A researcher developed an innovative approach using 'drunk' LLMs to discover over 20 CVEs, including two critical remote, unauthenticated out-of-bounds write vulnerabilities in the Linux kernel's ksmbd module. The method focuses on identifying discrepancies between documentation and actual code implementation, proving effective at finding serious security flaws that were previously overlooked.
Background
The use of AI/ML in vulnerability research has been gaining traction, with recent advances making it more feasible to use large language models for security research, particularly in identifying discrepancies between documentation and code implementation.
- Source
- Lobsters
- Published
- May 10, 2026 at 05:13 AM
- Score
- 8.0 / 10