Name:Linux Docker Shell Execution id:03b2b286-fa86-4ec9-b1a1-ec19d314bdf7 version:4 date:None author:Gowthamaraj Rajendran, Splunk, Emil Elsetrønning status:production type:Anomaly Description:This detection identifies shell execution activity associated with Docker containers on Linux systems.
Specifically, it monitors for interactive or non-interactive shell processes (e.g., `/bin/bash`, `/bin/sh`, `/bin/zsh`) launched via Docker commands such as `docker exec`, or through container entrypoint overrides.
Shell execution inside a container may indicate administrative troubleshooting activity.
However, it can also represent post-exploitation behavior, where an attacker gains access to a container and spawns a shell to execute arbitrary commands, establish persistence, or pivot to the host.
Data_source:
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:False positives are present based on automated tooling or system administrative usage. Filter as needed.
References: -https://docs.docker.com/reference/cli/docker/container/exec/ -https://gtfobins.github.io/gtfobins/docker/ drilldown_searches: name:'View the detection results for - "$dest$"' search:'%original_detection_search% | search dest = "$dest$"' earliest_offset:'$info_min_time$' latest_offset:'$info_max_time$' name:'View risk events for the last 7 days for - "$dest$"' search:'| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") | 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 Privilege Escalation', 'Linux Living Off The Land']