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Electronic Proceedings in Theoretical Computer Science | Vol.35, Issue.Proc. TAV-WEB 2010 | | Pages

Electronic Proceedings in Theoretical Computer Science

Preventing SQL Injection through Automatic Query Sanitization with ASSIST

Raymond Mui,Phyllis Frankl  
Abstract

Web applications are becoming an essential part of our everyday lives. Many of our activities are dependent on the functionality and security of these applications. As the scale of these applications grows, injection vulnerabilities such as SQL injection are major security challenges for developers today. This paper presents the technique of automatic query sanitization to automatically remove SQL injection vulnerabilities in code. In our technique, a combination of static analysis and program transformation are used to automatically instrument web applications with sanitization code. We have implemented this technique in a tool named ASSIST (Automatic and Static SQL Injection Sanitization Tool) for protecting Java-based web applications. Our experimental evaluation showed that our technique is effective against SQL injection vulnerabilities and has a low overhead.

Original Text (This is the original text for your reference.)

Preventing SQL Injection through Automatic Query Sanitization with ASSIST

Web applications are becoming an essential part of our everyday lives. Many of our activities are dependent on the functionality and security of these applications. As the scale of these applications grows, injection vulnerabilities such as SQL injection are major security challenges for developers today. This paper presents the technique of automatic query sanitization to automatically remove SQL injection vulnerabilities in code. In our technique, a combination of static analysis and program transformation are used to automatically instrument web applications with sanitization code. We have implemented this technique in a tool named ASSIST (Automatic and Static SQL Injection Sanitization Tool) for protecting Java-based web applications. Our experimental evaluation showed that our technique is effective against SQL injection vulnerabilities and has a low overhead.

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Raymond Mui,Phyllis Frankl,.Preventing SQL Injection through Automatic Query Sanitization with ASSIST. 35 (Proc. TAV-WEB 2010),.

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