in-toto VS dependency-track

The things you mentioned are not solved by a typical "SBOM" but e.g. CycloneDX has extra fields to record provenance and pedigree and things like in-toto (https://in-toto.io/) or SLSA (https://slsa.dev/) also aim to work in this field.

I've spent the last six months in this field and people will tell you that this or that is an industry best practice or "a standard" but in my experience none of that is true. Everyone is still trying to figure out how best to protect the software supply chain security and things are still very much in flux.

in-toto is an open source project that focuses on the attestation part of software supply chain security. You use it to define a “layout” for a project, i.e., how the different components should fit together. A project ships this definition with its code, and then another user of that software can compare what they have with the attached definition to see if it matches the structure and contents they expect. If it doesn’t, then this could point to external tampering or other issues.

But it's not all doom and gloom because the industry is evolving. Companies like Google are formulating tools like scorecard to heuristically reduce risk by encouraging you to rely on trustable dependencies only. There's also more complex tools like in-toto that actually look at the integrity of your supply chain (don't ask me how this one works, I just know that people like it).

I've become interested in SBOM recently, and found there were great tools like https://dependencytrack.org/ for CycloneDX SBOMs, but all I have is SPDX SBOMs generated by GitHub.

I decided to have a go at writing my own dependency track esque tool aiming to integrate with the APIs GitHub provides.

It's pretty limited in functionality so far, but can give a high level summary of the types of licenses your repository dependencies use, and let you drill down into potentially problematic ones.

Written in NextJS + mui + sqlite, and using another project of mine to generate most of the API boilerplate/glue (https://github.com/mnahkies/openapi-code-generator)

To detect these types of vulnerabilities, we should first and foremost know our dependencies and versions, and which of them have vulnerabilities. The OWASP Top 10 2021 identifies this need as A06:2021-Vulnerable and Outdated Components. OWASP has several tools for this, including Dependency Check and Dependency Track. These tools will warn about the use of components with vulnerabilities.

https://dependencytrack.org/

You just need to use one of the various tools out there to scan.

OWASP Dependency Track - https://dependencytrack.org/

Dependency-Track

I actually want to build the same thing you are after, and I think I’ll go for the setup you describe in idea 2. The tool you can use for this is Trivy (https://trivy.dev), have it generate a SBOM and send it to Dependencytrack (https://dependencytrack.org).

If you like Dependency-Track, consider moving to Dependency-Track ( https://dependencytrack.org ), which makes administration much easier.

Even if you roll up the sleeves and add the feature yourself there is no guarantee it will be accepted upstream and you should always be prepared for the possibility of wasting time.

I don't quite understand the deployment issue. I mean, I understand people might not be tracking what's deployed, but I don't understand what is missing for it to be happening today, other than will.

For example: I build some software into a Docker image, version tag it, sign it, and generate an SBOM for it. That image goes into production with signature validation. Even if I've included 100 jar files in there, I should know exactly which ones I have. I can upload the SBOM to my DependencyTrack[1] instance to so over time no dependencies have vulnerabilities I'm not aware of.

What doesn't work in that scenario? What scenarios can't conform to that one?

[1] https://dependencytrack.org