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Description

The following analytic identifies usage of the MPCmdRun utility that can be abused by adversaries by moving it to a new directory.

  • Type: Anomaly
  • Product: Splunk Behavioral Analytics
  • Datamodel: Endpoint_Processes
  • Last Updated: 2022-07-18
  • Author: Lou Stella, Splunk
  • ID: c205bd2e-cd5b-4224-8510-578a2a1f83d7

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1036 Masquerading Defense Evasion
T1036.003 Rename System Utilities Defense Evasion
Kill Chain Phase
  • Actions on Objectives
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE
1
2
3
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6
 from read_ssa_enriched_events() 
| eval device=ucast(map_get(input_event, "dest_device_id"), "string", null), user=ucast(map_get(input_event, "dest_user_id"), "string", null), timestamp=parse_long(ucast(map_get(input_event, "_time"), "string", null)), process_name=lower(ucast(map_get(input_event, "process_name"), "string", null)), cmd_line=lower(ucast(map_get(input_event, "process"), "string", null)), process_path=lower(ucast(map_get(input_event, "process_path"), "string", null)), event_id=ucast(map_get(input_event, "event_id"), "string", null) 
| where process_name IS NOT NULL AND process_name="mpcmdrun.exe" 
| where process_path IS NOT NULL AND match_regex(process_path, /(?i)\\microsoft\\windows defender\\platform/)=false AND match_regex(process_path, /(?i)\\windows defender/)=false 
| eval start_time=timestamp, end_time=timestamp, entities=mvappend(device, user), body=create_map(["event_id", event_id, "process_path", process_path, "process_name", process_name, "cmd_line", cmd_line]) 
| into write_ssa_detected_events(); 

Macros

The SPL above uses the following Macros:

:information_source: windows_defender_tools_in_non_standard_path_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • dest_device_id
  • process_name
  • _time
  • dest_user_id
  • process_path
  • cmd_line

How To Implement

Collect endpoint data such as sysmon or 4688 events.

Known False Positives

False positives may be present and filtering may be required.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
56.0 70 80 Process $process_name$ with commandline $cmd_line$ spawn in non-default folder path on host $dest_device_id$

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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