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Ongoing case: Cyber-capable AI models Safety finding · 6 stories

Anthropic's OSS Scanner writes vulnerability reports without human review

Anthropic launched OSS Scanner on 8 October, an opt-in service for open-source maintainers, and says its reports are fully model-generated, without human review or triage.

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Check our sources · 9 facts from 2 sources
Illustration: A matte-white intake cabinet with a top slot and a front tray; its green output tray stands for reports a model writes without a person reviewing them.Illustration made with AI for ai notis
source · Illustration made with AI for ai notis; not a picture of what happened

Key points

  1. Anthropic says each report includes a self-contained reproducer and an explanation, plus a bisection and a candidate patch where possible, and that the outputs are fully model-generated.
  2. Anthropic says expert penetration testers reviewed 97 critical and high-severity findings across 48 projects, and 85 of them met the bar for its coordinated vulnerability disclosure process.
  3. Anthropic's disclosure dashboard, which counts findings from all Claude models, lists 6,157 reported to maintainers as of 2 October; 4,824 were reported direct by Anthropic and may contain false positives.

What happened

Anthropic launched OSS Scanner on 8 October 2026 as an opt-in vulnerability-finding service for open-source software. Core maintainers of eligible projects enrol by submitting a pull request to Anthropic's GitHub repository. Anthropic's post says the scanner's outputs are fully model-generated, without human review or triage.

Each report includes a self-contained reproducer and an explanation of the vulnerability, with a bisection and a candidate patch where available.

Anthropic reports that expert penetration testers reviewed 97 critical and high-severity findings across 48 projects, and that 85 of them met the bar for its coordinated vulnerability disclosure process.

Anthropic's disclosure dashboard, which counts findings from all Claude models rather than OSS Scanner alone, shows as of 2 October 2026 6,157 findings reported to maintainers, of which 4,824 were reported direct to maintainers by Anthropic and, the dashboard says, may contain false positives.

The same dashboard shows 516 patched upstream. The dashboard also shows 29,439 candidate vulnerabilities, of which 6,123 were reviewed by external security firms.

What it means for you

Our view

Anthropic says the scanner's reports are written by a model and not reviewed by a person. For a maintainer, a report is therefore a lead to check, even though Anthropic's testers found that 85 of 97 sampled critical and high-severity findings met its disclosure bar.

The dashboard figures cover Claude models in general, so they do not show how OSS Scanner itself performs. If you maintain an open-source project, read the enrolment steps before opting in and decide who will triage incoming reports.

If you depend on open-source packages, ask your suppliers how they handle machine-written reports.

It adds no new facts.

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Check our sources

Every sentence above is checked against these 2 sources.

1 An opt-in vulnerability-finding service for open-source softwareAnthropic · 8 Oct 2026 · 5 facts Open the source archived copy
  1. Anthropic published an opt-in vulnerability-finding service for open-source software, OSS Scanner, in a post dated 8 October 2026.

    Oct 8, 2026 ... We're launching OSS Scanner, an opt-in vulnerability scanner for the open-source ecosystem informed by our experience using Claude to find vulnerabilities during Project Glasswing.
    cite
  2. Anthropic's post says core maintainers of eligible projects enrol by submitting a pull request to Anthropic's GitHub repository.

    Core maintainers of eligible projects can enroll by submitting a PR to this GitHub repo following the standard project template
    cite
  3. Anthropic's post says the scanner's outputs are fully model-generated, without human review or triage.

    The outputs of this opt-in vulnerability scanner will be fully model-generated, without human review or triage. This will enable faster and more frequent scanning, but means that it is possible reports will be incorrect or invalid.
    cite
  4. Anthropic's post says each report includes a self-contained reproducer and an explanation of the vulnerability, and, where possible, a bisection showing when the bug was introduced and a candidate patch.

    Each report contains a self-contained reproducer, explanation of the vulnerability (including a bisection to determine when the bug was introduced, where possible), and candidate patch (when available) for how the bug can be fixed.
    cite
  5. Anthropic's post says expert penetration testers reviewed 97 critical and high-severity findings across 48 projects, and 85 of them met the bar for its coordinated vulnerability disclosure process.

    To validate an early version of OSS Scanner, we asked the expert penetration testers who review our CVD findings to check 97 critical and high-severity vulnerabilities from the scanner across 48 projects. Of these, 85 (88%) met the bar for our CVD process. Of the remaining 12, 11 were real but duplicated known issues or other findings from the scan, and only one was invalid
    cite
2 Anthropic's coordinated vulnerability disclosure dashboardAnthropic · 2 Oct 2026 · 4 facts Open the source archived copy
  1. Anthropic's disclosure dashboard, as of 2 October 2026, lists 6,157 findings reported to maintainers.

    As of October 2, 2026, we've disclosed 6,157 vulnerabilities across 591 open source projects. ... 6,157 findings Total reported to maintainers
    cite
  2. The dashboard lists 4,824 of those findings as reported direct to maintainers by Anthropic, marked as possibly containing false positives.

    Toned down to what the source says
    4,824 findings Reported direct to maintainers by Anthropic May contain false positives
    cite
  3. The dashboard lists 516 findings patched upstream.

    To our knowledge, 516 of these have been patched. ... 516 findings Patched upstream
    cite
  4. The dashboard lists 29,439 candidate vulnerabilities, of which 6,123 were reviewed by external security firms.

    Discovered Triaged 29,439 findings Candidates 6,123 findings Reviewed by external security firms
    cite

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