4.4 KiB
title, excerpt, categories, last_modified_at, toc, toc_label, tags
| title | excerpt | categories | last_modified_at | toc | toc_label | tags | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GetLocalUser with PowerShell Script Block | Account Discovery , Local Account |
|
2022-03-22 | true |
|
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Description
The following analytic utilizes PowerShell Script Block Logging (EventCode=4104) to identify the execution of the Get-LocalUser commandlet. The Get-LocalUser commandlet is used to return a list of all local users. Red Teams and adversaries may leverage this commandlet to enumerate users for situational awareness and Active Directory Discovery.
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Type: Hunting
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Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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Last Updated: 2022-03-22
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Author: Mauricio Velazco, Splunk
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ID: 2e891cbe-0426-11ec-9c9c-acde48001122
Annotations
ATT&CK
Kill Chain Phase
- Reconnaissance
NIST
CIS20
CVE
Search
`powershell` EventCode=4104 (ScriptBlockText = "*Get-LocalUser*")
| stats count min(_time) as firstTime max(_time) as lastTime by EventCode ScriptBlockText Computer user_id
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `getlocaluser_with_powershell_script_block_filter`
Macros
The SPL above uses the following Macros:
ℹ️ getlocaluser_with_powershell_script_block_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required field
- _time
How To Implement
To successfully implement this analytic, you will need to enable PowerShell Script Block Logging on some or all endpoints. Additional setup here https://docs.splunk.com/Documentation/UBA/5.0.4.1/GetDataIn/AddPowerShell#Configure_module_logging_for_PowerShell.
Known False Positives
Administrators or power users may use this PowerShell commandlet for troubleshooting.
Associated Analytic story
RBA
| Risk Score | Impact | Confidence | Message |
|---|---|---|---|
| 15.0 | 30 | 50 | Local user discovery enumeration using PowerShell on dest by user |
ℹ️ 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: 2