Detection: Windows WMI Process And Service List

Description

The following analytic identifies suspicious WMI command lines querying for running processes or services. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific process and command-line events. This activity is significant as adversaries often use WMI to gather system information and identify services on compromised machines. If confirmed malicious, this behavior could allow attackers to map out the system, identify critical services, and plan further attacks, potentially leading to privilege escalation or persistence within the environment.

Search

1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where `process_wmic` Processes.process IN ("*process list*", "*service list*") by Processes.process_name Processes.original_file_name Processes.process Processes.process_id Processes.process_guid Processes.parent_process_name Processes.parent_process Processes.parent_process_guid Processes.dest Processes.user 
3| `drop_dm_object_name(Processes)` 
4| `security_content_ctime(firstTime)` 
5| `security_content_ctime(lastTime)` 
6| `windows_wmi_process_and_service_list_filter`

Data Source

Macros Used

Annotations

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Implementation

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

netowrk administrator or IT may execute this command for auditing processes and services.

Associated Analytic Story

• Prestige Ransomware

• Windows Post-Exploitation

Risk Based Analytics (RBA)

References

• https://github.com/carlospolop/PEASS-ng/tree/master/winPEAS

• https://www.microsoft.com/en-us/security/blog/2022/10/14/new-prestige-ransomware-impacts-organizations-in-ukraine-and-poland/

Detection Testing

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: GitHub | Version: 2