trivy open source analysis
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
Project overview
⭐ 30010 · Go · Last activity on GitHub: 2025-11-27
Why it matters for engineering teams
Trivy addresses the critical need for identifying security vulnerabilities, misconfigurations, and exposed secrets across containers, Kubernetes environments, and infrastructure-as-code repositories. It provides software engineers with a practical, production ready solution to maintain security hygiene and compliance in complex cloud-native setups. This open source tool for engineering teams is particularly suited to DevSecOps engineers, security analysts, and platform engineers who require reliable vulnerability detection integrated into their CI/CD pipelines. Trivy has matured into a stable and widely adopted scanner with a strong community backing, making it dependable for production use. However, it may not be the best choice for teams seeking highly customisable scanning engines or those focused exclusively on application-level static code analysis, as its primary strength lies in infrastructure and container security scanning.
When to use this project
Trivy is a strong choice when you need a straightforward, self hosted option for container and infrastructure vulnerability scanning integrated with your existing workflows. Teams should consider alternatives if their focus is on deep application security testing or if they require extensive custom rules beyond what Trivy offers out of the box.
Team fit and typical use cases
DevSecOps engineers and platform teams benefit most from Trivy by using it to automatically scan container images and Kubernetes configurations during build and deployment stages. Security teams leverage it to detect misconfigurations and secrets across infrastructure code repositories. It commonly appears in cloud native products and microservices architectures where continuous vulnerability detection is essential to maintain secure production environments.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-27. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.