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Automatic and Context-Aware Cross-Site Scripting Filter Evasion

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Author Info

  • Fabrizio d’Amore

    ()
    (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")

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    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 – named snuck – 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 ion’s 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.

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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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    Bibliographic Info

    Paper provided by Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza" in its series DIAG Technical Reports with number 2012-04.

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    Length: 58 pages
    Date of creation: Apr 2012
    Date of revision:
    Handle: RePEc:aeg:report:2012-04

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    Related research

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

    This paper has been announced in the following NEP Reports:

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