Attackers often disable security tools to avoid detection. This search looks for the usage of process
fltMC.exe to unload a Sysmon Driver that will stop sysmon from collecting the data.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2022-06-01
- Author: Bhavin Patel, Splunk
- ID: e5928ff3-23eb-4d8b-b8a4-dcbc844fdfbe
Kill Chain Phase
- Actions on Objectives
- CIS 8
1 2 3 4 5 6 7 | tstats `security_content_summariesonly` count min(_time) as firstTime values(Processes.process) as process max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process_name=fltMC.exe AND Processes.process=*unload* AND Processes.process=*SysmonDrv* by Processes.process_name Processes.process_id Processes.parent_process_name Processes.process Processes.dest Processes.user | `drop_dm_object_name("Processes")` | `security_content_ctime(firstTime)` |`security_content_ctime(lastTime)` |`unload_sysmon_filter_driver_filter` | table firstTime lastTime dest user count process_name process_id parent_process_name process
The SPL above uses the following Macros:
unload_sysmon_filter_driver_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Supported Add-on (TA)
List of Splunk Add-on’s tested to work with the analytic.
List of fields required to use this analytic.
How To Implement
You must be ingesting data that records process activity from your hosts to populate the Endpoint data model in the Processes node. You must also be ingesting logs with both the process name and command line from your endpoints. The command-line arguments are mapped to the "process" field in the Endpoint data model. This search is also shipped with
unload_sysmon_filter_driver_filter macro, update this macro to filter out false positives.
Known False Positives
Unknown at the moment
Associated Analytic Story
|45.0||50||90||Possible Sysmon filter driver unloading 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.
source | version: 4