Name:Linux Ghostscript Exploitation id:580f99d8-a4c8-4ef1-9c84-f355867bca41 version:2 date:None author:Raven Tait, Splunk status:production type:TTP Description:The following analytic detects exploitation of Ghostscript causing command execution.
This can be used by attackers to abuse file conversion services or embedded LibreOffice documents. Data_source:
-Sysmon for Linux EventID 1
search:| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime
from datamodel=Endpoint.Processes where
Processes.parent_process_path IN ( "*/gs", "*/ghostscript" ) Processes.process="*sh -c*"
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 use of Ghostscript for document processing or file conversion tasks may trigger this rule. Filter based on known authorized applications that rely on Ghostscript for routine document handling. References: -https://www.bleepingcomputer.com/news/security/rce-bug-in-widely-used-ghostscript-library-now-exploited-in-attacks/ -https://codeanlabs.com/blog/research/cve-2024-29510-ghostscript-format-string-exploitation/ 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:['Linux Post-Exploitation', 'Unusual Processes', 'Suspicious Command-Line Executions', 'Linux Living Off The Land']
