D 2024

Gray-Box Fuzzing via Gradient Descent and Boolean Expression Coverage

JONÁŠ, Martin, Jan STREJČEK, Marek TRTÍK and Lukáš URBAN

Basic 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
Name: Pokročilá analýza a verifikace pro pokročilý software
Investor: Czech Science Foundation, Advanced Analysis and Verification for Advanced Software
MUNI/A/1592/2023, interní kód MU
Name: Modelování, analýza a verifikace (2024)
Investor: Masaryk University, Modeling, analysis, and verification (2024)
MUNI/A/1608/2023, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 24
Investor: Masaryk University