SnapFuzz: high-throughput fuzzing of network applications

Author:

Andronidis Anastasios1,Cadar Cristian1

Affiliation:

1. Imperial College London, UK

Publisher

ACM

Reference46 articles.

1. SaBRe: load-time selective binary rewriting

2. NAUTILUS: Fishing for Deep Bugs with Grammars

3. Jinsheng Ba , Marcel Böhme , Zahra Mirzamomen , and Abhik Roychoudhury . 2022 . Stateful Greybox Fuzzing . In Proc. of the 2022 USENIX Annual Technical Conference (USENIX ATC’22) . Jinsheng Ba, Marcel Böhme, Zahra Mirzamomen, and Abhik Roychoudhury. 2022. Stateful Greybox Fuzzing. In Proc. of the 2022 USENIX Annual Technical Conference (USENIX ATC’22).

4. SNOOZE: Toward a Stateful NetwOrk prOtocol fuzZEr

5. Fuzzing: Challenges and Reflections

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1. ResolFuzz: Differential Fuzzing of DNS Resolvers;Computer Security – ESORICS 2023;2024

2. NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing;ACM Transactions on Software Engineering and Methodology;2023-09-28

3. Systematically Detecting Packet Validation Vulnerabilities in Embedded Network Stacks;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

4. Exploring the Importance of Initial Seeds in Stateful Fuzzing of Network Services;2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE);2023-08-18

5. Icicle: A Re-designed Emulator for Grey-Box Firmware Fuzzing;Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis;2023-07-12

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