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Description

This detection identifies use of DSInternals modules for illegal management of Active Directoty elements and policies.

  • Type: TTP
  • Product: Splunk Behavioral Analytics
  • Datamodel: Endpoint_Processes
  • Last Updated: 2020-11-09
  • Author: Stanislav Miskovic, Splunk
  • ID: a587ca9f-c138-47b4-ba51-699f319b8cc5

ATT&CK

ID Technique Tactic
T1098 Account Manipulation Persistence
T1207 Rogue Domain Controller Defense Evasion
T1484 Domain Policy Modification Defense Evasion, Privilege Escalation

| from read_ssa_enriched_events()

| eval timestamp=parse_long(ucast(map_get(input_event, "_time"), "string", null)), cmd_line=ucast(map_get(input_event, "process"), "string", null), event_id=ucast(map_get(input_event, "event_id"), "string", null) 
| where cmd_line != null AND ( match_regex(cmd_line, /(?i)Remove-ADDBObject/)=true OR match_regex(cmd_line, /(?i)Set-ADDBDomainController/)=true OR match_regex(cmd_line, /(?i)Set-ADDBPrimaryGroup/)=true OR match_regex(cmd_line, /(?i)Set-LsaPolicyInformation/)=true )

| eval start_time = timestamp, end_time = timestamp, entities = mvappend( ucast(map_get(input_event, "dest_user_id"), "string", null), ucast(map_get(input_event, "dest_device_id"), "string", null)), body=create_map(["event_id", event_id, "cmd_line", cmd_line]) 
| into write_ssa_detected_events();

Associated Analytic Story

How To Implement

You must be ingesting Windows Security logs from devices of interest, including the event ID 4688 with enabled command line logging.

Required field

  • dest_device_id
  • dest_user_id
  • process
  • _time

Kill Chain Phase

  • Actions on Objectives

Known False Positives

None identified.

RBA

Risk Score Impact Confidence Message
90.0 90 100 DSInternals malware is controlling infrastructure by modifying Active Directory elements, domain controllers, and policies. Operation is performed at the device $dest_device_id$, by the account $dest_user_id$ via command $cmd_line$

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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