Detailed Information on Publication Record
2024
Gray-Box Fuzzing via Gradient Descent and Boolean Expression Coverage
JONÁŠ, Martin, Jan STREJČEK, Marek TRTÍK and Lukáš URBANBasic information
Original name
Gray-Box Fuzzing via Gradient Descent and Boolean Expression Coverage
Authors
JONÁŠ, Martin (203 Czech Republic, belonging to the institution), Jan STREJČEK (203 Czech Republic, guarantor, belonging to the institution), Marek TRTÍK (203 Czech Republic, belonging to the institution) and Lukáš URBAN (703 Slovakia, belonging to the institution)
Edition
Cham (Švýcarsko), Tools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings, Part III, p. 90-109, 20 pp. 2024
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
Impact factor
Impact factor: 0.402 in 2005
Organization unit
Faculty of Informatics
ISBN
978-3-031-57255-5
ISSN
UT WoS
001284187100005
Keywords in English
fuzzing; test generation; atomic Boolean expression; Fizzer
Tags
International impact, Reviewed
Změněno: 18/10/2024 16:54, prof. RNDr. Jan Strejček, Ph.D.
Abstract
V originále
We present a gray-box fuzzing approach based on several new ideas. While standard gray-box fuzzing aims to cover all branches of the input program, our approach primarily aims to cover both results of each Boolean expression. To achieve this goal, we track the distances to flipping these results and we dynamically detect the input bytes that influence the distance. Then we use this information to efficiently flip the results. More precisely, we apply gradient descent on the detected bytes or we create new inputs by using detected bytes from different inputs. We implemented our approach in a tool called Fizzer. An evaluation on the benchmarks of Test-Comp 2023 shows that Fizzer is fully competitive with the winning tools of the competition, which use advanced formal methods like symbolic execution or bounded model checking, usually in combination with fuzzing.
Links
GA23-06506S, research and development project |
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MUNI/A/1592/2023, interní kód MU |
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MUNI/A/1608/2023, interní kód MU |
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