Linux Docker Root Directory Mount
Description
This detection identifies Docker containers that mount the host's root directory into the container filesystem. Mounting the entire host root directory into a container effectively grants the container visibility and potential write access to all files on the host system. If the container is running as root or with elevated capabilities (e.g., --privileged), the risk is significantly increased.
Query · spl
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Processes where
Processes.process_name=docker*
Processes.process IN (
"* -v *",
"* --volume *"
)
Processes.process="* /:/*"
by Processes.action Processes.dest Processes.original_file_name
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)`
| `linux_docker_root_directory_mount_filter`
Implementation guide
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.
Analyst notes
Known false positives: False positives are present based on automated tooling or system administrative usage. Filter as needed.