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Description

This analytic is to detect a registry modification to disable ETW feature of windows. This technique is to evade EDR appliance to evade detections and hide its execution from audit logs.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2021-10-07
  • Author: Teoderick Contreras, Splunk
  • ID: 8ed523ac-276b-11ec-ac39-acde48001122

ATT&CK

ID Technique Tactic
T1562.006 Indicator Blocking Defense Evasion
T1127 Trusted Developer Utilities Proxy Execution Defense Evasion
T1562 Impair Defenses Defense Evasion

| tstats `security_content_summariesonly` count  min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Registry where (Registry.registry_path="*\\SOFTWARE\\Microsoft\\.NETFramework*") Registry.registry_value_name = ETWEnabled Registry.registry_value_data=0x00000000 by Registry.dest Registry.user Registry.registry_path Registry.registry_key_name Registry.registry_value_name Registry.registry_value_data 
| `security_content_ctime(lastTime)` 
| `security_content_ctime(firstTime)` 
| `etw_registry_disabled_filter`

Associated Analytic Story

How To Implement

To successfully implement this search, you must be ingesting data that records registry activity from your hosts to populate the endpoint data model in the registry node. This is typically populated via endpoint detection-and-response product, such as Carbon Black or endpoint data sources, such as Sysmon. The data used for this search is typically generated via logs that report reads and writes to the registry.

Required field

  • _time
  • Registry.dest
  • Registry.user
  • Registry.registry_path
  • Registry.registry_key_name
  • Registry.registry_value_name
  • Registry.registry_value_data

Kill Chain Phase

  • Exploitation

Known False Positives

unknown

RBA

Risk Score Impact Confidence Message
90.0 90 100 modified/added/deleted registry entry $Registry.registry_path$ in $dest$

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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