4.8 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 , PowerShell |
|
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
- EventCode
- ScriptBlockText
- Computer
- UserID
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 Computer 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
- https://attack.mitre.org/techniques/T1087/001/
- https://www.splunk.com/en_us/blog/security/hunting-for-malicious-powershell-using-script-block-logging.html
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