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An Enhanced method for detecting obfuscated Javascript Malware using automated Deobfuscation
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 Title & Authors
An Enhanced method for detecting obfuscated Javascript Malware using automated Deobfuscation
Ji, Sun-Ho; Kim, Huy-Kang;
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 Abstract
With the growth of Web services and the development of web exploit toolkits, web-based malware has increased dramatically. Using Javascript Obfuscation, recent web-based malware hide a malicious URL and the exploit code. Thus, pattern matching for network intrusion detection systems has difficulty of detecting malware. Though various methods have proposed to detect Javascript malware on a users' web browser, the overall detection is needed to counter advanced attacks such as APTs(Advanced Persistent Treats), aimed at penetration into a certain an organization's intranet. To overcome the limitation of previous pattern matching for network intrusion detection systems, a novel deobfuscating method to handle obfuscated Javascript is needed. In this paper, we propose a framework for effective hidden malware detection through an automated deobfuscation regardless of advanced obfuscation techniques with overriding JavaScript functions and a separate JavaScript interpreter through to improve jsunpack-n.
 Keywords
Javascript;Malware;Obfuscation;Intrusion Detection;
 Language
Korean
 Cited by
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