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The best practice to prevent Cross Site Scripting (XSS) attacks is to applyencoders to sanitize untrusted data. To balance security and functionality,encoders should be applied to match the web page context, such as HTML body,JavaScript, and style sheets. A common programming error is the use of a wrongencoder to sanitize untrusted data, leaving the application vulnerable. Wepresent a security unit testing approach to detect XSS vulnerabilities causedby improper encoding of untrusted data. Unit tests for the XSS vulnerabilityare automatically constructed out of each web page and then evaluated by a unittest execution framework. A grammar-based attack generator is used toautomatically generate test inputs. We evaluate our approach on a large opensource medical records application, demonstrating that we can detect many 0-dayXSS vulnerabilities with very low false positives, and that the grammar-basedattack generator has better test coverage than industry best practices.

Detecting Cross-Site Scripting Vulnerabilities through Automated Unit Testing