Get ADUserResultantPasswordPolicy with Powershell
This analytic looks for the execution of
powershell.exe executing the Get ADUserResultantPasswordPolicy commandlet used to obtain the password policy in a Windows domain. Red Teams and adversaries alike may use PowerShell to enumerate domain policies for situational awareness and Active Directory Discovery.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2021-08-26
- Author: Teoderick Contreras, Mauricio Velazco, Splunk
- ID: 8b5ef342-065a-11ec-b0fc-acde48001122
Kill Chain Phase
- CIS 10
1 2 3 4 5 6 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.process_name="cmd.exe" OR Processes.process_name="powershell*") AND Processes.process = "*Get-ADUserResultantPasswordPolicy*" by Processes.dest Processes.user Processes.parent_process Processes.process_name Processes.process Processes.process_id Processes.parent_process_id Processes.parent_process_name | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `get_aduserresultantpasswordpolicy_with_powershell_filter`
The SPL above uses the following Macros:
get_aduserresultantpasswordpolicy_with_powershell_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
How To Implement
To successfully implement this search, you need to be ingesting logs with the process name, parent process, and command-line executions from your endpoints. If you are using Sysmon, you must have at least version 6.0.4 of the Sysmon TA. Tune and filter known instances where renamed rundll32.exe may be used.
Known False Positives
Administrators or power users may use this command for troubleshooting.
Associated Analytic Story
|25.0||50||50||an instance of process $process_name$ with commandline $process$ in $dest$|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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source | version: 1