Name:MacOS Osascript Executing JavaScript Code With ObjC id:9ad44dce-7291-47f8-84a7-e343a5147242 version:1 date:None author:Radka Viskova, Splunk status:production type:Anomaly Description:This analytic detects the macOS osascript utility executing JavaScript for Automation (JXA) code, identified by
the "-l JavaScript" interpreter flag, with references to the Objective-C bridge. Adversaries may abuse JXA and
Objective-C APIs to interact with macOS applications, access native system functionality, execute commands, or
perform post-exploitation activity. Data_source:
-Osquery Results
search:| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime
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.
Also the [TA-OSquery](https://splunkbase.splunk.com/app/8574) must be deployed across your indexers and universal forwarders in order to have the osquery data populate the data models. known_false_positives:Scripts that legitimately invoke utility Osascript with JavaScript for automation or system management. References: -https://attack.mitre.org/tactics/TA0002/ -https://attack.mitre.org/techniques/T1059/002/ -https://attack.mitre.org/techniques/T1059/007/ -https://www.loobins.io/binaries/osascript/ drilldown_searches: name:'View the detection results for - "$user$" and "$dest$"' search:'%original_detection_search% | search user = "$user$" dest = "$dest$"' earliest_offset:'$info_min_time$' latest_offset:'$info_max_time$' name:'View risk events for the last 7 days for - "$user$" and "$dest$"' 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)`' earliest_offset:'7d' latest_offset:'0' analytic_story:['MacOS Post-Exploitation']