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arXiv · 1804.01862

Automated Detecting and Repair of Cross-Site Scripting Vulnerabilities

Mahmoud Mohammadi·Bei-Tseng Chu·Heather Richter Lipford
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Abstract

The best practice to prevent Cross Site Scripting (XSS) attacks is to apply encoders 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 wrong type of encoder to sanitize untrusted data, leaving the application vulnerable. We present a security unit testing approach to detect XSS vulnerabilities caused by improper encoding of untrusted data. Unit tests for the XSS vulnerability are constructed out of each web page and then evaluated by a unit test execution framework. A grammar-based attack generator is devised to automatically generate test inputs. We also propose a vulnerability repair technique that can automatically fix detected vulnerabilities in many situations. Evaluation of this approach has been conducted on an open source medical record application with over 200 web pages written in JSP.

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Mahmoud Mohammadi, Bei-Tseng Chu, Heather Richter Lipford. 2018-04-03. Automated Detecting and Repair of Cross-Site Scripting Vulnerabilities. https://arxiv.org/abs/1804.01862

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