Detection of Javascript based Heapspray Attacks

• Main Authors: Chien-Yang Hsu, 徐千洋
• Other Authors: Tzong-Chen Wu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/7nks6a

碩士 === 國立臺灣科技大學 === 資訊管理系 === 99 === In recent years, the way the ever-changing network attacks, operating system and application software also been trying to join the security protection mechanisms to cope with new types of attack techniques. Hackers used to invade the present approach is nothing more than personal computer users to browse the Internet through a malicious Web page and through e-mail attacks, malicious file attachment method to be used as a spread malware. Google has released a malicious Web page research report that in about 450 million Web sites, 10% of the malicious Web site the browser will cause harm, and according to the report of Symantec, malicious attacks on PDF files accounted for 65% in 2010of al, malicious web pages and malicious PDF files have become an important way to spread malware. Due to the attack technique used by current PDF file and malicious Web page is via Javascript with heapspray, an overview of related research, most of the attacks against the network for feature matching or the efficiency of simulation execution is not high, light , This study is suitable for rapid, universal and high accuracy to detect heapspray.