Technology of Information Security
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3465-3469,3474

Deobfuscation method of obfuscator low level virtual machine based on dynamic analysis

Kou Yua
Wang Qijunb
a. School of Computer Science, b. School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China

Abstract

The obfuscator low level virtual machine(OLLVM) is a well-known code obfuscation tool, which is not only used to protect the security of commercial software, but also used by malicious code developers to increase the difficulty of analysis. In order to facilitate the analysis of ARM malware by security researchers, this paper proposed and implemented an OLLVM automatic deobfuscation method based on dynamic analysis. For bogus control flow, this method monitored memory read and write based on the memory characteristics of opaque predicates and used dynamic taint analysis technology to identify it to complete deobfuscation. For control flow flattening, the method completed deobfuscation by dynamically running the program and recording the execution order of basic blocks. At the same time, it used multiple execution paths exploration to improve code coverage, and finally restored the relationship between basic blocks through instruction repair. The experimental results show that the method can accurately eliminate the conditional branches caused by obfuscation in executable programs, and the running results of the deobfuscated programs are consistent with the unobfuscated programs. It verifies that the method can effectively complete the deobfuscation of ARM obfuscated programs.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0157
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Information Security
Pages: 3465-3469,3474
Serial Number: 1001-3695(2022)11-043-3465-05

Publish History

[2022-06-21] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

寇宇, 王其军. 基于动态分析的底层虚拟机混淆器反混淆方法 [J]. 计算机应用研究, 2022, 39 (11): 3465-3469,3474. (Kou Yu, Wang Qijun. Deobfuscation method of obfuscator low level virtual machine based on dynamic analysis [J]. Application Research of Computers, 2022, 39 (11): 3465-3469,3474. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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