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- W2008592783 abstract "Traditional Fuzzing is simple and easy to deploy but inefficient due to different inputs usually execute the redundant path. In this paper, we put forward a binary-oriented Fuzzing technique based on input format analysis and dynamic taint analysis, which can detect vulnerability more efficient than traditional Fuzzing method. We implemented a prototype system called Smart and Directed Fuzz (SDFuzz), which first searches the locations where interested functions are called, then uses dynamic taint analysis technique to classify input data into safety-related data and safety-unrelated data, finally mutates safety-related data to direct the test procedure. The evaluation shows that our method can be used to detect vulnerabilities in binary software efficiently." @default.
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- W2008592783 date "2014-06-01" @default.
- W2008592783 modified "2023-10-02" @default.
- W2008592783 title "Directed Fuzzing Based on Dynamic Taint Analysis for Binary Software" @default.
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- W2008592783 doi "https://doi.org/10.4028/www.scientific.net/amm.571-572.539" @default.
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