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Description

The following analytic utilizes PowerShell Script Block Logging (EventCode=4104) to identify the Get-ADComputer commandlet used with specific parameters to discover Windows endpoints with Kerberos Unconstrained Delegation. Red Teams and adversaries alike may leverage use this technique for situational awareness and Active Directory Discovery.

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

  • Last Updated: 2022-03-28
  • Author: Mauricio Velazco, Splunk
  • ID: c8640777-469f-4638-ab44-c34a3233ffac

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1018 Remote System Discovery Discovery
Kill Chain Phase
  • Reconnaissance
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE
1
2
3
4
5
 `powershell` EventCode=4104 (Message = "*Get-ADComputer*" AND Message = "*TrustedForDelegation*") 
| stats count min(_time) as firstTime max(_time) as lastTime by EventCode Message ComputerName User 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_get_adcomputer_unconstrained_delegation_discovery_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_get-adcomputer_unconstrained_delegation_discovery_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
  • EventCode
  • Message
  • ComputerName
  • User

How To Implement

The following analytic requires PowerShell operational logs to be imported. Modify the powershell macro as needed to match the sourcetype or add index. This analytic is specific to 4104, or PowerShell Script Block Logging.

Known False Positives

Administrators or power users may leverage PowerView for system management or troubleshooting.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
35.0 50 70 Suspicious PowerShell Get-ADComputer was identified on endpoint $ComputerName$

: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