Fuzzing: a survey for roadmap

X Zhu, S Wen, S Camtepe, Y Xiang - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Fuzz testing (fuzzing) has witnessed its prosperity in detecting security flaws recently. It
generates a large number of test cases and monitors the executions for defects. Fuzzing has …

Fuzzing vulnerability discovery techniques: Survey, challenges and future directions

C Beaman, M Redbourne, JD Mummery, S Hakak - Computers & Security, 2022 - Elsevier
Fuzzing is a powerful tool for vulnerability discovery in software, with much progress being
made in the field in recent years. There is limited literature available on the fuzzing …

{AFL++}: Combining incremental steps of fuzzing research

A Fioraldi, D Maier, H Eißfeldt, M Heuse - 14th USENIX Workshop on …, 2020 - usenix.org
In this paper, we present AFL++, a community-driven open-source tool that incorporates
state-of-the-art fuzzing research, to make the research comparable, reproducible …

Evaluating fuzz testing

G Klees, A Ruef, B Cooper, S Wei, M Hicks - Proceedings of the 2018 …, 2018 - dl.acm.org
Fuzz testing has enjoyed great success at discovering security critical bugs in real software.
Recently, researchers have devoted significant effort to devising new fuzzing techniques …

The art, science, and engineering of fuzzing: A survey

VJM Manès, HS Han, C Han, SK Cha… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

{QSYM}: A practical concolic execution engine tailored for hybrid fuzzing

I Yun, S Lee, M Xu, Y Jang, T Kim - 27th USENIX Security Symposium …, 2018 - usenix.org
Recently, hybrid fuzzing has been proposed to address the limitations of fuzzing and
concolic execution by combining both approaches. The hybrid approach has shown its …

[PDF][PDF] REDQUEEN: Fuzzing with Input-to-State Correspondence.

C Aschermann, S Schumilo, T Blazytko, R Gawlik… - NDSS, 2019 - nyx-fuzz.com
Automated software testing based on fuzzing has experienced a revival in recent years.
Especially feedback-driven fuzzing has become well-known for its ability to efficiently …

{MOPT}: Optimized mutation scheduling for fuzzers

C Lyu, S Ji, C Zhang, Y Li, WH Lee, Y Song… - 28th USENIX Security …, 2019 - usenix.org
Mutation-based fuzzing is one of the most popular vulnerability discovery solutions. Its
performance of generating interesting test cases highly depends on the mutation scheduling …

Learning to fuzz from symbolic execution with application to smart contracts

J He, M Balunović, N Ambroladze, P Tsankov… - Proceedings of the …, 2019 - dl.acm.org
Fuzzing and symbolic execution are two complementary techniques for discovering software
vulnerabilities. Fuzzing is fast and scalable, but can be ineffective when it fails to randomly …

Magma: A ground-truth fuzzing benchmark

A Hazimeh, A Herrera, M Payer - … of the ACM on Measurement and …, 2020 - dl.acm.org
High scalability and low running costs have made fuzz testing the de facto standard for
discovering software bugs. Fuzzing techniques are constantly being improved in a race to …