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Description

This detection identifies use of Mimikatz modules for discovery of accounts and groups and access to them.

  • Type: TTP
  • Product: Splunk Behavioral Analytics
  • Datamodel:
  • Last Updated: 2020-11-05
  • Author: Stanislav Miskovic, Splunk
  • ID: 1bce67aa-3fc4-4886-9089-67f0bfebbef6

ATT&CK

ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Persistence, Privilege Escalation, Initial Access
T1087 Account Discovery Discovery
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)net::user/)=true OR match_regex(cmd_line, /(?i)net::group/)=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

  • _time
  • process
  • dest_device_id
  • dest_user_id

Kill Chain Phase

  • Actions on Objectives

Known False Positives

None identified.

RBA

Risk Score Impact Confidence Message
80.0 80 100 Mimikatz malware is searching for and using specific accounts and groups. 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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