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Automatic and Context-Aware Cross-Site Scripting Filter Evasion

Author

Listed:
  • Fabrizio díAmore

    () (Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza")

  • Mauro Gentile

    () (Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza")

Abstract

Cross-Site Scripting (XSS) is a pervasive vulnerability that involves a huge portion of modern web applications. Implementing a correct and complete XSS filter for user-generated content can really be a challenge for web developers. Many aspects have to be taken into account sincethe attackers may continuously show off a potentially unlimited armory. This work proposes an approach and a tool ñ named snuck ñ for web application penetration testing, which can definitely help in finding hard-to-spot and advanced XSS vulnerabilities. This methodology is based on the inspection of the inject ionís reflection context and relies on a set of specialized and obfuscated attack vectors for bypassing filter based protections, adopted against potentially harmful inputs. In addition, XSS testing is performed in-browser, this means that a web browser is driven in reproducing the attacker and possibly the victim behavior. Results of several tests on many popular Content Management Systems proved the benefits of this approach: no other web vulnerability scanner would have been able to discover some advanced ways to bypass robust XSS filters.

Suggested Citation

  • Fabrizio díAmore & Mauro Gentile, 2012. "Automatic and Context-Aware Cross-Site Scripting Filter Evasion," DIAG Technical Reports 2012-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  • Handle: RePEc:aeg:report:2012-04
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    File URL: http://www.dis.uniroma1.it/~bibdis/RePEc/aeg/report/2012-04.pdf
    File Function: First version, 2012
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    More about this item

    Keywords

    Computer security; Network Security; Web Application Security; Browser Security; Vulnerability Detection; Cross-site Scripting; XSS;

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