Abstract
Although vulnerability analysis based on source code has achieved a significant progress, large numbers of software exist in binary code, research of binary vulnerability analysis is more important. This paper presented an overview of the field of binary vulnerability analysis framework, classified typical vulnerability analysis technologies into intermediate language, taint analysis, symbolic execution, and fuzzing, classified current framework based on typical analysis technologies, summarized limitations of current framework and design a next generation automatic binary vulnerability analysis framework, and then we summarized the core principles, process, and limitations of each analysis technology in next generation frameworks, and discussed possible optimizations that could improved vulnerability analysis. This survey on binary vulnerability analysis can provide theoretical guidance for the development of the future binary analysis.
Supported by National University of Defense and Technology and National Natural Science Foundation No. 61402492.
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Tan, T., Wang, B., Xu, Z., Tang, Y. (2018). The New Progress in the Research of Binary Vulnerability Analysis. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11064. Springer, Cham. https://doi.org/10.1007/978-3-030-00009-7_25
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