MacOS Osascript Executing JavaScript Code With ObjC

 Original Source: [splunk source]
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

FROM datamodel=Endpoint.Processes WHERE

Processes.process_name="osascript"
Processes.process="*-l *"
Processes.process="* JavaScript*"
Processes.process="*ObjC.*"

BY Processes.action Processes.dest Processes.parent_process Processes.parent_process_exec
Processes.parent_process_guid Processes.parent_process_id
Processes.parent_process_name Processes.parent_process_path
Processes.process Processes.process_exec Processes.process_guid
Processes.process_hash Processes.process_id Processes.process_integrity_level
Processes.process_name Processes.process_path Processes.user
Processes.user_id Processes.vendor_product

| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `macos_osascript_executing_javascript_code_with_objc_filter`


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']

asset_type:Endpoint

mitre_attack_id:['T1059.002', 'T1059.007']

product:['Splunk Enterprise', 'Splunk Enterprise Security', 'Splunk Cloud']

category:endpoint

security_domain:endpoint

tags:

tests:
 name:'True Positive Test'
 attack_data:
  data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1059.002/osascript_JavaScript_command_execution_Objective_C/osascript_JavaScript_command_execution_Objective_C.log
  source: osquery
  sourcetype: osquery:results
 test_type:'unit'
manual_test:None

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