testing locally

detections/application/detect_distributed_password_spray_attempts.yml

@@ -64,7 +64,7 @@ tags:
     role:
     - Attacker
   - name: user_agent
-    type: user_agent
+    type: Other
     role:
     - Attacker
   product:

detections/application/detect_password_spray_attempts.yml

@@ -13,7 +13,7 @@ description: This analytic employs the 3-sigma approach to detect an unusual vol
   Authentication Data Model, this detection is effective for all CIM-mapped authentication events, providing
   comprehensive coverage and enhancing security against these attacks.
 search: >-
-  | tstats `security_content_summariesonly` dc(Authentication.user) AS unique_accounts values(Authentication.app) as app count(Authentication.user) as total_failures from datamodel=Authentication.Authentication where Authentication.action="failure" NOT Authentication.src IN ("-","unknown") by Authentication.src, Authentication.action, Authentication.signature_id, sourcetype, _time span=5m 
+  | tstats `security_content_summariesonly` values(Authentication.user) AS unique_user_names dc(Authentication.user) AS unique_accounts values(Authentication.app) as app count(Authentication.user) as total_failures from datamodel=Authentication.Authentication where Authentication.action="failure" NOT Authentication.src IN ("-","unknown") by Authentication.src, Authentication.action, Authentication.signature_id, sourcetype, _time span=5m 
   | `drop_dm_object_name("Authentication")`
       ```fill out time buckets for 0-count events during entire search length```
   | appendpipe [| timechart limit=0 span=5m count | table _time]
@@ -22,7 +22,7 @@ search: >-
   | eval counter=src+"__"+sourcetype+"__"+signature_id 
   | eventstats values(counter) as fnscounter 
   | eval counter=coalesce(counter,fnscounter) 
-  | stats values(app) as app values(total_failures) as total_failures values(src) as src values(signature_id) as signature_id values(sourcetype) as sourcetype count by counter unique_accounts _time
+  | stats values(app) as app values(unique_user_names) as unique_user_names values(total_failures) as total_failures values(src) as src values(signature_id) as signature_id values(sourcetype) as sourcetype count by counter unique_accounts _time
       ``` remove duplicate time buckets for each unique source```
   | sort - _time unique_accounts
   | dedup _time counter
@@ -34,7 +34,7 @@ search: >-
   | where isOutlier=1 
   | foreach * 
       [ eval <<FIELD>> = if(<<FIELD>>="null",null(),<<FIELD>>)] 
-  | table _time, src, action, app, unique_accounts, total_failures, sourcetype, signature_id, counter
+  | table _time, src, action, app, unique_accounts, unique_user_names, total_failures, sourcetype, signature_id, counter
   | `detect_password_spray_attempts_filter`
 how_to_implement: >-
   Ensure in-scope authentication data is CIM mapped and the src field is populated with the source device. 
@@ -68,6 +68,10 @@ tags:
   - T1110.003
   - T1110
   observable:
+  - name: unique_user_names
+    type: User
+    role:
+    - Victim
   - name: src
     type: Endpoint
     role:

detections/network/internal_horizontal_port_scan_nmap_top_20.yml

@@ -29,6 +29,15 @@ how_to_implement: To properly run this search, Splunk needs to ingest data from
   enable this search effectively.
 known_false_positives: Unknown
 references: []
+drilldown_searches:
+- name: View the detection results for $src_ip$
+  search: '%original_detection_search% | search  src_ip = $src_ip$'
+  earliest_offset: $info_min_time$
+  latest_offset: $info_max_time$
+- name: View risk events for the last 7 days for $src_ip$
+  search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ($src_ip$) starthoursago=168 endhoursago=1 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
+  earliest_offset: $info_min_time$
+  latest_offset: $info_max_time$
 tags:
   analytic_story:
   - Network Discovery