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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-24
DOI
https://doi.org/10.5281/zenodo.21537134
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond v4.1: An Autonomous Bug Bounty Pipeline Using Multi-Specialist Cybersecurity LLMs

Yahya Saqban
Zenodo (CERN European Organization for Nuclear Research)
Web Application Security Vulnerabilities
article

Beyond v4.1: An Autonomous Bug Bounty Pipeline Using Multi-Specialist Cybersecurity LLMs

Yahya Saqban
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Tula University (RU)
Openalex Percentile: Top 3%
Web Application Security Vulnerabilities
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Beyond v4.1: An Autonomous Bug Bounty Pipeline Using Multi-Specialist Cybersecurity LLMs — Yahya Saqban · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS