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Description

The following analytic identifies a suspicious process creation of At application. This process can be used by malware, adversaries and red teamers to create persistence entry to the targeted or compromised host with their malicious code. This anomaly detection can be a good indicator to investigate the event before and after this process execution, when it was executed and what schedule task it will execute.

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2021-12-17
  • Author: Teoderick Contreras, Splunk
  • ID: bf0a378e-5f3c-11ec-a6de-acde48001122

ATT&CK

ID Technique Tactic
T1053.001 At (Linux) Execution, Persistence, Privilege Escalation
T1053 Scheduled Task/Job Execution, Persistence, Privilege Escalation

| tstats `security_content_summariesonly` count from datamodel=Endpoint.Processes where  Processes.process_name = at OR Processes.parent_process_name = at 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)` 
| `security_content_ctime(lastTime)` 
| `linux_at_application_execution_filter`

Associated Analytic Story

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.

Required field

  • _time
  • Processes.dest
  • Processes.user
  • Processes.parent_process_name
  • Processes.process_name
  • Processes.process
  • Processes.process_id
  • Processes.parent_process_id

Kill Chain Phase

  • Privilege Escalation

Known False Positives

Administrator or network operator can use this application for automation purposes. Please update the filter macros to remove false positives.

RBA

Risk Score Impact Confidence Message
9.0 30 30 At application was executed in $dest$

Reference

Test Dataset

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

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