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2007 31st Annual International Computer Software and Applications Conference
A Static Analysis Framework For Detecting SQL Injection Vulnerabilities
Beijing, China
July 24-July 27
ISBN: 0-7695-2870-8
Xiang Fu, Georgia Southwestern State University, Americus, GA
Xin Lu, Georgia Southwestern State University, Americus, GA
Boris Peltsverger, Georgia Southwestern State University, Americus, GA
Shijun Chen, Georgia Southwestern State University, Americus, GA
Kai Qian, Southern Polytechnic State University,Marietta, GA
Lixin Tao, Pace University, Pleasantville, NY
Recently SQL Injection Attack (SIA) has become a major threat to Web applications. Via carefully crafted user input, attackers can expose or manipulate the back-end database of a Web application. This paper proposes the construction and outlines the design of a static analysis framework (called SAFELI) for identifying SIA vulnerabilities at compile time. SAFELI statically inspects MSIL bytecode of an ASP.NET Web application, using symbolic execution. At each hotspot that submits SQL query, a hybrid constraint solver is used to find out the corresponding user input that could lead to breach of information security. Once completed, SAFELI has the future potential to discover more delicate SQL injection attacks than black-box Web security inspection tools.
Citation:
Xiang Fu, Xin Lu, Boris Peltsverger, Shijun Chen, Kai Qian, Lixin Tao, "A Static Analysis Framework For Detecting SQL Injection Vulnerabilities," compsac, vol. 1, pp.87-96, 2007 31st Annual International Computer Software and Applications Conference, 2007
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