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Academic Journal
Methods and software tools for combined binary code analysis
V. A. Padaryan, A. I. Getman, M. A. Solovyev, M. G. Bakulin, A. I. Borzilov, V. V. Kaushan, I. N. Ledovskich, U. V. Markin, S. S. Panasenko
Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 251-276 (2018)
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| Title | Methods and software tools for combined binary code analysis |
|---|---|
| Authors | V. A. Padaryan, A. I. Getman, M. A. Solovyev, M. G. Bakulin, A. I. Borzilov, V. V. Kaushan, I. N. Ledovskich, U. V. Markin, S. S. Panasenko |
| Publication Year |
2018
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| Source |
Труды Института системного программирования РАН, Vol 26, Iss 1, Pp 251-276 (2018)
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| Description |
This paper presents methods and tools for binary code analysis that have been developed in ISP RAS and their applications in fields of algorithm and data format recovery. The analysis subject is executable code of various general purpose CPU architectures. The analysis is carried out in lack of source code, debug records, and without specific OS version requirements. The approach consists of collecting a detailed machine instruction level execution trace; method for successive presentation level increase; extraction of code belonging to the algorithm followed by structuring of both code and data formats it processes. Important results have been achieved: an intermediate representation has been developed, that allows for carrying out most of the preliminary processing tasks and algorithm code extraction without having to focus on specifics of a given machine; and a method and software tool have been developed for automated recovery of network message and file formats. The tools have been incorporated into a unified analysis platform that supports their combined use. The architecture behind the platform is also described in the paper. Examples of its application to real programs are given.
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| Document Type |
article
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| Language |
English
Russian |
| Publisher Information |
Ivannikov Institute for System Programming of the Russian Academy of Sciences, 2018.
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| Subject Terms | |
