Azure Container Registry (ACR) can store your container images, and Snyk can scan them for vulnerabilities. This integration lets you find and fix security issues in your container images before they are deployed.
Let’s see Snyk in action with ACR. Imagine you’ve pushed a new image to your Azure Container Registry named my-acr-repo/my-app:v1.0.
docker tag my-app:v1.0 myacr.azurecr.io/my-app:v1.0
docker push myacr.azurecr.io/my-app:v1.0
Now, you want Snyk to scan this image. You can configure Snyk to automatically scan images as they are pushed to ACR, or you can trigger a manual scan.
For an automatic integration, you’d typically set up a Snyk project linked to your ACR. This involves:
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Granting Snyk access to your ACR: This is usually done by creating a service principal in Azure Active Directory (Azure AD) that Snyk can use to authenticate with your ACR. The service principal needs
AcrPullpermissions on the registry.az ad sp create-for-rbac --name SnykACRScanner --role AcrPull --scopes /subscriptions/<your-subscription-id>/resourceGroups/<your-resource-group>/providers/Microsoft.ContainerRegistry/registries/<your-acr-name>This command outputs a JSON object containing the
appId(client ID),password(client secret), andtenantID. You’ll provide these credentials to Snyk. -
Configuring the Snyk integration: Within the Snyk web UI, you navigate to Integrations, select Azure Container Registry, and input your ACR details along with the service principal credentials. You can then specify which repositories and image tags Snyk should monitor.
Once configured, Snyk will periodically check your ACR for new or updated images. When it finds one it’s monitoring, it pulls the image, analyzes its layers, and identifies any known vulnerabilities in the operating system packages and application dependencies.
The results are displayed in the Snyk dashboard, showing a clear breakdown of vulnerabilities by severity, the affected packages, and recommended remediation steps, including updated package versions or base image recommendations.
The real power comes from understanding how Snyk works under the hood. Snyk doesn’t just look at the image manifest; it performs a deep analysis. For Linux-based images, it inspects the package manager’s database (e.g., dpkg for Debian/Ubuntu, rpm for Alpine/CentOS) to identify installed OS packages and their versions. For application dependencies, it analyzes files like package.json (Node.js), requirements.txt (Python), pom.xml (Java), etc., to map out the dependency tree. This granular analysis is what allows Snyk to pinpoint specific vulnerable components.
When Snyk finds a vulnerability, it doesn’t just tell you "this image is vulnerable." It tells you why. For example, it might report: "CVE-2023-12345 affects libc6 version 2.27-3ubuntu1.2 in your ubuntu:20.04 base image. Upgrade to 2.27-3ubuntu1.3 or later." This level of detail is crucial for effective remediation.
Consider an image built from ubuntu:20.04 that has a vulnerable version of openssl. Snyk will detect this by examining the installed openssl package. The remediation advice might be to rebuild your image using a newer base image, like ubuntu:22.04 (if it doesn’t contain the vulnerability) or a patched ubuntu:20.04 tag, or to update openssl directly within your Dockerfile if it’s managed by apt.
What most people don’t realize is that Snyk’s vulnerability database is continuously updated by a dedicated research team. They don’t just rely on publicly disclosed CVEs. They also identify vulnerabilities through their own research and often publish advisories before they are widely known, giving you an edge in proactive security. This proactive research means Snyk can often detect vulnerabilities that other scanners might miss because they haven’t yet been formally assigned a CVE or indexed by public vulnerability databases.
The next step is usually integrating these findings into your CI/CD pipeline to fail builds or prevent deployments of vulnerable images.