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Title: Cubismo: decloaking server-side malware via cubist program analysis
Malware written in dynamic languages such as PHP routinely employ anti-analysis techniques such as obfuscation schemes and evasive tricks to avoid detection. On top of that, attackers use automated malware creation tools to create numerous variants with little to no manual effort. This paper presents a system called Cubismo to solve this pressing problem. It processes potentially malicious files and decloaks their obfuscations, exposing the hidden malicious code into multiple files. The resulting files can be scanned by existing malware detection tools, leading to a much higher chance of detection. Cubismo achieves improved detection by exploring all executable statements of a suspect program counterfactually to see through complicated polymorphism, metamorphism and, obfuscation techniques and expose any malware. Our evaluation on a real-world data set collected from a commercial web hosting company shows that Cubismo is highly effective in dissecting sophisticated metamorphic malware with multiple layers of obfuscation. In particular, it enables VirusTotal to detect 53 out of 56 zero-day malware samples in the wild, which were previously undetectable.  more » « less
Award ID(s):
1850392 1916499 1916550
PAR ID:
10129206
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Proceedings of the 35th Annual Computer Security Applications Conference
Page Range / eLocation ID:
430 to 443
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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