dependency-track
slsa
dependency-track | slsa | |
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18 | 35 | |
2,335 | 1,424 | |
3.1% | 1.9% | |
9.8 | 8.5 | |
3 days ago | 7 days ago | |
Java | Shell | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dependency-track
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Show HN: Pre-alpha tool for analyzing spdx SBOMs generated by GitHub
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)
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SQL Injection Isn't Dead Yet
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 The OWASP Top 10 2021 identifies this need as A06:2021-Vulnerable and Outdated Components.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.
- Dependency-Track
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Krita fund has 0 corporate support
https://dependencytrack.org/
You just need to use one of the various tools out there to scan.
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Friends - needs help choosing solution for SBOM vulnerability
OWASP Dependency Track - https://dependencytrack.org/
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An Overview of Kubernetes Security Projects at KubeCon Europe 2023
Dependency-Track
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software inventory of my ECS tasks
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).
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The ultimate guide to Java Security Vulnerabilities (CVE)
If you like Dependency-Track, consider moving to Dependency-Track ( https://dependencytrack.org ), which makes administration much easier.
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Is there any news about 64 bit Steam?
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.
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The SBOM Frenzy Is Premature
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
slsa
- SLSA – Supply-Chain Levels for Software Artifacts
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Dogbolt Decompiler Explorer
Short answer: not where it counts.
My work focuses on recognizing known functions in obfuscated binaries, but there are some papers you might want to check out related to deobfuscation, if not necessarily using ML for deobfuscation or decompilation.
My take is that ML can soundly defeat the "easy" and more static obfuscation types (encodings, control flow flattening, splitting functions). It's low hanging fruit, and it's what I worked on most, but adoption is slow. On the other hand, "hard" obfuscations like virtualized functions or programs which embed JIT compilers to obfuscate at runtime... as far as I know, those are still unsolved problems.
This is a good overview of the subject, but pretty old and doesn't cover "hard" obfuscations: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1566145.
https://www.jinyier.me/papers/DATE19_Obf.pdf uses deobfuscation for RTL logic (FGPA/ASIC domain) with SAT solvers. Might be useful for a point of view from a fairly different domain.
https://advising.cs.arizona.edu/~debray/Publications/generic... uses "semantics-preserving transformations" to shed obfuscation. I think this approach is the way to go, especially when combined with dynamic/symbolic analysis to mitigate virt/jit types of transformations.
I'll mention this one as a cautionary tale: https://dl.acm.org/doi/pdf/10.1145/2886012 has some good general info but glosses over the machine learning approach. It considers Hex-rays' FLIRT to be "machine learning", but FLIRT just hashes signatures, can be spoofed (i.e. https://siliconpr0n.org/uv/issues_with_flirt_aware_malware.p...), and is useless against obfuscation.
Eventually I think SBOM tools like Black Duck[1] and SLSA[2] will incorporate ML to improve the accuracy of even figuring out what dependencies a piece of software actually has.
[1]: https://www.synopsys.com/software-integrity/software-composi...
[2]: https://slsa.dev/
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10 reasons you should quit your HTTP client
The dependency chain is certified! SLSA!
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UEFI Software Bill of Materials Proposal
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.
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Gittuf – a security layer for Git using some concepts introduced by TUF
It's multi-pronged and I imagine adopters may use a subset of features. Broadly, I think folks are going to be interested in a) branch/tag/reference protection rules, b) file protection rules (monorepo or otherwise, though monorepos do pose a very apt usecase for gittuf), and c) general key management for those who primarily care about Git signing.
For those who care about a and b, I think the work we want to do to support [in-toto attestations](https://github.com/in-toto/attestation) for [SLSA's upcoming source track](https://github.com/slsa-framework/slsa/issues/956) could be very interesting as well.
- SLSA • Supply-Chain Levels for Software Artifacts
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Password-stealing Linux malware served for 3 years and no one noticed
It doesn't have to be. Corporations which are FedRAMP[1] compliant, have to build software reproducibly in a fully isolated environment, only from reviewed code.[2]
[1] https://en.wikipedia.org/wiki/FedRAMP
[2] https://slsa.dev/
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OSCM: The Open Source Consumption Manifesto
SLSA stands for Supply chain Levels for Software Artifacts, and it is a framework that aims to provide a set of best practices for the software supply chain, with a focus on OSS. It was created by Google, and it is now part of the OpenSSF. It consists of four levels of assurance, from Level 1 to Level 4, that correspond to different degrees of protection against supply chain attacks. Our CTO Paolo Mainardi mentioned SLSA in a very good article on software supply chain security, and we also mentioned it in another article about securing OCI Artifacts on Kubernetes.
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CLOUD SECURITY PODCAST BY GOOGLE - EP116 SBOMs: A Step Towards a More Secure Software Supply Chain -
SLSA.dev
- Supply Chain Levels for Software Artifacts (SLSA)
What are some alternatives?
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
ClojureDart - Clojure dialect for Flutter and Dart
DependencyCheck - OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.
grype - A vulnerability scanner for container images and filesystems
scancode-toolkit - :mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!
gitlab
sig-security - 🔐CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!
sbt-dependency-check - SBT Plugin for OWASP DependencyCheck. Monitor your dependencies and report if there are any publicly known vulnerabilities (e.g. CVEs). :rainbow:
ort - A suite of tools to automate software compliance checks.
checkov - Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.