Performing Container Security Scanning with Trivy
Overview
Trivy is an open-source security scanner by Aqua Security that detects vulnerabilities in OS packages and language-specific dependencies, infrastructure-as-code misconfigurations, exposed secrets, and software license issues across container images, filesystems, Git repositories, and Kubernetes clusters. Trivy generates Software Bill of Materials (SBOM) in CycloneDX and SPDX formats for supply chain transparency. This skill covers comprehensive container image scanning, CI/CD pipeline integration, Kubernetes operator deployment, and scan result triage for security operations.
When to Use
- When conducting security assessments that involve performing container security scanning with trivy
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Coverage Gaps & Validation
A green Trivy run often means "found nothing where it looked", not "image is clean". Know what the defaults skip:
- Single scanner enabled: plain
trivy imagerunsvulnonly - misconfigs, hardcoded secrets, and license issues are silently uncovered. Use--scanners vuln,misconfig,secret,licensewhen you mean a full audit. --severity/--ignore-unfixedhide real risk: filtering toCRITICAL,HIGHdrops exploitable MEDIUMs, and--ignore-unfixedhides CVEs with no patch yet (still exploitable). Report what was filtered.- App dependencies vs OS packages: Trivy finds language libs only if the lockfile/manifest is in the image; vendored or statically linked deps and binaries built
FROM scratch/distroless can yield few or zero results - a false sense of safety. - Layer scope and image drift: default
--scope squashedmisses secrets in intermediate layers (useall-layers); and the scanned image tag can differ from what's actually running in the cluster.
Validate completeness: confirm the DB is current (trivy image --download-db-only / check --cache-dir age) - a stale DB misses new CVEs. Re-run with all scanners and no severity filter to gauge true counts, diff against the previously deployed digest, and for distroless images cross-check with an SBOM (--format cyclonedx) so you know which components were actually enumerated rather than skipped.
Prerequisites
- Trivy v0.50+ installed (binary, Docker, or Homebrew)
- Docker daemon access for local image scanning
- Container registry credentials for remote image scanning
- CI/CD platform (GitHub Actions, GitLab CI, Jenkins) for pipeline integration
- Kubernetes cluster for Trivy Operator deployment (optional)
Steps
Step 1: Scan Container Images
Run vulnerability and secret scanning against container images from local builds or remote registries. Configure severity thresholds and ignore unfixed vulnerabilities.
Step 2: Generate SBOM
Produce CycloneDX or SPDX SBOM documents from scanned images for supply chain compliance and vulnerability tracking across the software lifecycle.
Step 3: Scan IaC and Kubernetes Manifests
Detect misconfigurations in Dockerfiles, Kubernetes YAML, Terraform, and Helm charts using built-in policy checks aligned with CIS benchmarks.
Step 4: Integrate into CI/CD
Add Trivy scanning as a pipeline gate that blocks builds with critical/high vulnerabilities, generates SARIF reports for GitHub Advanced Security, and produces JUnit XML for test dashboards.
Expected Output
JSON/table report listing CVEs with severity, CVSS scores, fixed versions, affected packages, misconfiguration findings, and exposed secrets with file locations.