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Robust injection point-based framework for modern applications against XSS vulnerabilities in online social networks

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dc.contributor.author Gupta, Shashank
dc.date.accessioned 2024-10-30T09:44:24Z
dc.date.available 2024-10-30T09:44:24Z
dc.date.issued 2018-05
dc.identifier.uri https://www.inderscienceonline.com/doi/abs/10.1504/IJICS.2018.091455
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16287
dc.description.abstract The authors introduced a universal and an automated server-side flexible framework, XSS-explorer, which automatically scrutinises the web applications in order to discover XSS attack vectors. XSS-explorer is capable enough for exploring and recognising all the injection points of web application and produces explicit XSS attack injection investigations for all such injection points. Our approach is based on methods permitting precise filling of injection points of forms with usable info. The identification of such injection points permits our technique to retrieve each possible web page of application, allowing a wider exploration and accelerating the discovery frequency of XSS attack vectors. We evaluate efficiency of our scheme on a suite of open source multimedia applications by applying F-test hypothesis and F-measure. These evaluations indorse that precise filling of the injection points by only usable info confirms an enhanced efficiency of the tests, thus accelerating the recognition rate of XSS attacks. en_US
dc.language.iso en en_US
dc.publisher Inder Science en_US
dc.subject Computer Science en_US
dc.subject Injection points en_US
dc.subject Script injection vulnerabilities en_US
dc.subject Cross-site scripting attack en_US
dc.subject Context-sensitive sanitisation en_US
dc.subject Document object model tree en_US
dc.title Robust injection point-based framework for modern applications against XSS vulnerabilities in online social networks en_US
dc.type Article en_US


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