DDGF: Dynamic Directed Greybox Fuzzing with Path Profiling

H Fang, K Zhang, D Yu, Y Zhang - Proceedings of the 33rd ACM …, 2024‏ - dl.acm.org
Coverage-Guided Fuzzing (CGF) has become the most popular and effective method for
vulnerability detection. It is usually designed as an automated “black-box” tool. Security …

Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis

J Bundt, A Fasano, B Dolan-Gavitt… - … IEEE Conference on …, 2023‏ - ieeexplore.ieee.org
Fuzz testing is often automated, but also frequently augmented by experts who insert
themselves into the workflow in a greedy search for bugs. In this paper, we propose Homo in …

Fuzzability Testing Framework for Incomplete Firmware Binary

J Jang, G Son, H Lee, H Yun, D Kim, S Lee… - IEEE …, 2023‏ - ieeexplore.ieee.org
Fuzzing is a practical approach for finding bugs in various software. So far, a number of
fuzzers have been introduced based on new ideas towards enhancing the efficiency in …

Remotely Observing Reverse Engineers to Evaluate Software Protection

C Taylor - 2022‏ - search.proquest.com
Software often contains proprietary information---algorithms, intellectual property, and
encryption keys, for example---which malicious actors seek to access through reverse …

Towards Rigorous Evaluation of Binary Testing and Analysis

J Bundt - 2023‏ - search.proquest.com
Computer security research is an ever-evolving field that aims to make technology more
secure. Attackers constantly seek out vulnerabilities in systems, and defenders strive to …

Efficient Seed Generation for Expert-Based Directed Fuzzing

KA Koffi - 2023‏ - search.proquest.com
Fuzzing is a process for discovering inputs in a program that may trigger unexpected
behavior. In the past few years, fuzzing has gained traction for the discovery of bugs and …