Name:Linux Suspicious Redis Activity id:098bbfa8-a591-44ab-9ec0-ae8ee82b4450 version:1 date:None author:Raven Tait, Splunk status:production type:TTP Description:The following analytic detects Redis processes spawning a system shell command. This can indicate exploitation activity of a redis server to gain code execution. 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_name IN ( "redis-sentinel", "redis-server" ) OR Processes.parent_process_path = "*/bin/redis*" )
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 administrative scripts or automated maintenance tasks may trigger this detection when managing Redis configurations or performing system operations. Filter based on known administrative activity and approved management tools. References: -https://thesecmaster.com/how-to-fix-cve-2022-0543-a-critical-lua-sandbox-escape-vulnerability-in-redis/ -https://www.bleepingcomputer.com/news/security/new-p2pinfect-worm-malware-targets-linux-and-windows-redis-servers/ 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', 'Compromised Linux Host', 'Linux Persistence Techniques', 'Linux Privilege Escalation', 'Linux Living Off The Land', 'Command And Control']
