clair VS trivy

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.

Trivy Owner/Maintainer: Aqua Security Age: First released on GitHub on May 7th, 2019 License: Apache License 2.0 backward-compatible with tfsec

Trivy. A Simple and Comprehensive Vulnerability Scanner for Containers.

Using Trivy:

Trivy is a mature and comprehensive open source tool from Aqua Security that supports scanning multiple sources, from file systems to containers and VMs. Trivy also looks beyond vulnerabilities, to scan licenses, secrets, infrastructure as code misconfiguration, and more.

I would suggest to think about the thread model that you are facing so you can have a better mental model of the weak points of your environment. The very very big majority of these attacks will be automated probing for publicly known vulnerabilities or default credentials. That means the maintainers of the software you are running and the channels on which their updates are shipped to you and deployed are very important factors. For software that is not installed from a trusted and well maintained source (e.g. Ubuntus main repository), you want to make extra sure that vulnerabilities are updated. E.g. your deployed docker containers might contain security issues, you can run checks on these with tools like trivy. The same is also true for appliances, in case your router or firewall contains a software vulnerability, how will you be notified and how will the required updates be deployed?