Presentation 2012-07-19
Identifying the Code to be Analyzed with Taing Tags
Yuhei KAWAKOYA, Makoto IWAMURA, Takeo HARIU,
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Abstract(in English) Executing and analyzing malware in a virtual machine is an approach widely used for understanding the behaviors of malware. In such a case, since there are multiple processes running in a virtual machine, making a correct distinction between target processes and the others is a requirement. Process IDs, CR3 register, or memory address, i.e. OS semantics information, are usually used for making the distinction. In this paper, we propose an approach for identifying the targeted program to be analyzed using taint tags. Our approach makes it possible to correctly identify the code targeted for analysis without depending on the guest OS. To demonstrate the effectiveness of our approach, we have conducted experiments with various versions of Windows and Linux as the guest OS. The results show our approach is capable of correctly identifying the code to be analyzed, even with different OSes.
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Keyword(in English) Maiware / Dynamic Analysis / Taint Tag / Virtual Machine / Semantic Gap
Paper # ISEC2012-20,SITE2012-16,ICSS2012-22,EMM2012-12
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Committee SITE
Conference Date 2012/7/12(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identifying the Code to be Analyzed with Taing Tags
Sub Title (in English)
Keyword(1) Maiware
Keyword(2) Dynamic Analysis
Keyword(3) Taint Tag
Keyword(4) Virtual Machine
Keyword(5) Semantic Gap
1st Author's Name Yuhei KAWAKOYA
1st Author's Affiliation NTT Secure Platform Labratories()
2nd Author's Name Makoto IWAMURA
2nd Author's Affiliation NTT Secure Platform Labratories
3rd Author's Name Takeo HARIU
3rd Author's Affiliation NTT Secure Platform Labratories
Date 2012-07-19
Paper # ISEC2012-20,SITE2012-16,ICSS2012-22,EMM2012-12
Volume (vol) vol.112
Number (no) 127
Page pp.pp.-
#Pages 6
Date of Issue