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A ROBUST DEFENCE AGAINST CONTENT-SNIFFING XSS ATTACKS
  • Tadesse, Misganaw
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Advisor
이경석
Affiliation
아주대학교 일반대학원
Department
일반대학원 컴퓨터공학과
Publication Year
2010-08
Publisher
The Graduate School, Ajou University
Keyword
Computer Engineering
Description
학위논문(석사)--아주대학교 일반대학원 :컴퓨터공학과,2010. 8
Alternative Abstract
Many Web sites such as MySpace, Facebook and Twitter allow their users to upload files. However when a Web sites Content- Sniffing algorithm differs from a browsers Content- Sniffing algorithm, an attacker can often mount a Content-Sniffing XSS attack on the visitor. That is, by carefully embedding HTML code containing malicious script into a non-HTML file and uploading this file to the Web site, an attacker can deceive the visitors browser into assuming the file as HTML file and run the script code. However Content- Sniffing XSS attack can be avoided if files uploaded on the server are checked for HTML codes. In this paper we implemented a server-side ingress filter that aims to protect vulnerable browsers which may treat non-HTML files as HTML files. Our filter examines user-uploaded files against a set of potentially dangerous HTML elements (a set of regular expressions). The results of our experiment show that our automata-based scheme is highly efficient and more accurate than existing signature-based approach.
Language
eng
URI
https://dspace.ajou.ac.kr/handle/2018.oak/9533
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Type
Thesis
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