Beyond v4.1: An Autonomous Bug Bounty Pipeline Using Multi-Specialist Cybersecurity LLMs
The modern bug bounty landscape presents a dual challenge: the volume of attack surface across large programs is vast and continuously evolving, while the depth of expertise required to identify sophisticated vulnerabilities demands specialized knowledge across multiple security domains. Traditional approaches — manual penetration testing, monolithic vulnerability scanners, and single-model machine learning systems — struggle to simultaneously achieve breadth of coverage and depth of analysis.
Authors
- Yahya Saqban
Institutions
- Tula University (RU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-24
- DOI
- https://doi.org/10.5281/zenodo.21537133
- Primary Topic
- Web Application Security Vulnerabilities
- Type
- article
- Field-Weighted Citation Impact
- 0.00