Accelerating firmware vulnerability detection through directed reaching definition analysis
Year: 2025
Type: article
Abstract: The Internet of Things (IoT) has transformed industries like smart grids and homes. However, firmware security is a growing concern due to vulnerabilities like command execution and buffer overflows. To address this, we propose ReachDFuzz, a directed fuzzing method using reaching-definition analysis. It targets risky library functions affected by external inputs and integrates static analysis for path pruning. Experiments show that ReachDFuzz outperforms FirmAFL in reducing invalid paths and detecting firmware vulnerabilities.
Source: ICT Express
Authors: Kai Chen, Yufei Zhao, Jing Guo, Zhimin Gu, Longxi Han
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,500
Award: G3942774868
OpenAlex ID: W4410774465
