Name:Windows Crowdstrike RTR Script Execution id:be2bbfff-77c9-4d65-9b7c-97726051534a version:3 date:None author:Raven Tait, Splunk status:production type:Anomaly Description:Detects usage of Crowdstrike Real Time Response (RTR) to execute a "runscript" command.
This can be used by malicious actors with access to the Crowdstrike Dashboard to execute commands on remote managed hosts. Data_source:
-Sysmon EventID 1
-CrowdStrike ProcessRollup2
search:| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime
how_to_implement:The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint` data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process. known_false_positives:Legitimate Crowdstrike administrators may use RTR runscript commands for maintenance or troubleshooting. Filter alerts for trusted user activity and approved scripts. References: -https://cloud.google.com/blog/topics/threat-intelligence/unc3944-targets-saas-applications drilldown_searches: earliest_offset:'$info_min_time$' latest_offset:'$info_max_time$' name:'View the detection results for - "$user$" and "$dest$"' search:'%original_detection_search% | search user = "$user$" dest = "$dest$"' 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:['Malicious PowerShell', 'Living Off The Land', 'Cobalt Strike', 'Suspicious MSHTA Activity']