Powershell Load Module in Meterpreter
The following analytic utilizes PowerShell Script Block Logging (EventCode=4104) to identify suspicious PowerShell execution. Script Block Logging captures the command sent to PowerShell, the full command to be executed. Upon enabling, logs will output to Windows event logs. Dependent upon volume, enable on critical endpoints or all.
This analytic identifies "MSF.Powershell","MSF.Powershell.Meterpreter","MSF.Powershell.Meterpreter.Kiwi","MSF.Powershell.Meterpreter.Transport" being used. This behavior is related to when a Meterpreter session is started and the operator runs load_kiwi.
During triage, review parallel processes using an EDR product or 4688 events. It will be important to understand the timeline of events around this activity. Review the entire logged PowerShell script block.
- Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-11-22
- Author: Michael Haag, Splunk
- ID: d5905da5-d050-48db-9259-018d8f034fcf
Kill Chain Phase
- CIS 3
- CIS 5
- CIS 16
1 2 3 4 5 `powershell` EventCode=4104 ScriptBlockText IN ("*MSF.Powershell*","*MSF.Powershell.Meterpreter*","*MSF.Powershell.Meterpreter.Kiwi*","*MSF.Powershell.Meterpreter.Transport*") | stats count min(_time) as firstTime max(_time) as lastTime by EventCode ScriptBlockText Computer user_id | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `powershell_load_module_in_meterpreter_filter`
The SPL above uses the following Macros:
powershell_load_module_in_meterpreter_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
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 positives should be very limited as this is strict to MetaSploit behavior.
Associated Analytic Story
|100.0||100||100||PowerShell was identified running a script utilized by Meterpreter from MetaSploit on endpoint $Computer$ by user $user_id$.|
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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