NDLI: Covert computation: hiding code in code for obfuscation purposes

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Covert computation: hiding code in code for obfuscation purposes

Content Provider	ACM Digital Library
Author	Kieseberg, Peter Katzenbeisser, Stefan Schrittwieser, Sebastian Mulazzani, Martin Leithner, Manuel Weippl, Edgar Huber, Markus
Abstract	As malicious software gets increasingly sophisticated and resilient to detection, new concepts for the identification of malicious behavior are developed by academia and industry alike. While today's malware detectors primarily focus on syntactical analysis (i.e., signatures of malware samples), the concept of semantic-aware malware detection has recently been proposed. Here, the classification is based on models that represent the underlying machine and map the effects of instructions on the hardware. In this paper, we demonstrate the incompleteness of these models and highlight the threat of malware, which exploits the gap between model and machine to stay undetectable. To this end, we introduce a novel concept we call covert computation, which implements functionality in side effects of microprocessors. For instance, the flags register can be used to calculate basic arithmetical and logical operations. Our paper shows how this technique could be used by malware authors to hide malicious code in a harmless-looking program. Furthermore, we demonstrate the resilience of covert computation against semantic-aware malware scanners.
Starting Page	529
Ending Page	534
Page Count	6
File Format	PDF
ISBN	9781450317672
DOI	10.1145/2484313.2484384
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-05-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Side effects Code obfuscation Malware detection
Content Type	Text
Resource Type	Article

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