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OSS Scanner by Anthropic

Free AI vulnerability scans for open-source projects

Open Source
Artificial Intelligence
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Hunted byKumar AbhishekKumar Abhishek

OSS Scanner is Anthropic’s free, opt-in vulnerability-finding service for open-source projects, built on its strongest models including Claude Mythos. Maintainers enroll with a pull request. Each report comes with a reproducer, an explanation, and a candidate patch when available. In an early validation, 85 of 97 critical and high findings (88%) met the disclosure bar. Reports get no human review, so some may be wrong. Modeled on Google OSS-Fuzz.

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OSS Scanner is Anthropic’s free, opt-in vulnerability-finding service for open-source projects. It’s modeled on Google’s OSS-Fuzz, but it uses Anthropic’s strongest models, including Claude Mythos, instead of fuzzers.

Problem: Open-source projects sit under a lot of infrastructure, and finding security bugs in them takes time and expertise that many maintainers don’t have.

Solution: Maintainers opt in, and the scanner audits their code on a recurring basis and sends back reports. Each report includes a self-contained reproducer and an explanation of the vulnerability, with a bisection to when the bug was introduced where possible. It also includes a candidate patch when available.

What makes it different: it’s built on the same approach Anthropic used to find vulnerabilities during Project Glasswing, and it costs eligible projects nothing. It’s also an optional fast track. Anthropic keeps running its human-verified coordinated disclosure process for projects without triage resources.

Does it work? These numbers are from Anthropic’s own post, not independent. In an early validation, expert penetration testers checked 97 critical and high-severity findings across 48 projects, and 85 (88%) met the disclosure bar. Of the other 12, 11 were real but duplicated known issues, and one was a false positive. wolfSSL’s Todd Ouska wrote that of the 74 reports they received, all but two were valid, and five became CVEs.

Key features:

  • Free for eligible open-source projects

  • Opt-in: enroll by opening a pull request to anthropics/oss-scanner with a project.yaml and a Dockerfile

  • Periodic scans with reports emailed to the maintainers

  • Reports with a reproducer, an explanation, and a candidate patch when available

  • Pause or remove a project whenever you want

  • Scans run in sandboxes with internet access disabled

Reports get no human review before delivery, so some may be wrong. Anthropic says severity ratings can be inflated and the scanner can misread a project’s threat model.

Who it’s for: core maintainers of open-source projects with a critical impact on infrastructure and user security. Eligibility follows criteria similar to OSS-Fuzz and is decided case by case.

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About OSS Scanner by Anthropic on Product Hunt

“Free AI vulnerability scans for open-source projects”

OSS Scanner by Anthropic was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #65 on the daily leaderboard. OSS Scanner is Anthropic’s free, opt-in vulnerability-finding service for open-source projects, built on its strongest models including Claude Mythos. Maintainers enroll with a pull request. Each report comes with a reproducer, an explanation, and a candidate patch when available. In an early validation, 85 of 97 critical and high findings (88%) met the disclosure bar. Reports get no human review, so some may be wrong. Modeled on Google OSS-Fuzz.

OSS Scanner by Anthropic was featured in Open Source (68.9k followers) and Artificial Intelligence (481.1k followers) on Product Hunt. Together, these topics include over 146.2k products, making this a competitive space to launch in.

Who hunted OSS Scanner by Anthropic?

OSS Scanner by Anthropic was hunted by Kumar Abhishek. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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