OSmart: Whitebox Program Option Fuzzing
Kelin Wang, Mengda Chen, Liang He, Purui Su, Yan Cai, Jiongyi Chen, Bin Zhang, Chao Feng, Chaojing Tang
2024年份
2被引次数
2顶会引用
摘要
Program options are ubiquitous and serve as a fundamental mechanism for configuring and customizing software behaviors. Given their widespread use, testing program options becomes essential to ensure that the software behaves as expected across various configurations. Existing option-aware fuzzers either mutate options as if they were standard program inputs or employ NLP techniques to deduce relationships among options from the documentation. However, there has not been a whitebox approach that generates option combinations by capturing the inherent execution logic of the program.
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