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Description

Detect system information discovery techniques used by attackers to understand configurations of the system to further exploit it.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2021-09-07
  • Author: Patrick Bareiss, Splunk
  • ID: 8e99f89e-ae58-4ebc-bf52-ae0b1a277e72

ATT&CK

ID Technique Tactic
T1082 System Information Discovery Discovery

| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.process="*wmic* qfe*" OR Processes.process=*systeminfo* OR Processes.process=*hostname*) by Processes.user Processes.process_name Processes.process Processes.dest Processes.parent_process_name 
| `drop_dm_object_name(Processes)` 
| eventstats dc(process) as dc_processes_by_dest by dest 
| where dc_processes_by_dest > 2 
| stats values(process) as processes min(firstTime) as firstTime max(lastTime) as lastTime by user, dest parent_process_name 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `system_information_discovery_detection_filter`

Associated Analytic Story

How To Implement

To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the Endpoint datamodel in the Processes node.

Required field

  • _time
  • Processes.process
  • Processes.user
  • Processes.process_name
  • Processes.dest

Kill Chain Phase

  • Actions on Objectives

Known False Positives

Administrators debugging servers

RBA

Risk Score Impact Confidence Message
15.0 30 50 Potential system information discovery behavior on $dest$ by $User$

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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