Taxonomy and classification of automatic monitoring of program security vulnerability exploitations
Journal of Systems and Software
Automated removal of cross site scripting vulnerabilities in web applications
Information and Software Technology
Scriptless attacks: stealing the pie without touching the sill
Proceedings of the 2012 ACM conference on Computer and communications security
A survey on server-side approaches to securing web applications
ACM Computing Surveys (CSUR)
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Cross-site Scripting (XSS) has emerged to one of the most prevalent type of security vulnerabilities. While the reason for the vulnerability primarily lies on the server-side, the actual exploitation is within the victim's web browser on the client-side. Therefore, an operator of a web application has only very limited evidence of XSS issues. In this paper, we propose a passive detection system to identify successful XSS attacks. Based on a prototypical implementation, we examine our approach's accuracy and verify its detection capabilities. We compiled a data-set of 500.000 individual HTTP request/response-pairs from 95 popular web applications for this, in combination with both real word and manually crafted XSS-exploits; our detection approach results in a total of zero false negatives for all tests, while maintaining an excellent false positive rate for more than 80% of the examined web applications.