mirror of
https://github.com/splunk/security_content
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Eric
71 lines
3.0 KiB
YAML
71 lines
3.0 KiB
YAML
name: MacOS plutil
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id: c11f2b57-92c1-4cd2-b46c-064eafb833ac
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version: 7
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date: '2025-05-02'
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author: Patrick Bareiss, Splunk
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status: production
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type: TTP
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description: The following analytic detects the usage of the `plutil` command to modify
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plist files on macOS systems. It leverages osquery to monitor process events, specifically
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looking for executions of `/usr/bin/plutil`. This activity is significant because
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adversaries can use `plutil` to alter plist files, potentially adding malicious
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binaries or command-line arguments that execute upon user logon or system startup.
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If confirmed malicious, this could allow attackers to achieve persistence, execute
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arbitrary code, or escalate privileges, posing a significant threat to the system's
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security.
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data_source:
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- osquery
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search: '`osquery_macro` name=es_process_events columns.path=/usr/bin/plutil | rename
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columns.* as * | stats count min(_time) as firstTime max(_time) as lastTime by
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username host cmdline pid path parent signing_id | rename username as user, cmdline
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as process, path as process_path, host as dest | `security_content_ctime(firstTime)`|
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`security_content_ctime(lastTime)` | `macos_plutil_filter`'
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how_to_implement: This detection uses osquery and endpoint security on MacOS. Follow
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the link in references, which describes how to setup process auditing in MacOS with
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endpoint security and osquery.
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known_false_positives: Administrators using plutil to change plist files.
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references:
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- https://osquery.readthedocs.io/en/stable/deployment/process-auditing/
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drilldown_searches:
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- name: View the detection results for - "$user$" and "$dest$"
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search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$user$" and "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$",
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"$dest$") starthoursago=168 | stats count min(_time) as firstTime max(_time)
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as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk
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Message" values(analyticstories) as "Analytic Stories" values(annotations._all)
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as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics"
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by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: plutil are executed on $dest$ from $user$
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risk_objects:
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- field: user
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type: user
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score: 25
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- field: dest
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type: system
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score: 25
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threat_objects: []
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tags:
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analytic_story:
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- Living Off The Land
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asset_type: Endpoint
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mitre_attack_id:
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- T1647
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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security_domain: endpoint
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1647/atomic_red_team/osquery.log
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source: osquery
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sourcetype: osquery:results
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