Hopper: Interpretative Fuzzing for Libraries

Author:

Chen Peng1ORCID,Xie Yuxuan1ORCID,Lyu Yunlong1ORCID,Wang Yuxiao1ORCID,Chen Hao2ORCID

Affiliation:

1. Tencent Security Big Data Lab, ShenZhen, China

2. University of California, Davis, Davis, CA, USA

Funder

National Science Foundation

Publisher

ACM

Reference46 articles.

1. A fuzz driver generated by FuzzGen for libvpx. https://github.com/HexHive/FuzzGen/tree/master/examples/libvpx.

2. A schema for generating sqlite3 fuzz drivers written by GraphFuzz. https://git hub.com/hgarrereyn/GraphFuzz/blob/master/experiments/sqlite3/in/f1/sche ma.yaml.

3. NAUTILUS: Fishing for Deep Bugs with Grammars

4. Vaggelis Atlidakis Roxana Geambasu Patrice Godefroid Marina Polishchuk and Baishakhi Ray. 2020. Pythia: grammar-based fuzzing of REST APIs with coverage-guided feedback and learning-based mutations. arXiv preprint arXiv:2005.11498.

5. RESTler: Stateful REST API Fuzzing

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. SoK: Prudent Evaluation Practices for Fuzzing;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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