Title :
Malware examiner using disassembled code (MEDiC)
Author :
Sulaiman, A. ; Ramamoorthy, K. ; Mukkamala, S. ; Sung, A.H.
Author_Institution :
Dept. of Comput. Sci., New Mexico Tech, USA
Abstract :
Current static malware detection techniques have serious limitations, and sandbox testing also fails to provide a complete solution due to time constraints. In this paper, we present a robust assembly language signature-based malware detection technique, with emphasis on detecting obfuscated (or polymorphic) malware and mutated (or metamorphic) malware. The hypothesis is that all versions of the same malware share a common core signature that is a combination of several features of the code. After a particular malware has been first identified, it can be analyzed to extract the signature, which provides a basis for detecting variants and mutants of the same malware in the future. Given that the technique uses disassembled code, it can be used on any operating system. Encouraging experimental results on a large set of recent malware are presented.
Keywords :
assembly language; computer viruses; program diagnostics; MEDiC; assembly language signature; disassembled code; malware detection; malware examiner; metamorphic malware; mutant detection; mutated malware; obfuscation; polymorphic malware; sandbox testing; signature extraction; time constraint; variant detection; Assembly; Computer science; Computer worms; Control systems; Failure analysis; Operating systems; Payloads; System testing; Time factors; Viruses (medical);
Conference_Titel :
Information Assurance Workshop, 2005. IAW '05. Proceedings from the Sixth Annual IEEE SMC
Print_ISBN :
0-7803-9290-6
DOI :
10.1109/IAW.2005.1495985