2022/9/28

Resilience of anti-malware programs to naive modifications of malicious binaries

Mordechai Guri, Gabi Kedma, Assaf Kachlon, Yuval Elovici

2014 IEEE Joint Intelligence and Security Informatics Conference, 152-159, 2014

The massive amounts of malware variants which are released each day demand fast in-lab analysis, along with fast in-field detection. Traditional malware detection methodology depends on either static or dynamic in-lab analysis to identify a suspicious file as malicious. When a file is identified as malware, the analyst extracts a structural signature, which is dispatched to subscriber machines. The signature should enable fast scanning, and should also be flexible enough to detect simple variants. In this paper we discuss ‘naïve’ variants which can be produced by a modestly skilled individual with publically accessible tools and knowhow which, if needed, can be found on the Internet. Furthermore, those variants can be derived directly from the malicious binary file, allowing anyone who has access to the binary file to modify it at his or her will. Modification can be automated, to produce large amounts of variants in …