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big-game-hunting-paper
hayulalab/big-game-hunting-paper
big-game-hunting-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jul 8, 2026
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- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 33f78fc1
Model card
From the Hugging Face model README
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}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026