Windows PowerView SPN Discovery
Description
The following analytic detects the execution of the Get-DomainUser
or Get-NetUser
PowerShell cmdlets with the -SPN
parameter, indicating the use of PowerView for SPN discovery. It leverages PowerShell Script Block Logging (EventCode=4104) to identify these specific commands. This activity is significant as it suggests an attempt to enumerate domain accounts associated with Service Principal Names (SPNs), a common precursor to Kerberoasting attacks. If confirmed malicious, this could allow an attacker to identify and target accounts for credential theft, potentially leading to unauthorized access and privilege escalation within the network.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-13
- Author: Gowthamaraj Rajendran, Splunk
- ID: a7093c28-796c-4ebb-9997-e2c18b870837
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
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`powershell` EventCode=4104 (ScriptBlockText =*Get-NetUser* OR ScriptBlockText=*Get-DomainUser*) ScriptBlockText= *-SPN*
| stats count min(_time) as firstTime max(_time) as lastTime by EventCode ScriptBlockText Computer UserID
| rename Computer as dest
| rename UserID as user
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_powerview_spn_discovery_filter`
Macros
The SPL above uses the following Macros:
windows_powerview_spn_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
- Computer
- ScriptBlockText
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
False positive may include Administrators using PowerView for troubleshooting and management.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
27.0 | 30 | 90 | PowerView commandlets used for SPN discovery executed on $dest$ |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
- https://book.hacktricks.xyz/windows-hardening/active-directory-methodology/kerberoast
- https://github.com/PowerShellMafia/PowerSploit/blob/master/Recon/PowerView.ps1
- https://www.ired.team/offensive-security-experiments/active-directory-kerberos-abuse/t1208-kerberoasting
- https://attack.mitre.org/techniques/T1558/003
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