The following analytic identifies usage of
wmic.exe spawning a local or remote process, identified by the
node switch. During triage, review parallel processes for additional commands executed. Look for any file modifications before and after
wmic.exe execution. In addition, identify the remote endpoint and confirm execution or file modifications. Contain and isolate the endpoint as needed.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2018-12-03
- Author: Rico Valdez, Michael Haag, Splunk
- ID: 272df6de-61f1-4784-877c-1fbc3e2d0838
Kill Chain Phase
- Actions on Objectives
- CIS 3
- CIS 5
1 2 3 4 5 6 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where `process_wmic` Processes.process=*node* by Processes.dest Processes.user Processes.parent_process 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)` | `remote_wmi_command_attempt_filter`
The SPL above uses the following Macros:
remote_wmi_command_attempt_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
To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the
Endpoint datamodel in the
Processes node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA for the endpoint product. Deprecated because duplicate of Remote Process Instantiation via WMI.
Known False Positives
Administrators may use this legitimately to gather info from remote systems. Filter as needed.
Associated Analytic Story
|36.0||60||60||A wmic.exe process $process$ contain node commandline $process$ in host $dest$|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
source | version: 4