This analytic is to detect the execution of sdelete.exe application sysinternal tools. This tool is one of the most use tool of malware and adversaries to remove or clear their tracks and artifact in the targetted host. This tool is designed to delete securely a file in file system that remove the forensic evidence on the machine. A good TTP query to check why user execute this application which is not a common practice.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2021-10-06
- Author: Teoderick Contreras, Splunk
- ID: 31702fc0-2682-11ec-85c3-acde48001122
Kill Chain Phase
1 2 3 4 5 6 | tstats `security_content_summariesonly` values(Processes.process) as process values(Processes.parent_process) as parent_process values(Processes.process_id) as process_id count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where `process_sdelete` by Processes.process_name Processes.original_file_name Processes.dest Processes.user Processes.parent_process_name Processes.parent_process | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `sdelete_application_execution_filter`
The SPL above uses the following Macros:
sdelete_application_execution_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.
Known False Positives
user may execute and use this application
Associated Analytic Story
|49.0||70||70||sdelete process $process_name$ executed 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.
source | version: 1