• Title/Summary/Keyword: Automatic model selection

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Static Analysis Based on Backward Control Flow Graph Generation Method Model for Program Analysis (프로그램 분석을 위한 정적분석 기반 역추적 제어흐름그래프 생성 방안 모델)

  • Park, Sunghyun;Kim, Yeonsu;Noh, Bongnam
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.5
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    • pp.1039-1048
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    • 2019
  • Symbolic execution, an automatic search method for vulnerability verification, has been technically improved over the last few years. However, it is still not practical to analyze the program using only the symbolic execution itself. One of the biggest reasons is that because of the path explosion problem that occurs during program analysis, there is not enough memory, and you can not find the solution of all paths in the program using symbolic execution. Thus, it is practical for the analyst to construct a path for symbolic execution to a target with vulnerability rather than solving all paths. In this paper, we propose a static analysis - based backward CFG(Control Flow Graph) generation technique that can be used in symbolic execution for program analysis. With the creation of a backward CFG, an analyst can select potential vulnerable points, and the backward path generated from that point can be used for future symbolic execution. We conducted experiments with Linux binaries(x86), and indeed showed that potential vulnerability selection and backward CFG path generation were possible in a variety of binary situations.