securing-container-registry-images▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Securing container registry images by implementing vulnerability scanning with Trivy and Grype, enforcing image signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that prevent deploying unscanned or unsigned images.
| name | securing-container-registry-images |
| description | 'Securing container registry images by implementing vulnerability scanning with Trivy and Grype, enforcing image signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that prevent deploying unscanned or unsigned images. ' |
| domain | cybersecurity |
| subdomain | cloud-security |
| tags | - cloud-security - containers - registry - image-scanning - trivy - cosign - supply-chain |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01 |
Securing Container Registry Images
When to Use
- When establishing security controls for container image registries (ECR, ACR, GCR, Docker Hub)
- When building CI/CD pipelines that enforce vulnerability scanning before image promotion
- When implementing image signing and verification to prevent supply chain attacks
- When auditing existing registries for vulnerable, unscanned, or unsigned images
- When compliance requires software bill of materials (SBOM) for deployed container images
Do not use for runtime container security (use Falco or Sysdig), for Kubernetes admission control (use OPA Gatekeeper or Kyverno after establishing registry controls), or for host-level vulnerability scanning (use Amazon Inspector or Qualys).
Prerequisites
- Trivy installed (
brew install trivyorapt install trivy) - Grype installed (
curl -sSfL https://raw.githubusercontent.com/anchore/grype/main/install.sh | sh) - Cosign installed for image signing (
go install github.com/sigstore/cosign/v2/cmd/cosign@latest) - Syft installed for SBOM generation (
curl -sSfL https://raw.githubusercontent.com/anchore/syft/main/install.sh | sh) - Container registry access (ECR, ACR, GCR, or private registry)
Workflow
Step 1: Scan Images for Vulnerabilities with Trivy
Run comprehensive vulnerability scans against container images before and after pushing to the registry.
# Scan a local image for vulnerabilities
trivy image --severity HIGH,CRITICAL myapp:latest
# Scan a remote registry image
trivy image --severity HIGH,CRITICAL 123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Scan with JSON output for CI/CD processing
trivy image --format json --output trivy-results.json myapp:latest
# Scan for vulnerabilities AND misconfigurations
trivy image --scanners vuln,misconfig,secret myapp:latest
# Scan a specific image with SBOM output
trivy image --format spdx-json --output sbom.json myapp:latest
# Fail CI/CD if critical vulnerabilities found
trivy image --exit-code 1 --severity CRITICAL myapp:latest
Step 2: Scan with Grype for Additional Coverage
Use Grype as a complementary scanner for broader vulnerability database coverage.
# Scan image with Grype
grype myapp:latest
# Scan with severity threshold
grype myapp:latest --fail-on critical
# Output in JSON for processing
grype myapp:latest -o json > grype-results.json
# Scan an SBOM instead of the image directly
syft myapp:latest -o spdx-json > sbom.json
grype sbom:sbom.json
# Scan a directory-based image export
grype dir:/path/to/image-rootfs
Step 3: Generate Software Bill of Materials (SBOM)
Create SBOMs for all images to maintain an inventory of software components and dependencies.
# Generate SBOM with Syft in SPDX format
syft myapp:latest -o spdx-json > sbom-spdx.json
# Generate SBOM in CycloneDX format
syft myapp:latest -o cyclonedx-json > sbom-cyclonedx.json
# Attach SBOM to the image as an OCI artifact
cosign attach sbom --sbom sbom-spdx.json \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Verify SBOM contents
syft myapp:latest -o table | head -50
Step 4: Sign Images with Cosign and Sigstore
Implement image signing to ensure image integrity and authenticity in the supply chain.
# Generate a key pair for signing
cosign generate-key-pair
# Sign an image in the registry
cosign sign --key cosign.key \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Sign using keyless signing with Sigstore (OIDC-based)
cosign sign --yes \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Verify image signature
cosign verify --key cosign.pub \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Verify keyless signature
cosign verify \
--certificate-identity [email protected] \
--certificate-oidc-issuer https://accounts.google.com \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
# Add attestation with scan results
cosign attest --predicate trivy-results.json \
--key cosign.key \
123456789012.dkr.ecr.us-east-1.amazonaws.com/myapp:latest
Step 5: Configure Registry-Level Security Controls
Set up registry-specific security features for ECR, ACR, and GCR.
# AWS ECR: Enable image scanning on push
aws ecr put-image-scanning-configuration \
--repository-name myapp \
--image-scanning-configuration scanOnPush=true
# ECR: Set image tag immutability (prevent tag overwrites)
aws ecr put-image-tag-mutability \
--repository-name myapp \
--image-tag-mutability IMMUTABLE
# ECR: Set lifecycle policy to clean up untagged images
aws ecr put-lifecycle-policy \
--repository-name myapp \
--lifecycle-policy-text '{
"rules": [{
"rulePriority": 1,
"description": "Remove untagged images after 7 days",
"selection": {"tagStatus": "untagged", "countType": "sinceImagePushed", "countUnit": "days", "countNumber": 7},
"action": {"type": "expire"}
}]
}'
# ECR: Get scan findings for an image
aws ecr describe-image-scan-findings \
--repository-name myapp \
--image-id imageTag=latest \
--query 'imageScanFindings.findingSeverityCounts'
# Azure ACR: Enable Defender for container registries
az security pricing create --name ContainerRegistry --tier standard
# GCR: Enable Container Analysis
gcloud services enable containeranalysis.googleapis.com
gcloud artifacts docker images list-vulnerabilities \
LOCATION-docker.pkg.dev/PROJECT/REPO/IMAGE@sha256:DIGEST
Step 6: Build CI/CD Pipeline with Security Gates
Integrate scanning and signing into the CI/CD pipeline as mandatory gates.
# GitHub Actions: Scan, sign, and push image
name: Container Security Pipeline
on: push
jobs:
build-scan-sign:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build image
run: docker build -t myapp:${{ github.sha }} .
- name: Trivy vulnerability scan
uses: aquasecurity/trivy-action@master
with:
image-ref: myapp:${{ github.sha }}
format: json
output: trivy-results.json
severity: CRITICAL,HIGH
exit-code: 1
- name: Generate SBOM
run: syft myapp:${{ github.sha }} -o spdx-json > sbom.json
- name: Push to ECR
run: |
aws ecr get-login-password | docker login --username AWS --password-stdin $ECR_REGISTRY
docker tag myapp:${{ github.sha }} $ECR_REGISTRY/myapp:${{ github.sha }}
docker push $ECR_REGISTRY/myapp:${{ github.sha }}
- name: Sign image with Cosign
run: |
cosign sign --key env://COSIGN_PRIVATE_KEY \
$ECR_REGISTRY/myapp:${{ github.sha }}
- name: Attach SBOM
run: |
cosign attach sbom --sbom sbom.json \
$ECR_REGISTRY/myapp:${{ github.sha }}
Key Concepts
| Term | Definition |
|---|---|
| Container Image Scanning | Automated analysis of container image layers to identify known vulnerabilities in OS packages and application dependencies |
| Image Signing | Cryptographic attestation that verifies the authenticity and integrity of a container image using Cosign or Notation |
| SBOM | Software Bill of Materials, a comprehensive inventory of software components, libraries, and dependencies in a container image |
| Tag Immutability | Registry setting that prevents overwriting existing image tags, ensuring that a tag always refers to the same image digest |
| Sigstore | Open-source project providing keyless signing, transparency logs, and verification tooling for software supply chain security |
| Image Attestation | Cryptographically signed metadata attached to an image (scan results, SBOM, build provenance) that can be verified before deployment |
Tools & Systems
- Trivy: Comprehensive vulnerability scanner for container images, filesystems, git repos, and Kubernetes resources
- Grype: Anchore's vulnerability scanner with broad vulnerability database coverage for container images and SBOMs
- Cosign: Sigstore tool for signing, verifying, and attesting container images with key-based or keyless workflows
- Syft: SBOM generation tool supporting SPDX and CycloneDX formats for container images and filesystems
- AWS ECR: Container registry with built-in scanning, tag immutability, and lifecycle policies
Common Scenarios
Scenario: Implementing a Secure Image Promotion Pipeline
Context: A development team pushes images to a dev registry without security controls. The security team needs to implement a promotion pipeline that scans, signs, and promotes only approved images to the production registry.
Approach:
- Configure ECR scanning on push for the development repository
- Add Trivy scanning as a CI/CD gate that blocks images with CRITICAL vulnerabilities
- Generate SBOMs with Syft and store alongside image scan results
- Sign approved images with Cosign after scanning passes
- Configure the production registry to require image signatures for all pushes
- Set up Kyverno or OPA Gatekeeper in production Kubernetes to verify signatures before pod creation
- Implement lifecycle policies to clean up untagged and old images in both registries
Pitfalls: Vulnerability databases are updated constantly. An image that passes scanning today may have new CRITICAL vulnerabilities discovered tomorrow. Implement continuous scanning of already-deployed images, not just at build time. Image signing keys must be securely stored in KMS or Vault, not in CI/CD environment variables.
Output Format
Container Registry Security Report
=====================================
Registry: 123456789012.dkr.ecr.us-east-1.amazonaws.com
Repositories: 24
Report Date: 2026-02-23
IMAGE INVENTORY:
Total images: 342
Images scanned: 298 (87%)
Images signed: 156 (46%)
Images with SBOM: 134 (39%)
VULNERABILITY SUMMARY:
Critical vulnerabilities: 23 (across 8 images)
High vulnerabilities: 145 (across 34 images)
Medium vulnerabilities: 456 (across 67 images)
Images with no vulns: 89
CRITICAL IMAGES REQUIRING REMEDIATION:
myapp:1.2.3 - 5 CRITICAL (CVE-2026-xxxx in openssl)
api-gateway:2.0.1 - 3 CRITICAL (CVE-2026-yyyy in log4j)
worker:latest - 4 CRITICAL (CVE-2026-zzzz in glibc)
REGISTRY CONFIGURATION:
Scan on push enabled: 18 / 24 repositories
Tag immutability: 12 / 24 repositories
Lifecycle policies: 20 / 24 repositories
Image signing enforced: 8 / 24 repositories
How to use securing-container-registry-images on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add securing-container-registry-images
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches securing-container-registry-images from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate securing-container-registry-images. Access the skill through slash commands (e.g., /securing-container-registry-images) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
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Ratings
4.5★★★★★46 reviews- ★★★★★Aisha Dixit· Dec 20, 2024
securing-container-registry-images is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Omar Flores· Dec 12, 2024
I recommend securing-container-registry-images for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zaid Li· Nov 11, 2024
Useful defaults in securing-container-registry-images — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★William Malhotra· Nov 11, 2024
securing-container-registry-images has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yash Thakker· Nov 7, 2024
securing-container-registry-images is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Choi· Nov 3, 2024
Keeps context tight: securing-container-registry-images is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Dhruvi Jain· Oct 26, 2024
Keeps context tight: securing-container-registry-images is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noor Taylor· Oct 22, 2024
securing-container-registry-images is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Naina Desai· Oct 2, 2024
I recommend securing-container-registry-images for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kabir Smith· Oct 2, 2024
Solid pick for teams standardizing on skills: securing-container-registry-images is focused, and the summary matches what you get after install.
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