Publikationen

Autor	Kieseberg, Peter; Huber, Markus; Leithner, Manuel; Mulazzani, Martin; Weippl, Edgar
Datum	2013
Art	Conference Proceedings
Abstrakt	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.
ISBN	978-1-4503-1767-2
Serie	ASIA CCS '13
In	Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security table of contents, p.529-534
Publisher	ACM
Schlüssel	TUD-CS-2013-0480
Url	https://tubiblio.ulb.tu-darmstadt.de/id/eprint/98237