| Summary: | 碩士 === 國立中山大學 === 資訊管理學系研究所 === 95 === Including of HTML, client-side script, and other relative technology, Dynamic HTML (DHTML) is a mechanism of creating dynamic contents in a web page. Nowadays, because of the demand of dynamic web pages and the diffusion of web applications, attackers get a new, easily-spread, and hard-detected intrusion vector － DHTML. And commercial anti-virus softwares, commonly using pattern-matching approach, still have weakness against commonly obfuscated malicious DHTML.
According to this condition, we propose a new detective algorithm Model-based Reasoning (MoBR), basing on the respects of model and reasoning, that is resilient to common obfuscations used by attackers and can correctly determine whether a webpage is malicious or not. Through describing text and semantic signatures, we constructs the model of a malicious DHTML by the mechanism of templates. Experimental evaluation by actual DHTML demonstrates that our detection algorithm is tolerant to obfuscation and perform much superior to commercial anti-virus softwares. Furthermore, it can detect variants of malicious DHTML with a low false positive rate.
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