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Description
The following analytic detects the spawning of a PowerShell process as a child or grandchild of commonly abused processes like services.exe, wmiprsve.exe, svchost.exe, wsmprovhost.exe, and mmc.exe. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process names, as well as command-line executions. This activity is significant as it often indicates lateral movement or remote code execution attempts by adversaries. If confirmed malicious, this behavior could allow attackers to execute code remotely, escalate privileges, or persist within the environment.
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Type: TTP
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Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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Datamodel: Endpoint
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Last Updated: 2024-06-18
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Author: Mauricio Velazco, Michael Haag, Splunk
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ID: cb909b3e-512b-11ec-aa31-3e22fbd008af
Annotations
ATT&CK
ID |
Technique |
Tactic |
T1021 |
Remote Services |
Lateral Movement |
T1021.003 |
Distributed Component Object Model |
Lateral Movement |
T1021.006 |
Windows Remote Management |
Lateral Movement |
T1047 |
Windows Management Instrumentation |
Execution |
T1053.005 |
Scheduled Task |
Execution, Persistence, Privilege Escalation |
T1543.003 |
Windows Service |
Persistence, Privilege Escalation |
Kill Chain Phase
- Exploitation
- Installation
NIST
CIS20
CVE
Search
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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.parent_process_name=wmiprvse.exe OR Processes.parent_process_name=services.exe OR Processes.parent_process_name=svchost.exe OR Processes.parent_process_name=wsmprovhost.exe OR Processes.parent_process_name=mmc.exe) (Processes.process_name=powershell.exe OR (Processes.process_name=cmd.exe AND Processes.process=*powershell.exe*) OR Processes.process_name=pwsh.exe OR (Processes.process_name=cmd.exe AND Processes.process=*pwsh.exe*)) NOT (Processes.process IN ("*c:\\windows\\ccm\\*")) by Processes.dest Processes.user Processes.parent_process_name Processes.process_name Processes.process Processes.process_id Processes.parent_process_id
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `possible_lateral_movement_powershell_spawn_filter`
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Macros
The SPL above uses the following Macros:
possible_lateral_movement_powershell_spawn_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
- Processes.dest
- Processes.user
- Processes.parent_process_name
- Processes.parent_process
- Processes.original_file_name
- Processes.process_name
- Processes.process
- Processes.process_id
- Processes.parent_process_path
- Processes.process_path
- Processes.parent_process_id
How To Implement
The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the Processes
node of the Endpoint
data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.
Known False Positives
Legitimate applications may spawn PowerShell as a child process of the the identified processes. Filter as needed.
Associated Analytic Story
RBA
Risk Score |
Impact |
Confidence |
Message |
45.0 |
90 |
50 |
A PowerShell process was spawned as a child process of typically abused processes 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
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: 5