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The following detection identifies the usage of archive tools from the command line.

  • Type: Anomaly
  • Product: Splunk Behavioral Analytics
  • Datamodel: Endpoint_Processes
  • Last Updated: 2021-11-22
  • Author: Patrick Bareiss, Splunk
  • ID: 63614a58-10e2-4c6c-ae81-ea1113681439


ID Technique Tactic
T1560.001 Archive via Utility Collection
T1560 Archive Collected Data Collection
| from read_ssa_enriched_events() 
| eval timestamp=parse_long(ucast(map_get(input_event,"_time"), "string", null)), process=lower(ucast(map_get(input_event, "process"), "string", null)), process_name=lower(ucast(map_get(input_event, "process_name"), "string", null)), process_path=ucast(map_get(input_event, "process_path"), "string", null), parent_process_name=ucast(map_get(input_event, "parent_process_name"), "string", null), parent_process=ucast(map_get(input_event, "parent_process"), "string", null), event_id=ucast(map_get(input_event, "event_id"), "string", null) 
| where process_name IS NOT NULL AND parent_process_name IS NOT NULL 
| where like(process_name, "7z%") OR process_name="WinRAR.exe" OR like(process_name, "winzip%") 
| where like(parent_process_name, "%cmd.exe") OR like(parent_process_name, "%powershell.exe") 
| eval start_time=timestamp, end_time=timestamp, entities=mvappend(ucast(map_get(input_event, "dest_user_id"), "string", null), ucast(map_get(input_event, "dest_device_id"), "string", null)), body=create_map(["event_id", event_id, "process_name", process_name, "parent_process_name", parent_process_name, "process_path", process_path]) 
| into write_ssa_detected_events();


The SPL above uses the following Macros:

Note that anomalous_usage_of_archive_tools_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

  • _time
  • Processes.process_name
  • Processes.process
  • Processes.dest
  • Processes.user
  • Processes.parent_process_name
  • Processes.parent_process

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.

Known False Positives

False positives can be ligitmate usage of archive tools from the command line.

Associated Analytic story

Kill Chain Phase

  • Actions on Objective


Risk Score Impact Confidence Message
42.0 70 60 An instance of $parent_process_name$ spawning $process_name$ was identified on endpoint $dest$ by user $user$. This behavior is indicative of suspicious loading of 7zip.

Note that risk score is calculated base on the following formula: (Impact * Confidence)/100


Test Dataset

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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