Implementing Aqua Security for Container Scanning

Overview

Aqua Security provides Trivy, the world's most popular open-source universal security scanner, designed to find vulnerabilities, misconfigurations, secrets, SBOM data, and license issues in containers, Kubernetes, code repositories, and cloud environments. Trivy covers OS packages (Alpine, Debian, Ubuntu, RHEL, etc.) and language-specific dependencies (npm, pip, Maven, Go modules, Cargo, etc.) with vulnerability databases sourced from NVD, vendor advisories, and GitHub Security Advisories. The enterprise Aqua Platform extends Trivy with centralized policy management, runtime protection, and compliance reporting.

When to Use

• When deploying or configuring implementing aqua security for container scanning capabilities in your environment
• When establishing security controls aligned to compliance requirements
• When building or improving security architecture for this domain
• When conducting security assessments that require this implementation

Prerequisites

• Docker installed for local image scanning
• CI/CD platform (GitHub Actions, GitLab CI, Jenkins, etc.)
• Container registry access (Docker Hub, ECR, GCR, ACR, Harbor)
• Trivy CLI (trivy) or Trivy Operator for Kubernetes
• Aqua Platform license for enterprise features (optional)

Core Scanning Capabilities

Image Vulnerability Scanning

Trivy scans container images layer by layer, identifying CVEs in OS packages and application dependencies. It supports scanning local images, remote registry images, and tar archives.

# Scan a remote image
trivy image python:3.11-slim

# Scan with severity filter
trivy image --severity HIGH,CRITICAL nginx:latest

# Scan and fail CI if critical CVEs found
trivy image --exit-code 1 --severity CRITICAL myapp:latest

# Generate SBOM in CycloneDX format
trivy image --format cyclonedx --output sbom.json myapp:latest

Filesystem and Repository Scanning

# Scan project directory for vulnerabilities in dependencies
trivy fs --scanners vuln,secret,misconfig .

# Scan a specific lockfile
trivy fs --scanners vuln package-lock.json

# Scan git repository
trivy repo https://github.com/org/project

Kubernetes Scanning with Trivy Operator

The Trivy Operator runs inside a Kubernetes cluster and continuously scans workloads:

# Install Trivy Operator via Helm
helm repo add aqua https://aquasecurity.github.io/helm-charts/
helm repo update
helm install trivy-operator aqua/trivy-operator \
  --namespace trivy-system \
  --create-namespace \
  --set trivy.severity="HIGH,CRITICAL" \
  --set operator.scanJobTimeout="5m"

The operator creates VulnerabilityReport and ConfigAuditReport custom resources for each workload.

IaC Misconfiguration Scanning

# Scan Terraform files
trivy config --severity HIGH,CRITICAL ./terraform/

# Scan Dockerfile for misconfigurations
trivy config Dockerfile

# Scan Kubernetes manifests
trivy config ./k8s-manifests/

CI/CD Integration

GitHub Actions

name: Container Security Scan
on:
  push:
    branches: [main]
  pull_request:

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Build Docker image
        run: docker build -t myapp:${{ github.sha }} .

      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: 'myapp:${{ github.sha }}'
          format: 'sarif'
          output: 'trivy-results.sarif'
          severity: 'CRITICAL,HIGH'
          exit-code: '1'

      - name: Upload Trivy scan results to GitHub Security tab
        uses: github/codeql-action/upload-sarif@v3
        if: always()
        with:
          sarif_file: 'trivy-results.sarif'

GitLab CI

container_scanning:
  stage: security
  image:
    name: aquasec/trivy:latest
    entrypoint: [""]
  variables:
    FULL_IMAGE_NAME: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA
  script:
    - trivy image --exit-code 0 --format template --template "@/contrib/gitlab.tpl"
      --output gl-container-scanning-report.json $FULL_IMAGE_NAME
    - trivy image --exit-code 1 --severity CRITICAL $FULL_IMAGE_NAME
  artifacts:
    reports:
      container_scanning: gl-container-scanning-report.json

Jenkins Pipeline

pipeline {
    agent any
    stages {
        stage('Build') {
            steps {
                sh 'docker build -t myapp:${BUILD_NUMBER} .'
            }

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