Web sanitization from malicious code injection attacks

Abstract

We propose a new methodology to sanitize web pages to prevent code injection attacks. One of a common programming error that usually happens in the web application is using of an improper encoding method to sanitize the source code of the web page. Our methodology provides a proper encoding method to the webpages which have an improper encoding of untrusted data, so it can stop and prevent code injection attacks caused by improper encoding of untrusted data from occurring. Our framework is an automatic encoding method to sanitize web browser contains multiple interpreters, such as: JavaScript, CSS, HTML, and URI. In this methodology we also need to detect zero- day attack (XSS vulnerabilities) which may not be detected by detection tools. Our methodology can prevent a many types of code injection vulnerabilities, such as: XSS injection vulnerabilities. There is a study that sponsored by Google showed that thirty percent usage of encoding method is incorrect. This incorrect encoding leads to code injection vulnerabilities in the webpages. In some encoding cases we should utilize more than one encoding method in the context, such as: URI and JavaScript encoding methods.