From Hack to Elaborate Technique—A Survey on Binary Rewriting

Author:

Wenzl Matthias1ORCID,Merzdovnik Georg2,Ullrich Johanna3,Weippl Edgar3

Affiliation:

1. FH Technikum Wien, Vienna, Austria

2. SBA Research, Vienna, Austria

3. SBA Research, Austria and CDL-SQI, TU Wien, Austria

Abstract

Binary rewriting is changing the semantics of a program without having the source code at hand. It is used for diverse purposes, such as emulation (e.g., QEMU), optimization (e.g., DynInst), observation (e.g., Valgrind), and hardening (e.g., Control flow integrity enforcement). This survey gives detailed insight into the development and state-of-the-art in binary rewriting by reviewing 67 publications from 1966 to 2018. Starting from these publications, we provide an in-depth investigation of the challenges and respective solutions to accomplish binary rewriting. Based on our findings, we establish a thorough categorization of binary rewriting approaches with respect to their use-case, applied analysis technique, code-transformation method, and code generation techniques. We contribute a comprehensive mapping between binary rewriting tools, applied techniques, and their domain of application. Our findings emphasize that although much work has been done over the past decades, most of the effort was put into improvements aiming at rewriting general purpose applications but ignoring other challenges like altering throughput-oriented programs or software with real-time requirements, which are often used in the emerging field of the Internet of Things. To the best of our knowledge, our survey is the first comprehensive overview on the complete binary rewriting process.

Funder

Christian Doppler Forschungsgesellschaft

Austrian Research Promotion Agency

City of Vienna, MA 23

Josef Ressel Center (JRC) project TARGET

Austrian Federal Ministry for Digital and Economic Affairs

National Foundation for Research, Technology, and Development is gratefully acknowledged

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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2. MFHBT: Hybrid Binary Translation System with Multi-stage Feedback Powered by LLVM;Lecture Notes in Computer Science;2023-11-08

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