NDLI: ReconBin: Reconstructing Binary File from Execution for Software Analysis

Content Provider	IEEE Xplore Digital Library
Author	Lingyun Ying Purui Su Dengguo Feng Xianggen Wang Yi Yang Yu Liu
Copyright Year	2009
Abstract	Static analysis is one of the most popular approaches of software analysis. As more and more software protects their code by transformation or encryption, then releases them at runtime dynamically, it is hard to statically analyze these protected executables because of the failure of disassembling. In this paper, we propose a novel and general technique to reconstruct binary files for static analysis by monitoring the executions of protected executables. Our approach can identify and extract the dynamically released code at runtime, and at the same time record the control transfers information, and then reconstruct a binary file based on the original executable. The whole process does not depend on any prior knowledge on the protection methods. Experiments on our prototype ReconBin show that our approach can properly reconstruct the executables protected by SMC and packers, and the reconstructed binary files can be successfully analyzed by static analysis tools such as IDA Pro. We show that it also can be used to analyze the code dynamically generated by virtual machines, emulators, and buffer overflow attacks, which also dynamically inject attack code into stack and direct execution flow to it.
Starting Page	222
Ending Page	229
File Size	618152
Page Count	8
File Format	PDF
ISBN	9780769537580
DOI	10.1109/SSIRI.2009.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	binary analysis Virtual machining Data mining Sliding mode control software security analysis Condition monitoring malware analysis Runtime execution monitoring Failure analysis Prototypes Buffer overflow Cryptography Protection
Content Type	Text
Resource Type	Article

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