OSmart: Whitebox Program Option Fuzzing
Kelin Wang, Mengda Chen, Liang He, Purui Su, Yan Cai, Jiongyi Chen, Bin Zhang, Chao Feng, Chaojing Tang
Abstract
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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Install the CLIlune papers get f7775434-4ddc-4f6a-8d13-d184b18b40c8Cited by top-tier papers2
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