The docker.socket file should be audited, if applicable
Set up the docker integration.
Description
Audit docker.socket, if applicable.
Rationale
As well as auditing the Linux file system and system calls, you should also audit the Docker daemon. Because this daemon runs with root privileges, it is very important to audit its activities and usage. Its behavior depends on some key files and directories, including the docker.socket file, which holds various parameters for the Docker daemon, it should be audited.
Audit
Locate the docker.socket file by running:
systemctl show -p FragmentPath docker.socket
If the file does not exist, this recommendation is not applicable. If the docker.socket file exists, verify that there is an audit rule corresponding to the docker.socket file by running:
auditctl -l | grep docker.socket
If the file exists, you should add a rule for it. For example, add the following line to a new file in /etc/audit/rules.d/. For instance, create a file named docker.rules:
echo "-w /usr/lib/systemd/system/docker.socket -k docker" > /etc/audit/rules.d/docker.rules
Then, reload the audit rules:
Next, restart the audit daemon using the following command:
Impact
Auditing can generate large log files. You should ensure that these are rotated and archived periodically. A separate partition should also be created for audit logs to avoid filling up any other critical partition.
Default value
By default, Docker-related files and directories are not audited. The file docker.socket may not be present, but if it is, it should be audited.
References
- https://access.redhat.com/documentation/en-US/Red_Hat_Enterprise_Linux/6/html/Security_Guide/chap-system_auditing.html
CIS controls
Version 6.14.6 Enforce Detailed Audit Logging For Sensitive Information - Enforce detailed audit logging for access to nonpublic data and special authentication for sensitive data.
Version 7.14.9 Enforce Detail Logging for Access or Changes to Sensitive Data - Enforce detailed audit logging for access to sensitive data or changes to sensitive data (utilizing tools such as File Integrity Monitoring or Security Information and Event Monitoring).
