A Google Chromium Browser Extension for Detecting XSS Attack in HTML5 Based Websites

Arun Prasath Sivanesan, A. Mathur, A. Javaid
{"title":"A Google Chromium Browser Extension for Detecting XSS Attack in HTML5 Based Websites","authors":"Arun Prasath Sivanesan, A. Mathur, A. Javaid","doi":"10.1109/EIT.2018.8500284","DOIUrl":null,"url":null,"abstract":"The advent of HTML 5 revives the life of cross-site scripting attack (XSS) in the web. Cross Document Messaging, Local Storage, Attribute Abuse, Input Validation, Inline Multimedia and SVG emerge as likely targets for serious threats. Introduction of various new tags and attributes can be potentially manipulated to exploit the data on a dynamic website. The XSS attack manages to retain a spot in all the OWASP Top 10 security risks released over the past decade and placed in the seventh spot in OWASP Top 10 of 2017. It is known that XSS attempts to execute scripts with untrusted data without proper validation between websites. XSS executes scripts in the victim's browser which can hijack user sessions, deface websites, or redirect the user to the malicious site. This paper focuses on the development of a browser extension for the popular Google Chromium browser that keeps track of various attack vectors. These vectors primarily include tags and attributes of HTML 5 that may be used maliciously. The developed plugin alerts users whenever a possibility of XSS attack is discovered when a user accesses a particular website.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Electro/Information Technology (EIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2018.8500284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The advent of HTML 5 revives the life of cross-site scripting attack (XSS) in the web. Cross Document Messaging, Local Storage, Attribute Abuse, Input Validation, Inline Multimedia and SVG emerge as likely targets for serious threats. Introduction of various new tags and attributes can be potentially manipulated to exploit the data on a dynamic website. The XSS attack manages to retain a spot in all the OWASP Top 10 security risks released over the past decade and placed in the seventh spot in OWASP Top 10 of 2017. It is known that XSS attempts to execute scripts with untrusted data without proper validation between websites. XSS executes scripts in the victim's browser which can hijack user sessions, deface websites, or redirect the user to the malicious site. This paper focuses on the development of a browser extension for the popular Google Chromium browser that keeps track of various attack vectors. These vectors primarily include tags and attributes of HTML 5 that may be used maliciously. The developed plugin alerts users whenever a possibility of XSS attack is discovered when a user accesses a particular website.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于检测基于HTML5网站的XSS攻击的Google Chromium浏览器扩展
HTML 5的出现使跨站点脚本攻击(XSS)在网络上复活了。跨文档消息传递、本地存储、属性滥用、输入验证、内联多媒体和SVG成为严重威胁的可能目标。各种新标签和属性的引入可以被潜在地操纵来利用动态网站上的数据。XSS攻击在过去十年发布的所有OWASP十大安全风险中都占据了一席之地,并在2017年OWASP十大安全风险中排名第七。众所周知,XSS试图在没有正确验证的情况下执行带有不可信数据的脚本。XSS在受害者的浏览器中执行脚本,这些脚本可以劫持用户会话、破坏网站或将用户重定向到恶意网站。本文的重点是为流行的谷歌Chromium浏览器开发一个浏览器扩展,该扩展可以跟踪各种攻击向量。这些向量主要包括可能被恶意使用的HTML 5的标签和属性。当用户访问特定网站时发现XSS攻击的可能性时,开发的插件会提醒用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Developing A Dynamic Queueing Model for The Airport Check-in Process Issues and Challenges in VANET Routing Protocols Depiction of a Circulated Double Psi-Shaped Microstrip Antenna for Ku-Band Satellite Applications A Generic Approach CNN-Based Camera Identification for Manipulated Images Intelligent System Demonstrator for Secure Luggage Handling
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1