hayulalab/big-game-hunting-paper

Big Game Hunting: A Strategic Framework for High-Value Bug Bounty Targeting — Hayula Research

Hayula AI Lab

Abstract

We present Big Game Hunting, a strategic methodology for maximizing financial returns in bug bounty programs through deliberate target selection, vulnerability class prioritization, and systematic payout estimation. We demonstrate that the conventional "spray-and-pray" approach of hunting for undocumented endpoints yields a ceiling of $500–$2,000 per finding, whereas strategic targeting of Server-Side Request Forgery (SSRF), cloud metadata extraction, Remote Code Execution (RCE), Authenticatio

Files

File	Description
paper.md	Full paper (Markdown)
README.md	This model card

Citation

@techreport{hayulalab2026biggamehunting,
    title={Big Game Hunting: A Strategic Framework for High-Value Bug Bounty Targeting — Hayula Research},
    author={Hayula AI Lab},
    year={2026},
    url={https://huggingface.co/hayulalab/big-game-hunting-paper}
}

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hayulalab — Open Source AI Research