mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Eric McGinnis
56 lines
3.2 KiB
YAML
56 lines
3.2 KiB
YAML
name: MacOS plutil
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id: c11f2b57-92c1-4cd2-b46c-064eafb833ac
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version: 11
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creation_date: '2022-03-04'
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modification_date: '2026-05-13'
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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 plist files on macOS systems. It leverages osquery to monitor process events, specifically looking for executions of `/usr/bin/plutil`. This activity is significant because adversaries can use `plutil` to alter plist files, potentially adding malicious binaries or command-line arguments that execute upon user logon or system startup. If confirmed malicious, this could allow attackers to achieve persistence, execute arbitrary code, or escalate privileges, posing a significant threat to the system's security.
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data_source:
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- Osquery Results
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search: "`osquery_macro` name=es_process_events columns.path=/usr/bin/plutil\n | rename columns.* as *\n | stats count min(_time) as firstTime max(_time) as lastTime\n BY username host cmdline\n pid path parent\n signing_id\n | rename username as user, cmdline as process, path as process_path, host as dest\n | `security_content_ctime(firstTime)`\n | `security_content_ctime(lastTime)`\n | `macos_plutil_filter`"
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how_to_implement: This detection uses osquery and endpoint security on MacOS. Follow the link in references, which describes how to setup process auditing in MacOS with 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 ("$user$", "$dest$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
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earliest_offset: 7d
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latest_offset: '0'
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finding:
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title: plutil are executed on $dest$ from $user$
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entity:
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field: user
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type: user
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score: 50
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intermediate_findings:
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entities:
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- field: dest
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type: system
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score: 50
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message: plutil are executed on $dest$ from $user$
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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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category: endpoint
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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: 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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test_type: unit
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