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MBDS: model-based detection system for cross site scripting

Zhenyu Qi, Jing Xu, Baoguo Li, Tan Fang

Open publisher page 3 citations

Abstract

Cross site scripting (XSS) is a vulnerability that is essentially caused by the failure of checking up on user input before returning it to the client's web browsers. Using proxy servers as application-level firewalls to filter out the malicious code on the server side is a common mechanism in most of the server side proposals. But it is a passive way to detect XSS and will reduce the performance of server dramatically. This paper proposes a client-side system that automatically detects XSS vulnerability by manipulating either of two modes. Through the modified model the system has concluded that the input invalidation is the most important one in eight main reasons which causes XXS. The system also shares the vulnerability information via a central database.

About this research paper

What this paper is about

Cross site scripting (XSS) is a vulnerability that is essentially caused by the failure of checking up on user input before returning it to the client's web browsers. Using proxy servers as application-level firewalls to filter out the malicious code on the server side is a common mechanism in most of the server side proposals. But it is a passive way to detect XSS and will reduce the performance of server dramatically. This paper proposes a client-side system that automatically detects XSS vulnerability by manipulating either of two modes. Through the modified model the system has concluded that the input invalidation is the most important one in eight main reasons which causes XXS. The system also shares the vulnerability information via a central database.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Cross site scripting (XSS) is a vulnerability that is essentially caused by the failure of checking up on user input before returning it to the client's web browsers. Using proxy servers as application-level firewalls to filter out the malicious code on the server side is a common mechanism in most of the server side proposals. But it is a passive way to detect XSS and will reduce the performance of server dramatically. This paper proposes a client-side system that automatically detects XSS vulnerability by manipulating either of two modes. Through the modified model the system has concluded that the input invalidation is the most important one in eight main reasons which causes XXS. The system also shares the vulnerability information via a central database.

Key concepts: Cross-site scripting, Computer science, Scripting language, Server-side, Server, Client-side, Vulnerability (computing), Web server

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