: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

Detect users added to privileged AD Groups.

  • Type: TTP

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2023-09-27
  • Author: Dean Luxton
  • ID: 187bf937-c436-4c65-bbcb-7539ffe02da1

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1098 Account Manipulation Persistence, Privilege Escalation
Kill Chain Phase
  • Installation
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE 


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`wineventlog_security` EventCode IN (4728) 
| stats min(_time) as _time dc(user) as usercount, values(user) as user values(user_category) as user_category values(src_user_category) as src_user_category values(dvc) as dvc by signature, Group_Name,src_user 
| lookup admon_groups_def  cn as Group_Name OUTPUT category 
| where category="privileged" 
| `windows_ad_privileged_group_modification_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_ad_privileged_group_modification_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.

  • EventCode
  • user
  • src_user
  • signature
  • Group_Name
  • dest

How To Implement

This analytic requires eventCode 4728 to be ingested along with the admon_groups_def lookup being configured to include a list of AD groups along with a category to identify privileged groups. See splunkbase app listed in the references for further details.

Known False Positives

None

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
50.0 50 100 $user$ was added to privileged AD Group $Group_Name$ by $src_user$

: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

source | version: 1