docker-bench-security VS gosec

Scanning your container images for vulnerabilities is a good approach. But this scanning is not one time job, it should be done regularly (weekly, monthly, etc.) You need to follow vulnerability reports and fix all of the vulnerabilities as soon as possible. I recommend some open-source tools that could be useful: Trivy, Docker-Bench, Grype.

For Docker configuration I have used this in the past (it utilizes the CIS Docker Benchmark): https://github.com/docker/docker-bench-security

So the main tool to scan against the CIS Docker benchmark (I'm presuming that's the one you're interested in) is https://github.com/docker/docker-bench-security .

git clone https://github.com/docker/docker-bench-security.git cd docker-bench-security sudo sh docker-bench-security.sh

when deploying images on cloud, I always run it thru "docker bench security" It helps finding potential security holes in my images.

Use Docker Bench for Security to audit your container images

Other tools you can use are linux-bench, docker-bench, kube-bench, kube-hunter, kube-striker, Cloud Custodian, OVAL, and OS Query.

I run https://github.com/docker/docker-bench-security against my environment. I would determine what was non-applicable/not scored and then start with scored. Then I would do not scored. My team had made their own Dockerfiles when I started and just grabbed whatever image/version and getting things baselined was not fun. I had to do this for docker-compose and stay on version 2 yml as otherwise I had to go to swarm.

6. Gosec

You can (and definitely should!) also use gosec.

The crypto source in Go is great, no complaints there. Lints like gosec even recommend using it when generating crypto entropy. Go did a good job here, and I expect Rust will do the same sometime after getrandom reaches 1.0 so the API questions are settled, plus whatever makes sense for the future-proofing the standard library needs.

i think there's https://github.com/securego/gosec linter

Various static analysis tools are available for the Go language, and existing static analysis tools can check general best practices. For example, gosec is a tool to check secure Go coding, and I use it myself. However, coding rules in software development are not only based on best practices, but can also be software- or team-specific. For example

What's the difference between this a https://github.com/securego/gosec?

A github actions workflow is provided to run go fmt, vet, test and gosec. An initial configuration for dependabot is also provided.

Besides what was mentioned, we use : staticcheck.io and https://github.com/securego/gosec

For application code, there are different SAST (Static Application Security Testing) tools like sonarqube, which provide vulnerability scanners for different languages, gosec for analyzing go code and detecting issues based on rules, linters, etc.