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The current static analysis approaches for detecting stack overflow vulnerabilities in binaries are only usable to the functions in system libraries and not suitable for user defined functions. In this paper, we model the characteristic of stack overflow vulnerabilities and propose a static taint analysis method, which can recognize user defined functions that may have that type of vulnerabilities...
The vulnerabilities exist in Android binary software bring critical threat to Mobile Internet security. In this paper, we put forward a novel method to detect memory corruption vulnerabilities for Android binary software which builds upon memory accession security rules and selective symbolic execution. We also implemented our prototype system and the evaluation results show that our method can detect...
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