EFACT: An External Function Auto-Completion Tool to strengthen static binary lifting

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2024-05-17 DOI:10.1016/j.jss.2024.112092
Yilei Zhang, Haoyu Liao, Zekun Wang, Bo Huang, Jianmei Guo
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Abstract

Static binary lifting is essential in binary rewriting frameworks. Existing tools overlook the impact of External Function Completion (EXFC) in static binary lifting. EXFC recovers the declarations of External Functions (EXFs, functions defined in standard shared libraries) using only the function symbols available. Incorrect EXFC can misinterpret the source binary, or cause memory overflows in static binary translation, which eventually results in program crashes. Notably, existing tools struggle to recover the declarations of mangled EXFs originating from binaries compiled from C++. Moreover, they require time-consuming manual processing to support new libraries.

This paper presents EFACT, an External Function Auto-Completion Tool for static binary lifting. Our EXF recovery algorithm better recovers the declarations of mangled EXFs, particularly addressing the template specialization mechanism in C++. EFACT is designed as a lightweight plugin to strengthen other static binary rewriting frameworks in EXFC. Our evaluation shows that EFACT outperforms RetDec and McSema in mangled EXF recovery by 96.4% and 97.3% on SPECrate 2017.

Furthermore, we delve deeper into static binary translation and address several cross-ISA EXFC problems. When integrated with McSema, EFACT correctly translates 36.7% more benchmarks from x86-64 to x86-64 and 93.6% more from x86-64 to AArch64 than McSema alone on EEMBC.

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EFACT:加强二进制静态提升的外部函数自动完成工具
静态二进制提升在二进制重写框架中至关重要。现有工具忽视了外部函数补全(EXFC)在静态二进制提升中的影响。EXFC 仅使用可用的函数符号来恢复外部函数(EXF,标准共享库中定义的函数)的声明。不正确的 EXFC 会误解源二进制文件,或在静态二进制转换中导致内存溢出,最终导致程序崩溃。值得注意的是,现有工具很难恢复源于 C++ 编译的二进制文件中被弄错的 EXF 声明。此外,它们还需要耗时的人工处理才能支持新的库。本文介绍了用于静态二进制转换的外部函数自动完成工具 EFACT。我们的 EXF 恢复算法能更好地恢复被混淆的 EXF 声明,特别是解决 C++ 中的模板特化机制。EFACT 被设计成一个轻量级插件,用于加强 EXFC 中的其他静态二进制重写框架。我们的评估结果表明,在 SPECrate 2017 上,EFACT 的误码 EXF 恢复率分别比 RetDec 和 McSema 高 96.4% 和 97.3%。此外,我们还深入研究了静态二进制翻译,并解决了几个跨 ISA EXFC 问题。与 McSema 集成后,EFACT 在 EEMBC 上正确翻译 x86-64 到 x86-64 的基准比单独翻译 McSema 多 36.7%,正确翻译 x86-64 到 AArch64 的基准比单独翻译 McSema 多 93.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: • Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution • Agile, model-driven, service-oriented, open source and global software development • Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems • Human factors and management concerns of software development • Data management and big data issues of software systems • Metrics and evaluation, data mining of software development resources • Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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