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The following analytic identifies the use of a native MacOS utility, PlistBuddy, creating or modifying a properly list (.plist) file. In the instance of Silver Sparrow, the following commands were executed:\

  • PlistBuddy -c "Add :Label string init_verx" ~/Library/Launchagents/init_verx.plist \
  • PlistBuddy -c "Add :RunAtLoad bool true" ~/Library/Launchagents/init_verx.plist \
  • PlistBuddy -c "Add :StartInterval integer 3600" ~/Library/Launchagents/init_verx.plist \
  • PlistBuddy -c "Add :ProgramArguments array" ~/Library/Launchagents/init_verx.plist \
  • PlistBuddy -c "Add :ProgramArguments:0 string /bin/sh" ~/Library/Launchagents/init_verx.plist \
  • PlistBuddy -c "Add :ProgramArguments:1 string -c" ~/Library/Launchagents/init_verx.plist
    Upon triage, capture the property list file being written to disk and review for further indicators. Contain the endpoint and triage further.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel:
  • Last Updated: 2021-02-22
  • Author: Michael Haag, Splunk
  • ID: 20ba6c32-c733-4a32-b64e-2688cf231399


ID Technique Tactic
T1543.001 Launch Agent Persistence, Privilege Escalation
T1543 Create or Modify System Process Persistence, Privilege Escalation
`osquery_process` "columns.cmdline"="*LaunchAgents*" OR "columns.cmdline"="*RunAtLoad*" OR "columns.cmdline"="*true*" 
|  `suspicious_plistbuddy_usage_via_osquery_filter`

Associated Analytic Story

How To Implement

OSQuery must be installed and configured to pick up process events (info at https://osquery.io) as well as using the Splunk OSQuery Add-on https://splunkbase.splunk.com/app/4402. Modify the macro and validate fields are correct.

Required field

  • _time
  • columns.cmdline

Kill Chain Phase

  • Actions on Objectives

Known False Positives

Some legitimate applications may use PlistBuddy to create or modify property lists and possibly generate false positives. Review the property list being modified or created to confirm.


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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