A client‐server JavaScript code rewriting‐based framework to detect the XSS worms from online social network. (31st May 2018)

• Record Type: Journal Article
• Authors: Gupta, Shashank; Gupta, B.B.; Chaudhary, Pooja
• Other Names: Xiang Yang guestEditor.; Alam Bhuiyan Md Zakirul guestEditor.; Castiglione Aniello guestEditor.; Wang Yu guestEditor.; Shen Hong guestEditor.; Tian Hui guestEditor.; Sang Yingpeng guestEditor.; Acacio Manuel E. guestEditor.; Sahuquillo Julio guestEditor.
• Is Part Of: Concurrency and computation. Volume 31:Number 21(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-31
• Subjects: Cross‐Site Scripting (XSS) worms -- Online Social Networking (OSN) security -- untrusted JavaScript code -- web security -- XSS filters; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4646
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: This article presents a client‐server JavaScript code rewriting‐based framework that protects and preserves the privacy of online users against XSS worms on Online Social Network (OSN). The server‐side generates an estimation graph which is explored for extracting the JavaScript code and shifts such code in a separate file. This shifting is done for completely isolating the untrusted JavaScript code and data. The client‐side performs runtime monitoring of the dynamic JavaScript code to recognize the tainted flow of untrusted JavaScript variables. The context of such dynamic tainted variables is determined, for performing the string analysis to examine whether it may be considered as vulnerable point or not. Finally, decoding operation is performed on the obfuscated malicious JavaScript code and the JavaScript code embedded in the parameter values of HTTP request. If match is found, then XSS attack vector is present. Otherwise, it is not. The authors have developed their prototype on the Java development framework and have estimated the malicious script alleviation capability of this proposed work on tested web applications (Humhub, Elgg, WordPress, Joomla, Drupal).