Implementing Aqua Security For Container Scanning

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

Trigger phrases:

• "implementing aqua security for container scanning"

• "Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfiguration"

• 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

This section covers core scanning capabilities for implementing aqua security for container scanning.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

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

This section covers ci/cd integration for implementing aqua security for container scanning.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

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:${BUILD_NUMBER} .'
            }
        }
        stage('Security Scan') {
            steps {
                sh '''
                    trivy image --exit-code 1 \
                      --severity HIGH,CRITICAL \
                      --format json \
                      --output trivy-report.json \
                      myapp:${BUILD_NUMBER}
                '''
            }
            post {
                always {
                    archiveArtifacts artifacts: 'trivy-report.json'
                }
            }
        }
    }
}

Policy Configuration

This section covers policy configuration for implementing aqua security for container scanning.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

Trivy Policy with OPA/Rego

Create .trivy/policy.rego for custom policy enforcement:

package trivy

deny[msg] {
    input.Results[_].Vulnerabilities[_].Severity == "CRITICAL"
    msg := "Critical vulnerabilities found in image"
}

deny[msg] {
    input.Results[_].Vulnerabilities[vuln]
    vuln.FixedVersion != ""
    vuln.Severity == "HIGH"
    msg := sprintf("Fixable HIGH vulnerability: %s", [vuln.VulnerabilityID])
}

Ignore File Configuration

Create .trivyignore for accepted risks:

# Accepted risk: vulnerability in test dependency only
CVE-2023-12345

# Accepted until expiry date
CVE-2024-67890 exp:2025-06-01

SBOM Generation and Management

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

# Generate SPDX SBOM
trivy image --format spdx-json --output sbom-spdx.json myapp:latest

# Scan an existing SBOM for new vulnerabilities
trivy sbom sbom-cyclonedx.json

Monitoring and Reporting

When NOT to Use

• You need to test the implementation (use performing-* skills)
• Task is about configuring existing tools (use configuring-* skills)
• You need to analyze security events (use analyzing-* skills)
• Task is about building detection rules (use building-* skills)
• You don't have access to the target environment
• Task requires vendor-specific expertise (consult vendor docs)

Red Flags

• Performing actions without explicit written authorization from the asset owner
• Testing against production systems without a defined scope and rules of engagement
• Modifying cloud IAM policies or security groups without approval
• Exposing cloud credentials or secrets in logs or reports
• Running scans that generate excessive API calls and trigger billing alerts

Verification

• All steps executed successfully against a test environment before production use
• Output documented with screenshots or logs demonstrating expected behavior
• Cloud resource changes reverted or documented as intentional
• IAM policies reviewed for least-privilege compliance after testing
• No residual test resources left running (cost and security check)

References

• Trivy Documentation
• Trivy GitHub Repository
• Trivy Operator for Kubernetes
• Aqua Security Platform
• CycloneDX SBOM Specification

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality

Anti-Rationalization Table