:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

Description

This detection is looking at zeek wiredata for specific replication RPC calls being performed from a device which is not a domain controller. If you would like to capture these RPC calls using Splunk Stream, please vote for my idea here https://ideas.splunk.com/ideas/APPSID-I-619 ;)

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Change
  • Last Updated: 2022-09-08
  • Author: Dean Luxton
  • ID: c4aeeeef-da7f-4338-b3ba-553cbcbe2138

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1207 Rogue Domain Controller Defense Evasion
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 13
CVE 


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`zeek_rpc` DrsReplicaAdd OR DRSGetNCChanges 
| where NOT (dest_category="Domain Controller") OR NOT (src_category="Domain Controller") 
| fillnull value="Unknown" src_category, dest_category 
| table _time endpoint operation src src_category dest dest_category 
| `windows_ad_rogue_domain_controller_network_activity_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_ad_rogue_domain_controller_network_activity_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.

  • _time
  • src
  • dest

How To Implement

Run zeek on domain controllers to capture the DCE RPC calls, ensure the domain controller categories are defined in Assets and Identities.

Known False Positives

None.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
100.0 100 100 Rogue DC Activity Detected from $src_category$ device $src$ to $dest$ ($dest_category$)

: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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