TaintScope: A checksum-aware directed fuzzing tool for automatic software vulnerability detection

T Wang, T Wei, G Gu, W Zou - 2010 IEEE Symposium on …, 2010 - ieeexplore.ieee.org
Fuzz testing has proven successful in finding security vulnerabilities in large programs.
However, traditional fuzz testing tools have a well-known common drawback: they are …

Deepfuzzer: Accelerated deep greybox fuzzing

J Liang, Y Jiang, M Wang, X Jiao… - … on Dependable and …, 2019 - ieeexplore.ieee.org
Fuzzing is one of the most effective vulnerability detection techniques, widely used in
practice. However, the performance of fuzzers may be limited by their inability to pass …

Cyber vulnerability intelligence for internet of things binary

S Liu, M Dibaei, Y Tai, C Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) integrates a variety of software (eg, autonomous vehicles and military
systems) in order to enable the advanced and intelligent services. These software increase …

{USBFuzz}: A Framework for Fuzzing {USB} Drivers by Device Emulation

H Peng, M Payer - 29th USENIX Security Symposium (USENIX Security …, 2020 - usenix.org
The Universal Serial Bus (USB) connects external devices to a host. This interface exposes
the OS kernels and device drivers to attacks by malicious devices. Unfortunately, kernels …

[PDF][PDF] What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices.

M Muench, J Stijohann, F Kargl, A Francillon… - NDSS, 2018 - wcventure.github.io
As networked embedded systems are becoming more ubiquitous, their security is becoming
critical to our daily life. While manual or automated large scale analysis of those systems …

Neufuzz: Efficient fuzzing with deep neural network

Y Wang, Z Wu, Q Wei, Q Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Coverage-guided graybox fuzzing is one of the most popular and effective techniques for
discovering vulnerabilities due to its nature of high speed and scalability. However, the …

DEVFUZZ: automatic device model-guided device driver fuzzing

Y Wu, T Zhang, C Jung, D Lee - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
The security of device drivers is critical for the entire operating system's reliability. Yet, it
remains very challenging to validate if a device driver can properly handle potentially …

Nsfuzz: Towards efficient and state-aware network service fuzzing

S Qin, F Hu, Z Ma, B Zhao, T Yin, C Zhang - ACM Transactions on …, 2023 - dl.acm.org
As an essential component responsible for communication, network services are security
critical, thus, it is vital to find their vulnerabilities. Fuzzing is currently one of the most popular …

Libafl: A framework to build modular and reusable fuzzers

A Fioraldi, DC Maier, D Zhang, D Balzarotti - Proceedings of the 2022 …, 2022 - dl.acm.org
The release of AFL marked an important milestone in the area of software security testing,
revitalizing fuzzing as a major research topic and spurring a large number of research …

[PDF][PDF] HFL: Hybrid Fuzzing on the Linux Kernel.

K Kim, DR Jeong, CH Kim, Y Jang, I Shin, B Lee - NDSS, 2020 - lifeasageek.github.io
Hybrid fuzzing, combining symbolic execution and fuzzing, is a promising approach for
vulnerability discovery because each approach can complement the other. However, we …