Linux Impair Defenses Process Kill
This analytic looks for PKILL process execution for possible termination of process. This technique is being used by several Threat actors, adversaries and red teamers to terminate processes in a targeted linux machine. This Hunting detection can be a good pivot to check a possible defense evasion technique or termination of security application in a linux host or wiper like Awfulshred that corrupt all files.
- Type: Hunting
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2023-02-08
- Author: Teoderick Contreras, Splunk
- ID: 435c6b33-adf9-47fe-be87-8e29fd6654f5
Kill Chain Phase
- CIS 3
- CIS 5
- CIS 16
1 2 3 4 5 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process_name IN ( "pgrep", "pkill") Processes.process = "*pkill *" by Processes.dest Processes.user Processes.parent_process_name Processes.process_name Processes.process Processes.process_id Processes.parent_process_id Processes.process_guid | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `linux_impair_defenses_process_kill_filter`
The SPL above uses the following Macros:
linux_impair_defenses_process_kill_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 logs with the process name, parent process, and command-line executions from your endpoints. If you are using Sysmon, you can use the Add-on for Linux Sysmon from Splunkbase.
Known False Positives
network admin can terminate a process using this linux command. Filter is needed.
Associated Analytic Story
|9.0||30||30||a $process_name$ tries to execute pkill commandline to terminate process in $dest$|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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: 1