5 points alegrey91 1 day ago 2 comments

alegrey91 1 day ago | parent

vex8s is an open source tool that analyzes Kubernetes workloads and generates VEX documents based on their SecurityContext.

The idea is to distinguish vulnerabilities that are actually exploitable in a given deployment from those mitigated by Kubernetes security settings (for example, readOnlyRootFilesystem, dropped capabilities, non-root users, and read-only volume mounts).

vex8s embeds a ML model trained on CVE data to predict vulnerability classes, then combines those predictions with the workload's security configuration to determine whether a vulnerability can be mitigated.

I'm particularly interested in feedback on the decision logic and on whether this approach could be useful as part of a vulnerability scanning pipeline.

GitHub: https://github.com/alegrey91/vex8s

Grimburger 26 minutes ago | parent

This is very cool, why not directly test the exploitability direct with harmless pods on the cluster for verification? If it's only model based as a defender I'd worry about how many % of misses arise. Even frontier models are going to miss some stuff, a programmatic gate seems prudent.

Not trying to be negative, do think it's a good approach youve got, but the modern reality of dealing with cve's and compliance is to just fix them because it's a massive headache trying to write exemptions for all the ones that don't matter. Been my experience anyway.