scanning-docker-images-with-trivy

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/scanning-docker-images-with-trivy
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summary

Trivy is a comprehensive open-source vulnerability scanner by Aqua Security that detects vulnerabilities in OS packages, language-specific dependencies, misconfigurations, secrets, and license violati

skill.md
name
scanning-docker-images-with-trivy
description
Trivy is a comprehensive open-source vulnerability scanner by Aqua Security that detects vulnerabilities in OS packages, language-specific dependencies, misconfigurations, secrets, and license violati
domain
cybersecurity
subdomain
container-security
tags
- containers - docker - security - trivy - vulnerability-scanning
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01

Scanning Docker Images with Trivy

Overview

Trivy is a comprehensive open-source vulnerability scanner by Aqua Security that detects vulnerabilities in OS packages, language-specific dependencies, misconfigurations, secrets, and license violations within container images. It integrates into CI/CD pipelines and supports multiple output formats including SARIF, CycloneDX, and SPDX.

When to Use

  • When conducting security assessments that involve scanning docker images 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

Prerequisites

  • Docker Engine 20.10+
  • Trivy v0.50+ installed
  • Internet access for vulnerability database updates
  • Container registry credentials (for private registries)

Core Concepts

Scanner Types

ScannerFlagDetects
Vulnerability--scanners vulnCVEs in OS packages and libraries
Misconfiguration--scanners misconfigDockerfile/K8s manifest misconfigs
Secret--scanners secretHardcoded passwords, API keys, tokens
License--scanners licenseSoftware license compliance issues

Severity Levels

  • CRITICAL: CVSS 9.0-10.0 - Immediate action required
  • HIGH: CVSS 7.0-8.9 - Fix before production deployment
  • MEDIUM: CVSS 4.0-6.9 - Plan remediation
  • LOW: CVSS 0.1-3.9 - Accept or fix opportunistically
  • UNKNOWN: Unscored - Evaluate manually

Vulnerability Database

Trivy uses multiple vulnerability databases:

  • NVD (National Vulnerability Database)
  • Red Hat Security Data
  • Alpine SecDB
  • Debian Security Tracker
  • Ubuntu CVE Tracker
  • Amazon Linux Security Center
  • GitHub Advisory Database

Workflow

Step 1: Install Trivy

# Linux (apt)
sudo apt-get install wget apt-transport-https gnupg lsb-release
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | gpg --dearmor | sudo tee /usr/share/keyrings/trivy.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/trivy.gpg] https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main" | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update && sudo apt-get install trivy

# macOS
brew install trivy

# Docker
docker pull aquasecurity/trivy:latest

Step 2: Basic Image Scanning

# Scan a public image
trivy image python:3.12-slim

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

# Ignore unfixed vulnerabilities
trivy image --ignore-unfixed alpine:3.19

# Scan local image
docker build -t myapp:latest .
trivy image myapp:latest

# Scan from tar archive
docker save myapp:latest -o myapp.tar
trivy image --input myapp.tar

Step 3: Advanced Scanning Options

# All scanners (vuln + misconfig + secret + license)
trivy image --scanners vuln,misconfig,secret,license myapp:latest

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

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

# JSON output for programmatic processing
trivy image --format json --output results.json myapp:latest

# SARIF output for GitHub Security tab
trivy image --format sarif --output results.sarif myapp:latest

# Template-based output
trivy image --format template --template "@contrib/html.tpl" --output report.html myapp:latest

# Scan specific layers only
trivy image --list-all-pkgs myapp:latest

Step 4: Scanning Kubernetes Manifests

# Scan Dockerfile for misconfigurations
trivy config Dockerfile

# Scan Kubernetes manifests
trivy config k8s-deployment.yaml

# Scan Helm charts
trivy config ./helm-chart/

# Scan Terraform files
trivy config ./terraform/

Step 5: CI/CD Integration

# GitHub Actions
name: Trivy Container Scan
on: push

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

      - name: Build 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
        uses: github/codeql-action/upload-sarif@v3
        if: always()
        with:
          sarif_file: trivy-results.sarif

      - name: Generate SBOM
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: myapp:${{ github.sha }}
          format: cyclonedx
          output: sbom.cdx.json
# GitLab CI
trivy-scan:
  stage: security
  image:
    name: aquasecurity/trivy:latest
    entrypoint: [""]
  script:
    - trivy image --exit-code 1 --severity CRITICAL,HIGH
        --format json --output gl-container-scanning-report.json
        $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
  artifacts:
    reports:
      container_scanning: gl-container-scanning-report.json

Step 6: Policy Enforcement with .trivyignore

# .trivyignore - Ignore specific CVEs with expiry
# Accepted risk: low-impact vulnerability in dev dependency
CVE-2023-12345 exp:2025-06-01

# False positive: not exploitable in our configuration
CVE-2024-67890

# Vendor will not fix
CVE-2023-11111

Step 7: Scan Private Registry Images

# Docker Hub (uses ~/.docker/config.json)
trivy image myregistry.azurecr.io/myapp:latest

# ECR
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <account>.dkr.ecr.us-east-1.amazonaws.com
trivy image <account>.dkr.ecr.us-east-1.amazonaws.com/myapp:latest

# GCR
trivy image gcr.io/my-project/myapp:latest

# With explicit credentials
TRIVY_USERNAME=user TRIVY_PASSWORD=pass trivy image registry.example.com/myapp:latest

Validation Commands

# Verify Trivy installation
trivy version

# Update vulnerability database
trivy image --download-db-only

# Quick scan with table output
trivy image --severity CRITICAL python:3.12

# Verify no CRITICAL vulnerabilities
trivy image --exit-code 1 --severity CRITICAL myapp:latest
echo "Exit code: $?"  # 0 = no vulns, 1 = vulns found

References

how to use scanning-docker-images-with-trivy

How to use scanning-docker-images-with-trivy on Cursor

AI-first code editor with Composer

1

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 scanning-docker-images-with-trivy
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/scanning-docker-images-with-trivy

The skills CLI fetches scanning-docker-images-with-trivy from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/scanning-docker-images-with-trivy

Reload or restart Cursor to activate scanning-docker-images-with-trivy. Access the skill through slash commands (e.g., /scanning-docker-images-with-trivy) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.675 reviews
  • Isabella Harris· Dec 24, 2024

    scanning-docker-images-with-trivy reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amina Farah· Dec 20, 2024

    I recommend scanning-docker-images-with-trivy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kofi Sethi· Dec 8, 2024

    Solid pick for teams standardizing on skills: scanning-docker-images-with-trivy is focused, and the summary matches what you get after install.

  • Neel Flores· Dec 8, 2024

    Keeps context tight: scanning-docker-images-with-trivy is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Isabella Garcia· Nov 27, 2024

    We added scanning-docker-images-with-trivy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Nia Iyer· Nov 23, 2024

    scanning-docker-images-with-trivy reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Camila Zhang· Nov 15, 2024

    I recommend scanning-docker-images-with-trivy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Diallo· Nov 11, 2024

    scanning-docker-images-with-trivy reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Fatima Rahman· Oct 18, 2024

    scanning-docker-images-with-trivy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Gill· Oct 6, 2024

    Useful defaults in scanning-docker-images-with-trivy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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