by NASP-THU · Agent Tool · ★ 101
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ProphetFuzz The implementation of the paper titled "ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model" ProphetFuzz is an LLM- based, fully automated fuzzing tool for option combination testing. ProphetFuzz can predict and conduct fuzzing on high-risk option combinations 1 with only documentation, and the entire process operates without manual intervention. For more details, please refer to our paper from ACM CCS'24. Due to page limitations, the Appendix of the paper could not be included within the main text. Please refer to Appendix. 📌 Updates [2026-02-10] This project is indexed on DeepWiki, which provides AI-generated documentation to help better understand the codebase, architecture, and core logic. https://deepwiki.com/NASP-THU/ProphetFuzz Structure . ├── Dockerfile ├── README.md ├── assets │ ├── dataset │ │ ├── groundtruthfor20programs.json │ │ └── precision.json │ └── images ├── fuzzinghandler │ ├── cmdfixer.py │ ├── codechecker.py │ ├── config.json │ ├── runcmin.py │ ├── runfuzzing.sh │ └── utils │ ├── analysisutil.py │ ├── codeutils.py │ └── executionutil.py ├── llminterface │
| Stars | 101 |
| Forks | 12 |
| Language | Roff |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.419621137762/100 |
| Last Updated | 2026-02-10 |
| Created | 2024-08-28 |
| Est. Tokens | ~72k |
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ProphetFuzz is [CCS'24] An LLM-based, fully automated fuzzing tool for option combination testing.. It is categorized as a Agent Tool with 101 GitHub stars.
ProphetFuzz is primarily written in Roff. It covers topics such as fuzzing.
You can find installation instructions and usage details in the ProphetFuzz GitHub repository at github.com/NASP-THU/ProphetFuzz. The project has 101 stars and 12 forks, indicating an active community.
ProphetFuzz is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ProphetFuzz on Agent Skills Hub include brainstorm, claude-skills-marketplace, tutor-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.