rev.ng:一个统一的二进制分析框架,用于恢复CFGs和功能边界

A. Federico, Mathias Payer, G. Agosta
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引用次数: 63

摘要

静态二进制分析是评估第三方二进制文件和遗留程序安全性的关键工具。大多数形式的二进制分析依赖于两个关键信息的可用性:程序的控制流图和功能边界。然而,当前的工具很难提供准确和精确的结果,特别是在处理手写的汇编函数和重要的控制流转移指令时,例如尾部调用。此外,大多数现有的解决方案都是特别的,依赖于手工编码的启发式方法,并且与特定的体系结构相关联。在本文中,我们强调了架构不可知的静态二进制分析框架在不使用调试信息或符号的情况下提供有关程序CFG和功能边界的准确信息所面临的挑战。我们提出了一组分析来解决谓词指令、无返回函数、尾部调用和上下文相关的CFG。rev.ng是一个基于QEMU和LLVM的二进制分析框架,可以处理QEMU支持的所有17种架构,并生成一个可编译的LLVM IR。我们在LLVM IR之上实现了我们所描述的分析。在广泛的评估中,我们使用GCC和clang在MIPS、ARM和x86-64编译的二进制文件上测试了我们的工具,并将它们与业界最先进的工具IDA Pro和两个知名的学术工具BAP/ByteWeight和angr进行了比较。在所有情况下,rev.ng生成的CFG和功能边界的质量与替代方案相当或有所改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
rev.ng: a unified binary analysis framework to recover CFGs and function boundaries
Static binary analysis is a key tool to assess the security of third-party binaries and legacy programs. Most forms of binary analysis rely on the availability of two key pieces of information: the program's control-flow graph and function boundaries. However, current tools struggle to provide accurate and precise results, in particular when dealing with hand-written assembly functions and non-trivial control-flow transfer instructions, such as tail calls. In addition, most of the existing solutions are ad-hoc, rely on hand-coded heuristics, and are tied to a specific architecture. In this paper we highlight the challenges faced by an architecture agnostic static binary analysis framework to provide accurate information about a program's CFG and function boundaries without employing debugging information or symbols. We propose a set of analyses to address predicate instructions, noreturn functions, tail calls, and context-dependent CFG. rev.ng, our binary analysis framework based on QEMU and LLVM, handles all the 17 architectures supported by QEMU and produces a compilable LLVM IR. We implement our described analyses on top of LLVM IR. In an extensive evaluation, we test our tool on binaries compiled for MIPS, ARM, and x86-64 using GCC and clang and compare them to the industry's state of the art tool, IDA Pro, and two well-known academic tools, BAP/ByteWeight and angr. In all cases, the quality of the CFG and function boundaries produced by rev.ng is comparable to or improves over the alternatives.
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