This analytic will identify the possible execution of ping sleep batch commands. This technique was seen in several malware samples and is used to trigger sleep times without explicitly calling sleep functions or commandlets. The goal is to delay the execution of malicious code and bypass detection or sandbox analysis. This detection can be a good indicator of a process delaying its execution for malicious purposes.
- Type: Anomaly
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2022-01-20
- Author: Teoderick Contreras, Splunk
- ID: ce058d6c-79f2-11ec-b476-acde48001122
Kill Chain Phase
- CIS 3
- CIS 5
- CIS 16
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_ping` (Processes.parent_process = "*ping*" Processes.parent_process = *-n* Processes.parent_process="* Nul*"Processes.parent_process="*>*") OR (Processes.process = "*ping*" Processes.process = *-n* Processes.process="* Nul*"Processes.process="*>*") by Processes.parent_process_name Processes.parent_process Processes.process_name Processes.original_file_name Processes.process Processes.process_id Processes.process_guid Processes.user Processes.dest | `drop_dm_object_name("Processes")` | `security_content_ctime(firstTime)` |`security_content_ctime(lastTime)` | `ping_sleep_batch_command_filter`
The SPL above uses the following Macros:
ping_sleep_batch_command_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 must have at least version 6.0.4 of the Sysmon TA.
Known False Positives
Administrator or network operator may execute this command. Please update the filter macros to remove false positives.
Associated Analytic Story
|36.0||60||60||suspicious $process$ commandline run 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.
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