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Automatic Detection and Bypassing of Anti-Debugging Techniques for Microsoft Windows EnvironmentsPARK, J. , JANG, Y.-H. , HONG, S. , PARK, Y.
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computer hacking, computer security, debugging, reverse engineering, software protection
anti(10), link(9), software(7), malware(7), debugging(7), security(6), binary(5), analysis(5), ollydbg(4), code(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2019-05-31
Volume 19, Issue 2, Year 2019, On page(s): 23 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.02003
Web of Science Accession Number: 000475806300003
SCOPUS ID: 85066320679
In spite of recent remarkable advances in binary code analysis, adversaries are still using diverse anti-reversing techniques for obfuscating code and making analysis difficult. Unlike most of the previous work that relies on debugger-plugins for neutralizing anti-debugging techniques, we focus on the Pin, which is one of the most widely used DBI (Dynamic Binary Instrumentation) tools in 80x86 environments. In this paper, we present an automatic anti-debugging detection/bypassing scheme using the Pin. In order to evaluate the effectiveness of our algorithm, we conducted experiments on 17 most widely used (commercial) protectors, which results in bypassing all anti-debugging techniques automatically. Particularly, our experiment includes Safengine, which is one of the most complex commercial protectors and, to the best of our knowledge, it has not been successfully analyzed by academic researchers up to now. Also, experimental results show that the proposed scheme performs better than the most recent work, Apate.
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 Bypassing Anti-Analysis of Commercial Protector Methods Using DBI Tools, Lee, Young Bi, Suk, Jae Hyuk, Lee, Dong Hoon, IEEE Access, ISSN 2169-3536, Issue , 2021.
Digital Object Identifier: 10.1109/ACCESS.2020.3048848 [CrossRef]
 DBI, debuggers, VM: gotta catch them all, Plumerault, François, David, Baptiste, Journal of Computer Virology and Hacking Techniques, ISSN 2263-8733, Issue 2, Volume 17, 2021.
Digital Object Identifier: 10.1007/s11416-020-00371-x [CrossRef]
 Large-Scale Analysis on Anti-Analysis Techniques in Real-World Malware, Kim, Minho, Cho, Haehyun, Yi, Jeong Hyun, IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3190978 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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