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An opt-in vulnerability-finding service for open-source software

ID: 149034b3-7276-5f38-af23-e776d44539d6

STIX ID: report--149034b3-7276-5f38-af23-e776d44539d6

Feed Name: Anthropic Research

Threat Score
50/100

Date Published: 2026-10-08

Date Updated: 2026-10-09

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Anthropic is launching OSS Scanner, an opt-in, LLM-powered vulnerability scanner for open-source projects that produces fully model-generated security reports. The blog describes that their models discovered over 29,000 candidate vulnerabilities (roughly 6,000 manually triaged), produced some validated high-severity findings including chained unauthenticated RCEs, and offers projects the option to receive raw automated reports or follow coordinated vulnerability disclosure; enrollment is via a GitHub PR and eligibility mirrors OSS-Fuzz criteria.

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