Stateful Fuzzing
Stateful Fuzzing is a fuzz testing methodology that systematically generates and mutates input sequences to explore program states over multiple interactions, distinguishing itself from stateless approaches by maintaining and leveraging execution context across inputs to uncover deep-path vulnerabilities in state-dependent software systems.
38
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1.9K
Citations
142
Authors
53
Institutions
Publications per year
2017–2026
32
Parents
38
Steelix: program-state based binary fuzzing
Yuekang Li, Bihuan Chen, Mahinthan Chandramohan et al. · 2017 · 277 citations
RESTler: Stateful REST API Fuzzing
Vaggelis Atlidakis, Patrice Godefroid, Marina Polishchuk · 2019 · 212 citations
Large Language Model guided Protocol Fuzzing
Ruijie Meng, Marcel Böhme, Abhik Roychoudhury · 2024 · 174 citations · Full text
Humberto Abdelnur, Radu State, Olivier Festor · 2007 · 84 citations
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53

National University of Defense Technology
Changsha, China
5 h-index
24 publications
440 citations
Tsinghua University
Beijing, China
4 h-index
14 publications
422 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
8 publications
1.8K citations

Saarland University
Saarbrücken, Germany
1 h-index
1 publications
20 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
1 publications
28 citations
Laboratoire Lorrain de Recherche en Informatique et ses Applications
Nancy, France
1 h-index
3 publications
252 citations
University of Vienna
Vienna, Austria
1 h-index
1 publications
20 citations
Northeastern University
Boston, United States
1 h-index
1 publications
51 citations
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3 publications · 79 citations
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3 publications · 48 citations
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2 publications · 116 citations
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Repository · 2 publications · 40 citations
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TNSM · 1 publications · 20 citations
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