grype VS clair

Grype is a popular open source CVE scanner that scans for known vulnerabilities in container images and filesystems. At the time of this writing, the latest release is 0.80.1 and you can find packages for most operating systems in their releases page.

CycloneDX tools offer packages for each and every programming language. [1]

The dependency track project accumulates all dependency vulnerabilities in a dashboard. [2]

Container SBOMs can be generated with syft and grype [3] [4]

[1] https://github.com/CycloneDX

[2] https://github.com/DependencyTrack

[3] https://github.com/anchore/syft

[4] https://github.com/anchore/grype

Trivy Operator : A simple and comprehensive vulnerability scanner for containers and other artifacts. It detects vulnerabilities of OS packages (Alpine, Debian, CentOS, etc.) and application dependencies (pip, npm, yarn, composer, etc.) (Alternatives : Grype, Snyk, Clair, Anchore, Twistlock)

Besides pointing pentester tools like metasploit at yourself, there are some nice scanners out there.

https://github.com/quay/clair

https://github.com/anchore/grype/

Using Grype:

In the lab to follow, we'll see how vulnerability scanning can be conveniently achieved with Grype and how various systematic techniques can be applied to start securing our microservices at the container image level.

Regularly scan your Docker images for vulnerabilities using tools like Trivy or Clair.

Clair: An open-source project for the static analysis of vulnerabilities in application containers.

Besides pointing pentester tools like metasploit at yourself, there are some nice scanners out there.

https://github.com/quay/clair

https://github.com/anchore/grype/

Clair. Vulnerability Static Analysis for Containers.

https://github.com/quay/clair 9.4k stars, updated 17 hours ago

It scaled well compared to a naive graph abstraction implemented outside the database, but when performance wasn't great, it REALLY wasn't great. We ended up throwing it out in later versions to try and get more consistent performance.

I've since worked on SpiceDB[1] which takes the traditional design approach for graph databases and simply treating Postgres as triple-store and that scales far better. IME, if you need a graph, you probably want to use a database optimized for graph access patterns. Most general-purpose graph databases are just bags of optimizations for common traversals.

[0]: https://github.com/quay/clair

[1]: https://github.com/authzed/spicedb

Clair GitHub

Open source: Trivy, Gryp and Clair are widely used open source tools for container scanning.

Testing the image with github.com/fullhunt/log4j-scan and https://github.com/quay/clair shows no vulnerabilities

Amazon Elastic Container Registry is a fully-managed Docker container registry. It makes it easy for developers to store and manage Docker images inside their AWS environment. ECR supports two types of image scanning. Enhanced image scanning requires an integration with Amazon Inspector. It will scan your repositories continuously. Basic image scanning will use the Common Vulnerabilities and Exposures (CVEs) database (open-source Clair) to find vulnerabilities in your images. You can trigger scans on image push or manually.