mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Philip Royer
384 lines
16 KiB
JSON
384 lines
16 KiB
JSON
{
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"blockly": false,
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"blockly_xml": "<xml></xml>",
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"category": "Threat Response",
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"coa": {
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"data": {
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"description": "Published in response to CVE-2021-44228, \n this playbook investigates an internal unix host using SSH. This pushes a bash script to the endpoint and runs it, collecting information specific to the December 2021 log4j vulnerability disclosure. This includes the java version installed on the host, any running java processes, and the results of a scan for the affected JndiLookup.class file or log4j .jar files.",
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"edges": [
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{
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"id": "port_0_to_port_5",
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"sourceNode": "0",
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"sourcePort": "0_out",
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"targetNode": "5",
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"targetPort": "5_in"
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},
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{
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"id": "port_5_to_port_7",
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"sourceNode": "5",
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"sourcePort": "5_out",
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"targetNode": "7",
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"targetPort": "7_in"
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},
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{
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"id": "port_7_to_port_6",
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"sourceNode": "7",
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"sourcePort": "7_out",
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"targetNode": "6",
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"targetPort": "6_in"
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},
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{
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"id": "port_6_to_port_8",
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"sourceNode": "6",
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"sourcePort": "6_out",
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"targetNode": "8",
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"targetPort": "8_in"
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},
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{
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"id": "port_8_to_port_1",
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"sourceNode": "8",
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"sourcePort": "8_out",
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"targetNode": "1",
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"targetPort": "1_in"
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}
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],
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"hash": "836df07909a97930becce0ff97153dcc05232fc6",
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"nodes": {
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"0": {
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"data": {
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"advanced": {
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"join": []
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},
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"functionName": "on_start",
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"id": "0",
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"type": "start"
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},
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"errors": {},
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"id": "0",
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"type": "start",
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"x": 19.999999999999986,
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"y": -1.5987211554602254e-13
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},
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"1": {
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"data": {
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"advanced": {
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"join": []
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},
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"functionId": 1,
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"functionName": "on_finish",
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"id": "1",
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"type": "end"
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},
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"errors": {},
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"id": "1",
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"type": "end",
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"userCode": "\n # This function is called after all actions are completed.\n # summary of all the action and/or all details of actions\n # can be collected here.\n\n # summary_json = phantom.get_summary()\n # if 'result' in summary_json:\n # for action_result in summary_json['result']:\n # if 'action_run_id' in action_result:\n # action_results = phantom.get_action_results(action_run_id=action_result['action_run_id'], result_data=False, flatten=False)\n # phantom.debug(action_results)\n\n",
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"x": 19.999999999999986,
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"y": 756
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},
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"5": {
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"data": {
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"advanced": {
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"customName": "add embedded bash script to vault",
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"customNameId": 0,
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"join": []
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},
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"customFunction": {
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"draftMode": false,
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"name": "passthrough",
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"repoName": "community"
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},
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"functionId": 3,
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"functionName": "add_embedded_bash_script_to_vault",
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"id": "5",
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"selectMore": false,
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"type": "utility",
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"utilities": {
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"passthrough": {
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"description": "Return the inputs as outputs. This is useful for publishing pieces of data for other blocks in the playbook to use.",
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"fields": [
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_1",
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"name": "input_1",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_2",
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"name": "input_2",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_3",
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"name": "input_3",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_4",
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"name": "input_4",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_5",
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"name": "input_5",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_6",
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"name": "input_6",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_7",
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"name": "input_7",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_8",
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"name": "input_8",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_9",
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"name": "input_9",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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},
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{
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"dataTypes": [
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"*"
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],
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"description": "",
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"inputType": "list",
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"label": "input_10",
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"name": "input_10",
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"placeholder": "",
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"renderType": "datapath",
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"required": false
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}
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],
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"label": "passthrough",
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"name": "passthrough"
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}
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},
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"utilityType": "custom_function",
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"values": {
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"passthrough": {
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"input_1": null,
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"input_10": null,
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"input_2": null,
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"input_3": null,
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"input_4": null,
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"input_5": null,
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"input_6": null,
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"input_7": null,
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"input_8": null,
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"input_9": null
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}
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}
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},
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"errors": {},
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"id": "5",
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"type": "utility",
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"userCode": "\n bash_script = r\"\"\"\n#!/bin/bash\n \n# This script is part of the Splunk SOAR playbook called internal_host_ssh_log4j_investigate. It shows\n# the installed java version, lists any running java processes, performs a search for the JndiLookup.class\n# file in any .jar files found on disk, and searches any .war files for a log4j jar. The output is a human-readable\n# log and a set of .csv files to be copied back to SOAR\n\necho \"##############################################################\"\necho \"splunk_soar_internal_host_ssh_log4j_investigate.sh\"\necho \"##############################################################\"\necho \"\"\n\necho \"java environment configuration\" > /tmp/java_environment.csv\necho \"[+] Checking Java version:\"\necho \"$(java -version)\"\necho \"java version:\" >> /tmp/java_environment.csv\njava -version 2>> /tmp/java_environment.csv\n\necho \"\"\necho \"[+] Checking running Java processes with ps:\"\necho \"$(ps aux | grep java)\"\necho \"ps java processes:\" >> /tmp/java_environment.csv\necho \"$(ps aux | grep java)\" >> /tmp/java_environment.csv\n\necho \"\"\necho \"[+] Checking running Java processes with jps:\"\necho \"$(jps -v)\"\necho \"jps java processes:\" >> /tmp/java_environment.csv\necho \"$(jps -v)\" >> /tmp/java_environment.csv\n\necho \"[+] Search .jar files for JndiLookup.class files ...\"\necho \"jar_files\" > /tmp/jars_with_jndi.csv\nfind / 2>/dev/null -name '*.jar' -type f -print0 | xargs -0 grep JndiLookup.class | awk '{print $3}' | while read -r file\ndo\n if [ -f \"$file\" ]; then\n echo \"JndiLookup.class found in .jar file: $file\"\n echo \"$file\" >> /tmp/jars_with_jndi.csv\n fi\ndone\n\necho \"\"\necho \"[+] Search .war files for log4j .jar files ...\"\necho \"war_file,jar_size,jar_time_modified,jar_file\" > /tmp/wars_with_jars.csv\nfind / 2>/dev/null -name '*.war' -type f -print0 | xargs -0 grep log4j | awk '{print $3}' | while read -r war_file\ndo\n if [ -f \"$war_file\" ]; then\n unzip -l \"$war_file\" | grep log4j | awk '{print $1\",\" $2\" \"$3\",\"$4}' | while read -r jar_file\n do\n echo \".war file $war_file was found containing the file $jar_file\"\n echo \"$war_file,$jar_file\" >> /tmp/wars_with_jars.csv\n done\n fi\ndone\n\necho \"[+] Zip up the outputs ...\"\nzip -j /tmp/$1_ssh_log4j_output.zip /tmp/java_environment.csv /tmp/jars_with_jndi.csv /tmp/wars_with_jars.csv\necho \"wrote zip file to /tmp/$1_ssh_log4j_output.zip; next we will copy it back to SOAR\"\n\"\"\"\n \n file_name = 'splunk_soar_internal_host_ssh_log4j_investigate.sh'\n file_path = '/opt/phantom/vault/tmp/{}'.format(file_name)\n with open(file_path, 'w') as bash_script_file:\n bash_script_file.write(bash_script)\n \n success, message, vault_id = phantom.vault_add(file_location=file_path, file_name=file_name)\n parameters = [{'input_1': vault_id}]\n\n",
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"x": -1.4210854715202004e-14,
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"y": 147.99999999999991
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},
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"6": {
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"data": {
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"action": "execute program",
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"actionType": "generic",
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"advanced": {
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"customName": "run bash script",
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"customNameId": 0,
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"join": []
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},
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"connector": "SSH",
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"connectorConfigs": [
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"ssh"
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],
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"connectorId": "d37aa7fe-c973-44ee-a164-2ca5bf321b1f",
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"connectorVersion": "v1",
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"functionId": 1,
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"functionName": "run_bash_script",
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"id": "6",
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"parameters": {
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"command": "bash /tmp/splunk_soar_internal_host_ssh_log4j_investigate.sh",
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"ip_hostname": "playbook_input:ip_or_hostname"
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},
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"requiredParameters": [
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"ip_hostname"
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],
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"type": "action"
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},
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"errors": {},
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"id": "6",
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"type": "action",
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"userCode": "\n # append the ip_hostname as an argument so it can be used in the output zip file name\n for parameter in parameters:\n parameter['command'] = parameter['command'] + ' ' + parameter['ip_hostname']\n\n",
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"x": 0,
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"y": 460
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},
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"7": {
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"data": {
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"action": "put file",
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"actionType": "generic",
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"advanced": {
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"customName": "upload bash script",
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"customNameId": 0,
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"join": []
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},
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"connector": "SSH",
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"connectorConfigs": [
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"ssh"
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],
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"connectorId": "d37aa7fe-c973-44ee-a164-2ca5bf321b1f",
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"connectorVersion": "v1",
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"functionId": 1,
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"functionName": "upload_bash_script",
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"id": "7",
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"parameters": {
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"file_destination": "/tmp/",
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"ip_hostname": "playbook_input:ip_or_hostname",
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"vault_id": "add_embedded_bash_script_to_vault:custom_function_result.data.*.item"
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},
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"requiredParameters": [
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"vault_id",
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"ip_hostname",
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"file_destination"
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],
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"type": "action"
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},
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"errors": {},
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"id": "7",
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"type": "action",
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"x": 0,
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"y": 312
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},
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"8": {
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"data": {
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"action": "get file",
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"actionType": "investigate",
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"advanced": {
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"customName": "get output zip file",
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"customNameId": 0,
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"join": []
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},
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"connector": "SSH",
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"connectorConfigs": [
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"ssh"
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],
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"connectorId": "d37aa7fe-c973-44ee-a164-2ca5bf321b1f",
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"connectorVersion": "v1",
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"functionId": 1,
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"functionName": "get_output_zip_file",
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"id": "8",
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"parameters": {
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"file_path": "playbook_input:ip_or_hostname",
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"ip_hostname": "playbook_input:ip_or_hostname"
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},
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"requiredParameters": [
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"file_path",
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"ip_hostname"
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],
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"type": "action"
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},
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"errors": {},
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"id": "8",
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"type": "action",
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"userCode": "\n for parameter in parameters:\n parameter['file_path'] = '/tmp/' + parameter['file_path'] + '_ssh_log4j_output.zip'\n\n",
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"x": 0,
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"y": 608
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}
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},
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"notes": "This playbook uses the following Apps:\n - SSH (execute program, get file, put file) [asset name = ssh] - investigate behavior on the host\nDeployment Notes:\n - The ssh asset may require sudo access depending on permissions on the file system\n - The command line argument to the script is the ip_or_hostname, which will be used to name the zip file as output\n - To add a new data collection, pipe the output to a file and include it in the zip command"
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},
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"input_spec": [
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{
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"contains": [
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"host name",
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"ip"
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],
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"description": "IP address or hostname of the internal host to investigate",
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"name": "ip_or_hostname"
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}
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],
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"output_spec": null,
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"playbook_type": "data",
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"python_version": "3",
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"schema": "5.0.4",
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"version": "5.1.0.70187"
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},
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"create_time": "2021-12-15T21:17:41.411838+00:00",
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"draft_mode": false,
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"labels": [
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"*"
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],
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"tags": [
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"internal_host",
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"unix",
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"log4j",
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"investigate"
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]
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}
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