BinPointer:精确的,健全的,可扩展的二进制级指针分析

Sun Hyoung Kim, Dongrui Zeng, Cong Sun, Gang Tan
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引用次数: 2

摘要

二进制级指针分析对于二进制级应用程序(如逆向工程和二进制解压缩)至关重要。在本文中,我们提出了一种新的二进制级过程间指针分析,它依赖于偏移敏感的值跟踪分析来实现高精度。我们还提出了一种基于参考输入数据触发的运行时内存访问的可靠性和精度评估方法。我们的实验结果表明,BinPointer在保持可接受的可扩展性的同时,比以前的工作具有更高的精度。BinPointer的合理性也通过运行时数据进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BinPointer: towards precise, sound, and scalable binary-level pointer analysis
Binary-level pointer analysis is critical to binary-level applications such as reverse engineering and binary debloating. In this paper, we propose BinPointer, a new binary-level interprocedural pointer analysis that relies on an offset-sensitive value-tracking analysis to achieve high precision. We also propose a soundness and precision evaluation methodology based on runtime memory accesses triggered by reference input data. Our experimental results demonstrate that BinPointer has higher precision over prior work, while maintaining acceptable scalability. The soundness of BinPointer is also validated through runtime data.
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