- Supported architectures
- Enable operational container scanning
- OCS vulnerability resolution for multi cluster configuration
- Configure scanner resource requirements
- Custom repository for Trivy K8s Wrapper
- View cluster vulnerabilities
- Scanning private images
- Limitations
- Troubleshooting
Operational container scanning
- Deprecated the starboard directive in GitLab 15.4. The starboard directive is scheduled for removal in GitLab 16.0.
Supported architectures
In GitLab agent for Kubernetes 16.10.0 and later and GitLab agent Helm Chart 1.25.0 and later, operational container scanning (OCS) is supported for linux/arm64
and linux/amd64
. For earlier versions, only linux/amd64
is supported.
Enable operational container scanning
You can use OCS to scan container images in your cluster for security vulnerabilities. In GitLab agent 16.9 and later, OCS uses a wrapper image around Trivy to scan images for vulnerabilities. Before GitLab 16.9, OCS directly used the Trivy image.
OCS can be configured to run on a cadence by using agent config
or a project’s scan execution policy.
agent config
and scan execution policies
are configured, the configuration from scan execution policy
takes precedence.Enable via agent configuration
To enable scanning of images within your Kubernetes cluster via the agent configuration, add a container_scanning
configuration block to your agent
configuration with a cadence
field containing a CRON expression for when the scans are run.
container_scanning:
cadence: '0 0 * * *' # Daily at 00:00 (Kubernetes cluster time)
The cadence
field is required. GitLab supports the following types of CRON syntax for the cadence field:
- A daily cadence of once per hour at a specified hour, for example:
0 18 * * *
- A weekly cadence of once per week on a specified day and at a specified hour, for example:
0 13 * * 0
By default, operational container scanning does not scan any workloads for vulnerabilities.
You can set the vulnerability_report
block with the namespaces
field which can be used to select which namespaces are scanned. For example,
if you would like to scan only the default
, kube-system
namespaces, you can use this configuration:
container_scanning:
cadence: '0 0 * * *'
vulnerability_report:
namespaces:
- default
- kube-system
For every target namespace, all images in the following workload resources are scanned:
- Pod
- ReplicaSet
- ReplicationController
- StatefulSet
- DaemonSet
- CronJob
- Job
Enable via scan execution policies
To enable scanning of images in your Kubernetes cluster by using scan execution policies, use the scan execution policy editor to create a new schedule rule.
Here is an example of a policy which enables operational container scanning within the cluster the Kubernetes agent is attached to:
- name: Enforce Container Scanning in cluster connected through my-gitlab-agent for default and kube-system namespaces
enabled: true
rules:
- type: schedule
cadence: '0 10 * * *'
agents:
<agent-name>:
namespaces:
- 'default'
- 'kube-system'
actions:
- scan: container_scanning
The keys for a schedule rule are:
-
cadence
(required): a CRON expression for when the scans are run -
agents:<agent-name>
(required): The name of the agent to use for scanning -
agents:<agent-name>:namespaces
(required): The Kubernetes namespaces to scan.
You can view the complete schema within the scan execution policy documentation.
OCS vulnerability resolution for multi cluster configuration
To ensure accurate vulnerability tracking with OCS, you should create a separate GitLab project with OCS enabled for each cluster. If you have multiple clusters, be sure to use one project for each cluster.
OCS resolves vulnerabilities that are no longer found in your cluster after each scan by comparing the current scan vulnerabilities with those previously detected. Any vulnerabilities from earlier scans that are no longer present in the current scan are resolved for the GitLab project.
If multiple clusters are configured in the same project, an OCS scan in one cluster (for example, Project A) would resolve previously detected vulnerabilities from another cluster (for example, Project B), leading to incorrect vulnerability reporting.
Configure scanner resource requirements
By default the scanner pod’s default resource requirements are:
requests:
cpu: 100m
memory: 100Mi
limits:
cpu: 500m
memory: 500Mi
You can customize it with a resource_requirements
field.
container_scanning:
resource_requirements:
requests:
cpu: '0.2'
memory: 200Mi
limits:
cpu: '0.7'
memory: 700Mi
When using a fractional value for CPU, format the value as a string.
Operational Container Scanning
through scan execution policies
, you would need to define the resource requirements within the agent configuration file.Custom repository for Trivy K8s Wrapper
During a scan, OCS deploys pods using an image from the Trivy K8s Wrapper repository, which transmits the vulnerability report generated by Trivy Kubernetes to OCS.
If your cluster’s firewall restricts access to the Trivy K8s Wrapper repository, you can configure OCS to pull the image from a custom repository. Ensure that the custom repository mirrors the Trivy K8s Wrapper repository for compatibility.
container_scanning:
trivy_k8s_wrapper_image:
repository: "your-custom-registry/your-image-path"
View cluster vulnerabilities
To view vulnerability information in GitLab:
- On the left sidebar, select Search or go to and find the project that contains the agent configuration file.
- Select Operate > Kubernetes clusters.
- Select the Agent tab.
- Select an agent to view the cluster vulnerabilities.
This information can also be found under operational vulnerabilities.
Scanning private images
- Introduced in GitLab 16.4.
To scan private images, the scanner relies on the image pull secrets (direct references and from the service account) to pull the image.
Limitations
In GitLab agent 16.9 and later, operational container scanning:
- handles Trivy reports of up to 100MB. For previous releases this limit is 10MB.
- is disabled when the GitLab agent runs in
fips
mode.
Troubleshooting
Error running Trivy scan. Container terminated reason: OOMKilled
OCS might fail with an OOM error if there are too many resources to be scanned or if the images being scanned are large. To resolve this, configure the resource requirement to increase the amount of memory available.