NDLI: MUTEC: Mutation-based testing of Cross Site Scripting

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MUTEC: Mutation-based testing of Cross Site Scripting

Content Provider	IEEE Xplore Digital Library
Author	Shahriar, H. Zulkernine, M.
Copyright Year	2009
Description	Author affiliation: School of Computing, Queen's University, Kingston, Canada (Shahriar, H.; Zulkernine, M.)
Abstract	Cross Site Scripting (XSS) is one of the worst vulnerabilities that allow malicious attacks such as cookie thefts and web page defacements. Testing an implementation against XSS vulnerabilities (XSSVs) can avoid these consequences. Obtaining an adequate test data set is essential for testing of XSSVs. An adequate test data set contains effective test cases that can reveal XSSVs. Unfortunately, traditional testing techniques for XSSVs do not address the issue of adequate testing. In this work, we apply the idea of mutation-based testing technique to generate adequate test data sets for testing XSSVs. Our work addresses XSSVs related to web-applications that use PHP and JavaScript code to generate dynamic HTML contents. We propose 11 mutation operators to force the generation of adequate test data set. A prototype mutation-based testing tool named MUTEC is developed to generate mutants automatically. The proposed operators are validated by using five open source applications having XSSVs. The results indicate that the proposed operators are effective for testing XSSVs.
Starting Page	47
Ending Page	53
File Size	149138
Page Count	7
File Format	PDF
ISBN	9781424437252
DOI	10.1109/IWSESS.2009.5068458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-19
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Java Automatic testing Markup languages Genetic mutations Web pages Prototypes HTML Security Monitoring
Content Type	Text
Resource Type	Article

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