := phantom.get_run_data(key="normalized_url_forensic_output:job_id")) != "" else "null")  # pylint: disable=used-before-assignment
     normalized_url_forensic_output__url_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_url_forensic_output:url_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
 
-    playbook_input_url_values = [item[0] for item in playbook_input_url]
-    url_detonation_result_item_0 = [item[0] for item in url_detonation_result_data]
-
     build_url_output__observable_array = None
 
     ################################################################################
@@ -386,7 +332,7 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
     # Build URL
 
         
-    for url, external_id, url_object in zip(playbook_input_url_values, url_detonation_result_item_0, normalized_url_forensic_output__url_score_object):
+    for url, external_id, url_object in zip(normalized_url_forensic_output__url, normalized_url_forensic_output__job_id, normalized_url_forensic_output__url_score_object):
         parsed_url = urlparse(url)
         #phantom.debug("url: {} jobs_id:{}".format(url, external_id))
         #phantom.debug("parsed_url: {}, url_object: {}".format(parsed_url, url_object))
@@ -394,16 +340,17 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
                 "value": url,
                 "type": "url",
                 "reputation": {
+                    "base_score": url_object['base_score'],
                     "score": url_object['score'],
                     "score_id": url_object['score_id'],
-                    "confidence": url_object['confidence']
+                    "confidence": url_object['score_id'] #Attack Analyzer's score has confidence baked in.
                 },
                 "attributes": {
                     "hostname": parsed_url.hostname,
                     "scheme": parsed_url.scheme
                 },
                 "categories": url_object['categories'],
-                "source": "Splunk Attack Analyzer (SAA)",
+                "source": "Splunk Attack Analyzer",
                 "source_link": f"https://app.twinwave.io/job/{external_id}"
             }
 
@@ -456,9 +403,7 @@ def file_detonation(action=None, success=None, container=None, results=None, han
     ## Custom Code End
     ################################################################################
 
-    # calculate start time using delay of 2 minutes
-    start_time = datetime.now() + timedelta(minutes=2)
-    phantom.act("detonate file", parameters=parameters, name="file_detonation", start_time=start_time, assets=["saa"], callback=file_detonation_status_filter)
+    phantom.act("detonate file", parameters=parameters, name="file_detonation", assets=["splunk_attack_analyzer"], callback=file_detonation_status_filter)
 
     return
 
@@ -474,16 +419,16 @@ def get_file_forensics_output(action=None, success=None, container=None, results
     # to be detonated.
     ################################################################################
 
-    file_detonation_result_data = phantom.collect2(container=container, datapath=["file_detonation:action_result.data.*.JobID","file_detonation:action_result.parameter.context.artifact_id"], action_results=results)
+    filtered_result_0_data_file_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
 
     parameters = []
 
     # build parameters list for 'get_file_forensics_output' call
-    for file_detonation_result_item in file_detonation_result_data:
-        if file_detonation_result_item[0] is not None:
+    for filtered_result_0_item_file_detonation_status_filter in filtered_result_0_data_file_detonation_status_filter:
+        if filtered_result_0_item_file_detonation_status_filter[0] is not None:
             parameters.append({
-                "job_id": file_detonation_result_item[0],
-                "context": {'artifact_id': file_detonation_result_item[1]},
+                "job_id": filtered_result_0_item_file_detonation_status_filter[0],
+                "timeout": 10,
             })
 
     ################################################################################
@@ -504,9 +449,7 @@ def get_file_forensics_output(action=None, success=None, container=None, results
     ## Custom Code End
     ################################################################################
 
-    # calculate start time using delay of 2 minutes
-    start_time = datetime.now() + timedelta(minutes=2)
-    phantom.act("get job forensics", parameters=parameters, name="get_file_forensics_output", start_time=start_time, assets=["saa"], callback=filter_6)
+    phantom.act("get job forensics", parameters=parameters, name="get_file_forensics_output", assets=["splunk_attack_analyzer"], callback=file_forensics_filter)
 
     return
 
@@ -520,18 +463,21 @@ def normalized_file_forensic_output(action=None, success=None, container=None, r
     # in the documented sections.
     ################################################################################
 
-    playbook_input_vault_id = phantom.collect2(container=container, datapath=["playbook_input:vault_id"])
-    get_file_forensics_output_result_data = phantom.collect2(container=container, datapath=["get_file_forensics_output:action_result.data.*.DisplayScore","get_file_forensics_output:action_result.data.*.Detections.*.Description","get_file_forensics_output:action_result.data.*.Verdict"], action_results=results)
+    filtered_result_0_data_file_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.parameter.file","filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
+    filtered_result_1_data_file_forensics_filter = phantom.collect2(container=container, datapath=["filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.parameter.job_id","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Score","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Detections"])
 
-    playbook_input_vault_id_values = [item[0] for item in playbook_input_vault_id]
-    get_file_forensics_output_result_item_0 = [item[0] for item in get_file_forensics_output_result_data]
-    get_file_forensics_output_result_item_1 = [item[1] for item in get_file_forensics_output_result_data]
-    get_file_forensics_output_result_item_2 = [item[2] for item in get_file_forensics_output_result_data]
+    filtered_result_0_parameter_file = [item[0] for item in filtered_result_0_data_file_detonation_status_filter]
+    filtered_result_0_data___jobid = [item[1] for item in filtered_result_0_data_file_detonation_status_filter]
+    filtered_result_1_parameter_job_id = [item[0] for item in filtered_result_1_data_file_forensics_filter]
+    filtered_result_1_data___score = [item[1] for item in filtered_result_1_data_file_forensics_filter]
+    filtered_result_1_data___detections = [item[2] for item in filtered_result_1_data_file_forensics_filter]
 
     normalized_file_forensic_output__file_score_object = None
     normalized_file_forensic_output__scores = None
     normalized_file_forensic_output__categories = None
     normalized_file_forensic_output__score_id = None
+    normalized_file_forensic_output__file = None
+    normalized_file_forensic_output__job_id = None
 
     ################################################################################
     ## Custom Code Start
@@ -552,91 +498,35 @@ def normalized_file_forensic_output(action=None, success=None, container=None, r
         "9":"Probably_Malicious",
         "10":"Malicious"
     }
-    #phantom.debug("vault_id: {}".format(ssa_get_job_forensics_output_result_item_0))
-    #phantom.debug("DisplayScore: {}".format(ssa_get_job_forensics_output_result_item_1))
-    #phantom.debug("Category: {}".format(ssa_get_job_forensics_output_result_item_2))
-    #phantom.debug("verdict: {}".format(ssa_get_job_forensics_output_result_item_3))
-    #phantom.debug("action_data: {}".format(ssa_get_job_forensics_output_result_item_4))
-    #phantom.debug(get_file_forensics_output_result_item_3)
     
     normalized_file_forensic_output__file_score_object = []
     normalized_file_forensic_output__scores = []
     normalized_file_forensic_output__categories = []
     normalized_file_forensic_output__score_id = []
+    normalized_file_forensic_output__file = []
+    normalized_file_forensic_output__job_id = []
     
-    ## normalized NoneType value to avoid enumeration failure
-    file_detonation_param_list =  [(i or "") for i in playbook_input_vault_id_values] 
-    file_detonation_threat_score_list = [(i or 0) for i in get_file_forensics_output_result_item_0] 
-    file_detonation_category_list = [(i or "") for i in get_file_forensics_output_result_item_1] 
-    file_detonation_verdict_list = [(i or "") for i in get_file_forensics_output_result_item_2] 
-    
-    ## get the set() or unique input url parameter.
-    
-    index_file_dict = {}
-    set_file_inputs = set(file_detonation_param_list)
-    
-    for file_input in set_file_inputs:
-        vaultid_list = []
-        score_list = []
-        display_score_list = []
-        category_list = []
-        
-        ## getting the index of each detonation phase of the url group the result for each url detonation
-        file_input_index = [indx for indx, vaultid_val in enumerate(file_detonation_param_list) if vaultid_val == file_input]
-        index_file_dict[file_input] = file_input_index
-        
-        for idx,(_vaultid, _score, _display_score, _category) in enumerate(zip(file_detonation_param_list, file_detonation_verdict_list, file_detonation_threat_score_list, file_detonation_category_list)):
-            if _vaultid == file_input and idx in index_file_dict[file_input]:
-                vaultid_list.append(_vaultid)
-                score_list.append(_score)
-                display_score_list.append(_display_score)
-                category_list.append(_category)
-                
-    ## if score_list is empty or it has one element but empty string, lets score it base on confidence score of its engine detonation
-        #phantom.debug("score_list: {} len: {}".format(score_list, len(score_list)))
-        #phantom.debug("category_list: {} len: {}".format(category_list, len(category_list)))
-        confidence_ = list(set(display_score_list))[0]
-        categories = list(set(category_list))
-        #score_ = list(set(score_list))[0]
-        
-        score = ""
-        if len(score_list) == 0 or (len(set(score_list)) == 1 and score_list[0] == ""):
-            if confidence_ >= 0 and confidence_ < 10:
-                          score_id = 0
-            elif confidence_ >= 10 and confidence_ < 20:
-                          score_id = 1
-            elif confidence_ >= 20 and confidence_ < 30:
-                          score_id = 2
-            elif confidence_ >= 30 and confidence_ < 40:
-                          score_id = 3
-            elif confidence_ >= 40 and confidence_ < 50:
-                          score_id = 4
-            elif confidence_ >= 50 and confidence_ < 60:
-                          score_id = 5
-            elif confidence_ >= 60 and confidence_ < 70:
-                          score_id = 6
-            elif confidence_ >= 70 and confidence_ < 80:
-                          score_id = 7
-            elif confidence_ >= 80 and confidence_ < 90:
-                          score_id = 8
-            elif confidence_ >= 90 and confidence_ < 100:
-                          score_id = 9
-            elif confidence_ >= 100:
-                          score_id = 10
-            
-        else:
-            score_id = round(confidence_/ 10)
+    ## pair forensic job results with url detonated
+    job_file_dict = {}
+    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_file, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):
+        if orig_job == filtered_job:
+            job_file_dict[filtered_job] = orig_url
+
+    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):
         
+        ## translate scores
+        score_id = score_num/10 if score_num > 0 else 0
         score = score_table[str(score_id)]
-        #phantom.debug("score: {} score_id {}".format(score, score_id))
-        # Attach final object
-        normalized_file_forensic_output__file_score_object.append({'score': score, 'score_id': score_id, 'confidence': confidence_, 'categories': categories})
+        file = job_file_dict[job]
+        categories = [item.get('Description') for item in detections]
+        
+        normalized_file_forensic_output__file_score_object.append({'value': file, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})
         normalized_file_forensic_output__scores.append(score)
         normalized_file_forensic_output__categories.append(", ".join(categories))
         normalized_file_forensic_output__score_id.append(score_id)
-        #phantom.debug("normalized_job_forensic_report_output_1__file_score_object: {}".format(normalized_job_forensic_report_output_1__file_score_object))
-        #phantom.debug("normalized_job_forensic_report_output_1__scores: {}".format(normalized_job_forensic_report_output_1__scores))
-        #phantom.debug("normalized_job_forensic_report_output_1__categories: {}".format(normalized_job_forensic_report_output_1__categories))
+        normalized_file_forensic_output__file.append(file)
+        normalized_file_forensic_output__job_id.append(job)
+        
     ################################################################################
     ## Custom Code End
     ################################################################################
@@ -645,6 +535,8 @@ def normalized_file_forensic_output(action=None, success=None, container=None, r
     phantom.save_run_data(key="normalized_file_forensic_output:scores", value=json.dumps(normalized_file_forensic_output__scores))
     phantom.save_run_data(key="normalized_file_forensic_output:categories", value=json.dumps(normalized_file_forensic_output__categories))
     phantom.save_run_data(key="normalized_file_forensic_output:score_id", value=json.dumps(normalized_file_forensic_output__score_id))
+    phantom.save_run_data(key="normalized_file_forensic_output:file", value=json.dumps(normalized_file_forensic_output__file))
+    phantom.save_run_data(key="normalized_file_forensic_output:job_id", value=json.dumps(normalized_file_forensic_output__job_id))
 
     format_file_report(container=container)
 
@@ -659,15 +551,15 @@ def format_file_report(action=None, success=None, container=None, results=None,
     # Format a summary table with the information gathered from the playbook.
     ################################################################################
 
-    template = """SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| vault_id | Normalized Score | score id |Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} |https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
+    template = """SOAR analyzed File(s) using Splunk Attack Analyzer.  The table below shows a summary of the information gathered.\n\n| Vauld Id | Normalized Score | Score Id | Categories | Report Link | Source |\n| --- | --- | --- | --- | --- | --- |\n%%\n| `{0}` | {1} | {2} | {3} | https://app.twinwave.io/job/{4} | Splunk Attack Analyzer (SAA) |\n%%\n\n\n"""
 
     # parameter list for template variable replacement
     parameters = [
-        "playbook_input:vault_id",
-        "normalized_file_forensic_output:custom_function:scores",
+        "normalized_file_forensic_output:custom_function:file",
+        "normalized_file_forensic_output:custom_function:score",
         "normalized_file_forensic_output:custom_function:score_id",
         "normalized_file_forensic_output:custom_function:categories",
-        "file_detonation:action_result.data.*.JobID"
+        "normalized_file_forensic_output:custom_function:job_id"
     ]
 
     ################################################################################
@@ -696,13 +588,10 @@ def build_file_output(action=None, success=None, container=None, results=None, h
     # the observables data path.
     ################################################################################
 
-    playbook_input_vault_id = phantom.collect2(container=container, datapath=["playbook_input:vault_id"])
-    file_detonation_result_data = phantom.collect2(container=container, datapath=["file_detonation:action_result.data.*.JobID"], action_results=results)
+    normalized_file_forensic_output__file = json.loads(_ if (_ := phantom.get_run_data(key="normalized_file_forensic_output:file")) != "" else "null")  # pylint: disable=used-before-assignment
+    normalized_file_forensic_output__job_id = json.loads(_ if (_ := phantom.get_run_data(key="normalized_file_forensic_output:job_id")) != "" else "null")  # pylint: disable=used-before-assignment
     normalized_file_forensic_output__file_score_object = json.loads(_ if (_ := phantom.get_run_data(key="normalized_file_forensic_output:file_score_object")) != "" else "null")  # pylint: disable=used-before-assignment
 
-    playbook_input_vault_id_values = [item[0] for item in playbook_input_vault_id]
-    file_detonation_result_item_0 = [item[0] for item in file_detonation_result_data]
-
     build_file_output__observable_array = None
 
     ################################################################################
@@ -712,17 +601,18 @@ def build_file_output(action=None, success=None, container=None, results=None, h
     # Write your custom code here...
     build_file_output__observable_array = []
 
-    for _vault_id, external_id, file_object in zip(playbook_input_vault_id_values, file_detonation_result_item_0, normalized_file_forensic_output__file_score_object):
+    for _vault_id, external_id, file_object in zip(normalized_file_forensic_output__file, normalized_file_forensic_output__job_id, normalized_file_forensic_output__file_score_object):
         #phantom.debug("vault: {} id: {}".format(_vault_id, external_id))
         observable_object = {
 
                 "value": _vault_id,
                 "type": "hash",
                 "reputation": {
+                    "base_score": file_object['base_score'],
                     "score": file_object['score'],
                     "score_id": file_object['score_id'],
                     "confidence": file_object['confidence'],
-
+                    "confidence": file_object['score_id'] #Attack Analyzer's score has confidence baked in.
                 },
                 "enrichment": {
                     "provider": "Splunk Attack Analyzer",
@@ -730,11 +620,11 @@ def build_file_output(action=None, success=None, container=None, results=None, h
 
                 },
                 "categories": file_object['categories'],
-                "source": "Splunk Attack Analyzer (SAA)",
+                "source": "Splunk Attack Analyzer",
                 "source_link":f"https://app.twinwave.io/job/{external_id}"
             }
         build_file_output__observable_array.append(observable_object)
-        #phantom.debug("build_file_output__observable_array: {}".format(build_file_output__observable_array))
+    
     ################################################################################
     ## Custom Code End
     ################################################################################
@@ -745,8 +635,8 @@ def build_file_output(action=None, success=None, container=None, results=None, h
 
 
 @phantom.playbook_block()
-def url_detonation_status_filter_1(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("url_detonation_status_filter_1() called")
+def url_status_filter(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("url_status_filter() called")
 
     ################################################################################
     # Filters url detonation results.
@@ -758,7 +648,7 @@ def url_detonation_status_filter_1(action=None, success=None, container=None, re
         conditions=[
             ["url_detonation:action_result.status", "==", "success"]
         ],
-        name="url_detonation_status_filter_1:condition_1")
+        name="url_status_filter:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
@@ -768,8 +658,12 @@ def url_detonation_status_filter_1(action=None, success=None, container=None, re
 
 
 @phantom.playbook_block()
-def filter_6(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("filter_6() called")
+def file_forensics_filter(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("file_forensics_filter() called")
+
+    ################################################################################
+    # Filters successful file detonation job forensic results.
+    ################################################################################
 
     # collect filtered artifact ids and results for 'if' condition 1
     matched_artifacts_1, matched_results_1 = phantom.condition(
@@ -777,7 +671,7 @@ def filter_6(action=None, success=None, container=None, results=None, handle=Non
         conditions=[
             ["get_file_forensics_output:action_result.status", "==", "success"]
         ],
-        name="filter_6:condition_1")
+        name="file_forensics_filter:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:

From a0ad583a553f34f0480d5f1921afc6453fa700e6 Mon Sep 17 00:00:00 2001
From: Kelby Shelton <kelbys@splunk.com>
Date: Fri, 28 Apr 2023 20:29:24 -0500
Subject: [PATCH 3/3] Fixed bug with scoring and changed categories to
 classifications

---
 ...lunk_Attack_Analyzer_Dynamic_Analysis.json | 26 +++++-----
 ...Splunk_Attack_Analyzer_Dynamic_Analysis.py | 52 ++++++++-----------
 2 files changed, 36 insertions(+), 42 deletions(-)

diff --git a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
index 107384ef88..83bccbcefe 100644
--- a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.json
@@ -156,7 +156,7 @@
                     "targetPort": "15_in"
                 }
             ],
-            "hash": "97d3aa1e96d0ec556004151086384b4841477f03",
+            "hash": "d3278e0db9a8761705897f1307e410d32a715c77",
             "nodes": {
                 "0": {
                     "data": {
@@ -246,7 +246,7 @@
                     "errors": {},
                     "id": "11",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n\n        \n    for url, external_id, url_object in zip(normalized_url_forensic_output__url, normalized_url_forensic_output__job_id, normalized_url_forensic_output__url_score_object):\n        parsed_url = urlparse(url)\n        #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n        #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n        observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"base_score\": url_object['base_score'],\n                    \"score\": url_object['score'],\n                    \"score_id\": url_object['score_id'],\n                    \"confidence\": url_object['score_id'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"categories\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n        if parsed_url.path:\n            observable_object['attributes']['path'] = parsed_url.path\n        if parsed_url.query:\n            observable_object['attributes']['query'] = parsed_url.query\n        if parsed_url.port:\n            observable_object['attributes']['port'] = parsed_url.port\n\n        build_url_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
+                    "userCode": "\n    # Write your custom code here...\n    from urllib.parse import urlparse\n    build_url_output__observable_array = []\n    #phantom.debug(playbook_input_url_values)\n    # Build URL\n\n        \n    for url, external_id, url_object in zip(normalized_url_forensic_output__url, normalized_url_forensic_output__job_id, normalized_url_forensic_output__url_score_object):\n        parsed_url = urlparse(url)\n        #phantom.debug(\"url: {} jobs_id:{}\".format(url, external_id))\n        #phantom.debug(\"parsed_url: {}, url_object: {}\".format(parsed_url, url_object))\n        observable_object = {\n                \"value\": url,\n                \"type\": \"url\",\n                \"reputation\": {\n                    \"base_score\": url_object['base_score'],\n                    \"score\": url_object['score'],\n                    \"score_id\": url_object['score_id'],\n                    \"confidence\": url_object['base_score'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"attributes\": {\n                    \"hostname\": parsed_url.hostname,\n                    \"scheme\": parsed_url.scheme\n                },\n                \"classifications\": url_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\": f\"https://app.twinwave.io/job/{external_id}\"\n            }\n\n        if parsed_url.path:\n            observable_object['attributes']['path'] = parsed_url.path\n        if parsed_url.query:\n            observable_object['attributes']['query'] = parsed_url.query\n        if parsed_url.port:\n            observable_object['attributes']['port'] = parsed_url.port\n\n        build_url_output__observable_array.append(observable_object)\n        #phantom.debug(\"build_url_output__observable_array: {}\".format(build_url_output__observable_array))\n",
                     "warnings": {},
                     "x": 0,
                     "y": 1620
@@ -316,7 +316,7 @@
                         "functionName": "get_file_forensics_output",
                         "id": "15",
                         "parameters": {
-                            "job_id": "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
+                            "job_id": "filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
                             "timeout": "10"
                         },
                         "requiredParameters": [
@@ -348,10 +348,10 @@
                         "functionName": "normalized_file_forensic_output",
                         "id": "17",
                         "inputParameters": [
-                            "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.parameter.file",
-                            "filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
+                            "filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.parameter.file",
+                            "filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID",
                             "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.parameter.job_id",
-                            "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Score",
+                            "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.DisplayScore",
                             "filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Detections"
                         ],
                         "outputVariables": [
@@ -367,7 +367,7 @@
                     "errors": {},
                     "id": "17",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_file_forensic_output__file_score_object = []\n    normalized_file_forensic_output__scores = []\n    normalized_file_forensic_output__categories = []\n    normalized_file_forensic_output__score_id = []\n    normalized_file_forensic_output__file = []\n    normalized_file_forensic_output__job_id = []\n    \n    ## pair forensic job results with url detonated\n    job_file_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_file, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_file_dict[filtered_job] = orig_url\n\n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = score_num/10 if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        file = job_file_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        normalized_file_forensic_output__file_score_object.append({'value': file, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_file_forensic_output__scores.append(score)\n        normalized_file_forensic_output__categories.append(\", \".join(categories))\n        normalized_file_forensic_output__score_id.append(score_id)\n        normalized_file_forensic_output__file.append(file)\n        normalized_file_forensic_output__job_id.append(job)\n        \n",
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_file_forensic_output__file_score_object = []\n    normalized_file_forensic_output__scores = []\n    normalized_file_forensic_output__categories = []\n    normalized_file_forensic_output__score_id = []\n    normalized_file_forensic_output__file = []\n    normalized_file_forensic_output__job_id = []\n    \n    ## pair forensic job results with url detonated\n    job_file_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_file, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_file_dict[filtered_job] = orig_url\n\n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___displayscore, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = int(score_num/10) if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        file = job_file_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        normalized_file_forensic_output__file_score_object.append({'value': file, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_file_forensic_output__scores.append(score)\n        normalized_file_forensic_output__categories.append(\", \".join(categories))\n        normalized_file_forensic_output__score_id.append(score_id)\n        normalized_file_forensic_output__file.append(file)\n        normalized_file_forensic_output__job_id.append(job)\n        \n",
                     "warnings": {},
                     "x": 340,
                     "y": 1260
@@ -427,7 +427,7 @@
                     "errors": {},
                     "id": "19",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n\n    for _vault_id, external_id, file_object in zip(normalized_file_forensic_output__file, normalized_file_forensic_output__job_id, normalized_file_forensic_output__file_score_object):\n        #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n        observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"base_score\": file_object['base_score'],\n                    \"score\": file_object['score'],\n                    \"score_id\": file_object['score_id'],\n                    \"confidence\": file_object['confidence'],\n                    \"confidence\": file_object['score_id'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"enrichment\": {\n                    \"provider\": \"Splunk Attack Analyzer\",\n                    \"type\": \"file\",\n\n                },\n                \"categories\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n        build_file_output__observable_array.append(observable_object)\n    \n",
+                    "userCode": "\n    # Write your custom code here...\n    build_file_output__observable_array = []\n\n    for _vault_id, external_id, file_object in zip(normalized_file_forensic_output__file, normalized_file_forensic_output__job_id, normalized_file_forensic_output__file_score_object):\n        #phantom.debug(\"vault: {} id: {}\".format(_vault_id, external_id))\n        observable_object = {\n\n                \"value\": _vault_id,\n                \"type\": \"hash\",\n                \"reputation\": {\n                    \"base_score\": file_object['base_score'],\n                    \"score\": file_object['score'],\n                    \"score_id\": file_object['score_id'],\n                    \"confidence\": file_object['base_score'] #Attack Analyzer's score has confidence baked in.\n                },\n                \"classifications\": file_object['categories'],\n                \"source\": \"Splunk Attack Analyzer\",\n                \"source_link\":f\"https://app.twinwave.io/job/{external_id}\"\n            }\n        build_file_output__observable_array.append(observable_object)\n    \n",
                     "warnings": {},
                     "x": 340,
                     "y": 1620
@@ -604,7 +604,7 @@
                 "4": {
                     "data": {
                         "advanced": {
-                            "customName": "file detonation status filter",
+                            "customName": "detonation status filter",
                             "customNameId": 0,
                             "description": "Filters successful file  detonation results.",
                             "join": [],
@@ -626,7 +626,7 @@
                             }
                         ],
                         "functionId": 2,
-                        "functionName": "file_detonation_status_filter",
+                        "functionName": "detonation_status_filter",
                         "id": "4",
                         "type": "filter"
                     },
@@ -731,7 +731,7 @@
                             "filtered-data:url_status_filter:condition_1:url_detonation:action_result.parameter.url",
                             "filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID",
                             "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.parameter.job_id",
-                            "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Score",
+                            "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.DisplayScore",
                             "filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Detections"
                         ],
                         "outputVariables": [
@@ -747,7 +747,7 @@
                     "errors": {},
                     "id": "8",
                     "type": "code",
-                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_url_forensic_output__url_score_object = []\n    normalized_url_forensic_output__scores = []\n    normalized_url_forensic_output__categories = []\n    normalized_url_forensic_output__score_id = []\n    normalized_url_forensic_output__url = []\n    normalized_url_forensic_output__job_id = []\n\n    ## pair forensic job results with url detonated\n    job_url_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_url, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_url_dict[filtered_job] = orig_url\n    \n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = score_num/10 if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        url = job_url_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        # Attach final object\n        normalized_url_forensic_output__url_score_object.append({'value': url, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_url_forensic_output__scores.append(score)\n        normalized_url_forensic_output__categories.append(\", \".join(categories))\n        normalized_url_forensic_output__score_id.append(score_id)\n        normalized_url_forensic_output__url.append(url)\n        normalized_url_forensic_output__job_id.append(job)\n\n",
+                    "userCode": "\n    # Write your custom code here...\n    score_id =0\n    score_table = {\n        \"0\":\"Unknown\",\n        \"1\":\"Very_Safe\",\n        \"2\":\"Safe\",\n        \"3\":\"Probably_Safe\",\n        \"4\":\"Leans_Safe\",\n        \"5\":\"May_not_be_Safe\",\n        \"6\":\"Exercise_Caution\",\n        \"7\":\"Suspicious_or_Risky\",\n        \"8\":\"Possibly_Malicious\",\n        \"9\":\"Probably_Malicious\",\n        \"10\":\"Malicious\"\n    }\n    \n    normalized_url_forensic_output__url_score_object = []\n    normalized_url_forensic_output__scores = []\n    normalized_url_forensic_output__categories = []\n    normalized_url_forensic_output__score_id = []\n    normalized_url_forensic_output__url = []\n    normalized_url_forensic_output__job_id = []\n\n    ## pair forensic job results with url detonated\n    job_url_dict = {}\n    for orig_url, orig_job, filtered_job in zip(filtered_result_0_parameter_url, filtered_result_0_data___jobid, filtered_result_1_parameter_job_id):\n        if orig_job == filtered_job:\n            job_url_dict[filtered_job] = orig_url\n    \n    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___displayscore, filtered_result_1_data___detections):\n        \n        ## translate scores\n        score_id = int(score_num/10) if score_num > 0 else 0\n        score = score_table[str(score_id)]\n        url = job_url_dict[job]\n        categories = [item.get('Description') for item in detections]\n        \n        # Attach final object\n        normalized_url_forensic_output__url_score_object.append({'value': url, 'base_score': score_num, 'score': score, 'score_id': score_id, 'categories': categories})\n        normalized_url_forensic_output__scores.append(score)\n        normalized_url_forensic_output__categories.append(\", \".join(categories))\n        normalized_url_forensic_output__score_id.append(score_id)\n        normalized_url_forensic_output__url.append(url)\n        normalized_url_forensic_output__job_id.append(job)\n\n",
                     "warnings": {},
                     "x": 0,
                     "y": 1260
@@ -800,7 +800,7 @@
         "schema": "5.0.9",
         "version": "6.0.0.114895"
     },
-    "create_time": "2023-04-29T01:07:14.801171+00:00",
+    "create_time": "2023-04-29T01:27:41.839151+00:00",
     "draft_mode": false,
     "labels": [
         "*"
diff --git a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
index a4d8bb866b..b0c7fbba89 100644
--- a/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
+++ b/playbooks/Splunk_Attack_Analyzer_Dynamic_Analysis.py
@@ -89,8 +89,8 @@ def url_detonation(action=None, success=None, container=None, results=None, hand
 
 
 @phantom.playbook_block()
-def file_detonation_status_filter(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
-    phantom.debug("file_detonation_status_filter() called")
+def detonation_status_filter(action=None, success=None, container=None, results=None, handle=None, filtered_artifacts=None, filtered_results=None, custom_function=None, **kwargs):
+    phantom.debug("detonation_status_filter() called")
 
     ################################################################################
     # Filters successful file  detonation results.
@@ -102,7 +102,7 @@ def file_detonation_status_filter(action=None, success=None, container=None, res
         conditions=[
             ["file_detonation:action_result.status", "==", "success"]
         ],
-        name="file_detonation_status_filter:condition_1")
+        name="detonation_status_filter:condition_1")
 
     # call connected blocks if filtered artifacts or results
     if matched_artifacts_1 or matched_results_1:
@@ -190,12 +190,12 @@ def normalized_url_forensic_output(action=None, success=None, container=None, re
     ################################################################################
 
     filtered_result_0_data_url_status_filter = phantom.collect2(container=container, datapath=["filtered-data:url_status_filter:condition_1:url_detonation:action_result.parameter.url","filtered-data:url_status_filter:condition_1:url_detonation:action_result.data.*.JobID"])
-    filtered_result_1_data_get_jobid_forensic_filter = phantom.collect2(container=container, datapath=["filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.parameter.job_id","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Score","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Detections"])
+    filtered_result_1_data_get_jobid_forensic_filter = phantom.collect2(container=container, datapath=["filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.parameter.job_id","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.DisplayScore","filtered-data:get_jobid_forensic_filter:condition_1:get_url_forensics_output:action_result.data.*.Detections"])
 
     filtered_result_0_parameter_url = [item[0] for item in filtered_result_0_data_url_status_filter]
     filtered_result_0_data___jobid = [item[1] for item in filtered_result_0_data_url_status_filter]
     filtered_result_1_parameter_job_id = [item[0] for item in filtered_result_1_data_get_jobid_forensic_filter]
-    filtered_result_1_data___score = [item[1] for item in filtered_result_1_data_get_jobid_forensic_filter]
+    filtered_result_1_data___displayscore = [item[1] for item in filtered_result_1_data_get_jobid_forensic_filter]
     filtered_result_1_data___detections = [item[2] for item in filtered_result_1_data_get_jobid_forensic_filter]
 
     normalized_url_forensic_output__url_score_object = None
@@ -238,10 +238,10 @@ def normalized_url_forensic_output(action=None, success=None, container=None, re
         if orig_job == filtered_job:
             job_url_dict[filtered_job] = orig_url
     
-    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):
+    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___displayscore, filtered_result_1_data___detections):
         
         ## translate scores
-        score_id = score_num/10 if score_num > 0 else 0
+        score_id = int(score_num/10) if score_num > 0 else 0
         score = score_table[str(score_id)]
         url = job_url_dict[job]
         categories = [item.get('Description') for item in detections]
@@ -343,13 +343,13 @@ def build_url_output(action=None, success=None, container=None, results=None, ha
                     "base_score": url_object['base_score'],
                     "score": url_object['score'],
                     "score_id": url_object['score_id'],
-                    "confidence": url_object['score_id'] #Attack Analyzer's score has confidence baked in.
+                    "confidence": url_object['base_score'] #Attack Analyzer's score has confidence baked in.
                 },
                 "attributes": {
                     "hostname": parsed_url.hostname,
                     "scheme": parsed_url.scheme
                 },
-                "categories": url_object['categories'],
+                "classifications": url_object['categories'],
                 "source": "Splunk Attack Analyzer",
                 "source_link": f"https://app.twinwave.io/job/{external_id}"
             }
@@ -403,7 +403,7 @@ def file_detonation(action=None, success=None, container=None, results=None, han
     ## Custom Code End
     ################################################################################
 
-    phantom.act("detonate file", parameters=parameters, name="file_detonation", assets=["splunk_attack_analyzer"], callback=file_detonation_status_filter)
+    phantom.act("detonate file", parameters=parameters, name="file_detonation", assets=["splunk_attack_analyzer"], callback=detonation_status_filter)
 
     return
 
@@ -419,15 +419,15 @@ def get_file_forensics_output(action=None, success=None, container=None, results
     # to be detonated.
     ################################################################################
 
-    filtered_result_0_data_file_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
+    filtered_result_0_data_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
 
     parameters = []
 
     # build parameters list for 'get_file_forensics_output' call
-    for filtered_result_0_item_file_detonation_status_filter in filtered_result_0_data_file_detonation_status_filter:
-        if filtered_result_0_item_file_detonation_status_filter[0] is not None:
+    for filtered_result_0_item_detonation_status_filter in filtered_result_0_data_detonation_status_filter:
+        if filtered_result_0_item_detonation_status_filter[0] is not None:
             parameters.append({
-                "job_id": filtered_result_0_item_file_detonation_status_filter[0],
+                "job_id": filtered_result_0_item_detonation_status_filter[0],
                 "timeout": 10,
             })
 
@@ -463,13 +463,13 @@ def normalized_file_forensic_output(action=None, success=None, container=None, r
     # in the documented sections.
     ################################################################################
 
-    filtered_result_0_data_file_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.parameter.file","filtered-data:file_detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
-    filtered_result_1_data_file_forensics_filter = phantom.collect2(container=container, datapath=["filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.parameter.job_id","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Score","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Detections"])
+    filtered_result_0_data_detonation_status_filter = phantom.collect2(container=container, datapath=["filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.parameter.file","filtered-data:detonation_status_filter:condition_1:file_detonation:action_result.data.*.JobID"])
+    filtered_result_1_data_file_forensics_filter = phantom.collect2(container=container, datapath=["filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.parameter.job_id","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.DisplayScore","filtered-data:file_forensics_filter:condition_1:get_file_forensics_output:action_result.data.*.Detections"])
 
-    filtered_result_0_parameter_file = [item[0] for item in filtered_result_0_data_file_detonation_status_filter]
-    filtered_result_0_data___jobid = [item[1] for item in filtered_result_0_data_file_detonation_status_filter]
+    filtered_result_0_parameter_file = [item[0] for item in filtered_result_0_data_detonation_status_filter]
+    filtered_result_0_data___jobid = [item[1] for item in filtered_result_0_data_detonation_status_filter]
     filtered_result_1_parameter_job_id = [item[0] for item in filtered_result_1_data_file_forensics_filter]
-    filtered_result_1_data___score = [item[1] for item in filtered_result_1_data_file_forensics_filter]
+    filtered_result_1_data___displayscore = [item[1] for item in filtered_result_1_data_file_forensics_filter]
     filtered_result_1_data___detections = [item[2] for item in filtered_result_1_data_file_forensics_filter]
 
     normalized_file_forensic_output__file_score_object = None
@@ -512,10 +512,10 @@ def normalized_file_forensic_output(action=None, success=None, container=None, r
         if orig_job == filtered_job:
             job_file_dict[filtered_job] = orig_url
 
-    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___score, filtered_result_1_data___detections):
+    for job, score_num, detections in zip(filtered_result_1_parameter_job_id, filtered_result_1_data___displayscore, filtered_result_1_data___detections):
         
         ## translate scores
-        score_id = score_num/10 if score_num > 0 else 0
+        score_id = int(score_num/10) if score_num > 0 else 0
         score = score_table[str(score_id)]
         file = job_file_dict[job]
         categories = [item.get('Description') for item in detections]
@@ -611,15 +611,9 @@ def build_file_output(action=None, success=None, container=None, results=None, h
                     "base_score": file_object['base_score'],
                     "score": file_object['score'],
                     "score_id": file_object['score_id'],
-                    "confidence": file_object['confidence'],
-                    "confidence": file_object['score_id'] #Attack Analyzer's score has confidence baked in.
+                    "confidence": file_object['base_score'] #Attack Analyzer's score has confidence baked in.
                 },
-                "enrichment": {
-                    "provider": "Splunk Attack Analyzer",
-                    "type": "file",
-
-                },
-                "categories": file_object['categories'],
+                "classifications": file_object['categories'],
                 "source": "Splunk Attack Analyzer",
                 "source_link":f"https://app.twinwave.io/job/{external_id}"
             }