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LLM-discovered 0 days

ID: e8bbc0a4-b165-5f84-9f41-e2c3a50fe138

STIX ID: report--e8bbc0a4-b165-5f84-9f41-e2c3a50fe138

Feed Name: Anthropic Research

Threat Score
70/100

Date Published: 2023-11-03

Date Updated: 2026-08-04

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Claude Opus 4.6 was evaluated in a simulated VM with access to open-source code and standard tooling and, without specialized harnesses or prompts, identified and validated over 500 high-severity vulnerabilities (notably in GhostScript, OpenSC, and CGIF). The report details the methodology for discovery and human validation, provides examples where the model produced proof-of-concept crashes or patches, and outlines new safeguards and disclosure practices to manage the dual-use cybersecurity risks of rapidly improving LLM capabilities.

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