Title: Robust injection point-based framework for modern applications against XSS vulnerabilities in online social networks
Authors: Shashank Gupta; B.B. Gupta
Addresses: Department of Computer Engineering, National Institute of Technology Kurukshetra, Haryana, India ' Department of Computer Engineering, National Institute of Technology Kurukshetra, Haryana, India
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.
Keywords: injection points; script injection vulnerabilities; cross-site scripting attack; XSS; context-sensitive sanitisation; document object model tree; DOM.
International Journal of Information and Computer Security, 2018 Vol.10 No.2/3, pp.170 - 200
Received: 18 Nov 2016
Accepted: 19 Feb 2017
Published online: 23 Apr 2018 *