scorecard
slsa
scorecard | slsa | |
---|---|---|
25 | 35 | |
4,147 | 1,424 | |
2.6% | 1.9% | |
9.7 | 8.5 | |
7 days ago | 3 days ago | |
Go | 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.
scorecard
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Can some expert analyze a github repo and tell us if it's really safe or not?
For general open source hygiene, I'd recommend running OpenSSF scorecards on your github repo and following-up on anything it suggests. https://github.com/ossf/scorecard.
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Securizing your GitHub org
The OSSF scorecard initiative is really good to assess your project against security best practices. I am not the first to write about this.
- OpenSSF Scorecard – Build better security habits, one test at a time
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You should use the OpenSSF Scorecard
Each area has its own associated risk, so the overall score is the average of the five areas. Here, you can check the details of each by consulting the documentation in detail.
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Software Supply Chain and Data Infrastructure Security - 5 lessons from AllDayDevOps 2022
Mitigation, according to Sean, is a combination of appropriate (network) access control, SCA (Software Composition Analysis) tooling to manage your policies around CVEs, and purging “all the things”. He also thinks MFA (multi-factor authentication) for authors of (critical) packages should be required. Sean gets his vulnerability insights from deps.dev, ossindex.sonatype, and cvedetails.com, and closely monitors interesting initiatives such as the OpenSSF Security Scorecards - a tool to assess open source projects for security risks through a series of automated checks.
- Boost Your Enterprise Security with GitHub Actions and the OSSF Score Card
- How does your company manage open-source dependencies?
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Washington, DC, and open—for maintainers
Give feedback on new security standards: The various security standards like OpenSSF Scorecard and SLSA.dev can be a lot to digest, but they are likely going to be very influential in developing government standards. Take a peek at them, and if you have concerns or questions, file issues. The people behind them want to hear from a broad range of maintainers, so your feedback really does matter. (If you're a Tidelift maintainer partner, you can also bring the feedback to us—we are participating in these discussions, and may be able to either point to existing discussions, explain them more deeply, or bring your feedback to the appropriate places.)
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Episode 102: myNewsWrap – SAP and Microsoft
Security Scorecards
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Best practices for managing Java dependencies
I recommend using https://deps.dev to get a feeling for what you are bringing into your project. It also integrates with OSSF Scorecards, which gives a good overview over how healthy the project is, and whether it employs industry best practices.
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?
in-toto - in-toto is a framework to protect supply chain integrity.
ClojureDart - Clojure dialect for Flutter and Dart
snyk - Snyk CLI scans and monitors your projects for security vulnerabilities. [Moved to: https://github.com/snyk/cli]
grype - A vulnerability scanner for container images and filesystems
openRiskScore - A python framework for risk scoring
DependencyCheck - OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.
cli - Snyk CLI scans and monitors your projects for security vulnerabilities.
sig-security - 🔐CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!
harden-runner - Network egress filtering and runtime security for GitHub-hosted and self-hosted runners
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
kaniko - Build Container Images In Kubernetes
checkov - Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.