DocumentCode
2872659
Title
Normalizing Metamorphic Malware Using Term Rewriting
Author
Walenstein, Andrew ; Mathur, Rachit ; Chouchane, Mohamed R. ; Lakhotia, Arun
Author_Institution
University of Louisiana at Lafayette, USA
fYear
2006
fDate
Sept. 2006
Firstpage
75
Lastpage
84
Abstract
Metamorphic malware - including certain viruses and worms - rewrite their code during propagation. This paper presents a method for normalizing multiple variants of metamorphic programs that perform their transformations using finite sets of instruction-sequence substitutions. The paper shows that the problem of constructing a normalizer can, in specific contexts, be formalized as a term rewriting problem. A general method is proposed for constructing normalizers. It involves modeling the metamorphic program¿s transformations as rewrite rules, and then modifying these rules to create a normalizing rule set. Casting the problem in terms of term rewriting exposes key challenges for constructing effective normalizers. In cases where the challenges cannot be met, approximations are proposed. The normalizer construction method is applied in a case study involving the virus called"W32.Evolt". The results demonstrate that both the overall approach and the approximation schemes may have practical use on realistic malware, and may thus have the potential to improve signature-based malware scanners.
Keywords
Casting; Computer aided instruction; Computer viruses; Computer worms; Conferences; Data mining; Emulation; Manipulator dynamics; Pattern matching; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
Source Code Analysis and Manipulation, 2006. SCAM '06. Sixth IEEE International Workshop on
Conference_Location
Philadelphia, PA, USA
Print_ISBN
0-7695-2353-6
Type
conf
DOI
10.1109/SCAM.2006.20
Filename
4026857
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