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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vasudevan, A. Yerraballi, R. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX (Vasudevan, A.; Yerraballi, R.) |
| Abstract | Fine-grained code analysis in the context of malware is a complex and challenging task that provides insight into malware code-layers (polymorphic/metamorphic), its data encryption/decryption engine, its memory layout etc., important pieces of information that can be used to detect and counter the malware and its variants. Current research in fine-grained code analysis can be categorized into static and dynamic approaches. Static approaches have been tailored towards malware and allow exhaustive fine-grained malicious code analysis, but lack support for self-modifying code, have limitations related to code-obfuscations and face the undecidability problem. Given that most if not all malware employ self-modifying code and code-obfuscations, poses the need to analyze them at runtime using dynamic approaches. However, current dynamic approaches for fine-grained code analysis are not tailored specifically towards malware and lack support for multithreading, self-modifying/self-checking code and are easily detected and countered by ever-evolving anti-analysis tricks employed by malware. To address this problem, we propose a powerful dynamic fine-grained malicious code analysis framework, codenamed Cobra, to combat malware that are becoming increasingly hard to analyze. Our goal is to provide a stealth, efficient, portable and easy-to-use framework supporting multithreading, self-modifying/self-checking code and any form of code obfuscation in both user- and kernel-mode on commodity operating systems. Cobra cannot be detected or countered and can be dynamically and selectively deployed on malware specific code-streams while allowing other code-streams to execute as is. We also illustrate the framework utility by describing our experience with a tool employing Cobra to analyze a real-world malware |
| Sponsorship | IBM Corp |
| Starting Page | 15 |
| Ending Page | 279 |
| File Size | 390925 |
| Page Count | 265 |
| File Format | |
| ISBN | 0769525741 |
| ISSN | 10816011 |
| DOI | 10.1109/SP.2006.9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information analysis Cryptography Engines Counting circuits Runtime Multithreading Operating systems Performance analysis Computer science Data engineering |
| Content Type | Text |
| Resource Type | Article |
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