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- Update CI/CD workflow to use specific Trivy version and change output format for vulnerability results. - Add fallback npm audit step in case Trivy scan fails. - Create a new security scan workflow that runs on push and pull request events, including scheduled scans. - Introduce a security scan script to perform npm audit, Trivy scans, and check for potential secrets in the codebase. - Ensure results are uploaded as artifacts for review and maintain retention policies for scan results.
146 lines
3.6 KiB
YAML
146 lines
3.6 KiB
YAML
name: CI/CD Pipeline
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on:
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push:
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branches: [ main, production ]
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pull_request:
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branches: [ main, production ]
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env:
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NODE_VERSION: '20'
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DOCKER_IMAGE: portfolio-app
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CONTAINER_NAME: portfolio-app
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Setup Node.js
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uses: actions/setup-node@v4
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with:
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node-version: ${{ env.NODE_VERSION }}
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cache: 'npm'
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- name: Install dependencies
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run: npm ci
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- name: Run linting
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run: npm run lint
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- name: Run tests
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run: npm run test
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- name: Build application
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run: npm run build
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security:
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runs-on: ubuntu-latest
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needs: test
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Run Trivy vulnerability scanner
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uses: aquasecurity/trivy-action@0.30.0
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with:
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scan-type: 'fs'
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scan-ref: '.'
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format: 'table'
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output: 'trivy-results.txt'
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timeout: '10m'
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ignore-unfixed: true
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severity: 'CRITICAL,HIGH'
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continue-on-error: true
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- name: Run npm audit as fallback
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if: failure()
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run: |
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echo "Trivy failed, running npm audit as fallback..."
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npm audit --audit-level=high || true
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echo "Security scan completed with fallback method"
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- name: Upload Trivy scan results
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uses: actions/upload-artifact@v4
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if: always()
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with:
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name: trivy-results
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path: trivy-results.txt
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retention-days: 7
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build:
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runs-on: ubuntu-latest
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needs: test
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if: github.ref == 'refs/heads/production'
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Build Docker image
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run: |
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docker build -t ${{ env.DOCKER_IMAGE }}:latest .
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docker tag ${{ env.DOCKER_IMAGE }}:latest ${{ env.DOCKER_IMAGE }}:$(date +%Y%m%d-%H%M%S)
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- name: Save Docker image
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run: |
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docker save ${{ env.DOCKER_IMAGE }}:latest | gzip > ${{ env.DOCKER_IMAGE }}.tar.gz
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- name: Upload Docker image artifact
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uses: actions/upload-artifact@v4
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with:
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name: docker-image
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path: ${{ env.DOCKER_IMAGE }}.tar.gz
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retention-days: 7
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deploy:
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runs-on: ubuntu-latest
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needs: build
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if: github.ref == 'refs/heads/production'
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Download Docker image artifact
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uses: actions/download-artifact@v4
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with:
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name: docker-image
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path: ./
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- name: Load Docker image
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run: |
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gunzip -c ${{ env.DOCKER_IMAGE }}.tar.gz | docker load
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- name: Stop existing container
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run: |
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docker stop ${{ env.CONTAINER_NAME }} || true
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docker rm ${{ env.CONTAINER_NAME }} || true
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- name: Start new container
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run: |
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docker run -d \
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--name ${{ env.CONTAINER_NAME }} \
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--restart unless-stopped \
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-p 3000:3000 \
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-e NODE_ENV=production \
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${{ env.DOCKER_IMAGE }}:latest
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- name: Wait for container to be ready
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run: |
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sleep 10
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timeout 60 bash -c 'until curl -f http://localhost:3000/api/health; do sleep 2; done'
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- name: Health check
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run: |
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curl -f http://localhost:3000/api/health
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echo "✅ Deployment successful!"
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- name: Cleanup old images
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run: |
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docker image prune -f
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docker system prune -f
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