Hybrid approach for Detection and Analysis of SQL and XSS vulnerabilities
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Monali Shetty, Chirantar Nalawade
|DOI : 10.14445/22315381/IJETT-V59P206|
Monali Shetty, Chirantar Nalawade"Hybrid approach for Detection and Analysis of SQL and XSS vulnerabilities", International Journal of Engineering Trends and Technology (IJETT), V59(1),37-41 May 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Web applications have become one of the most popular targets of cyber-attacks during the last few years. According to Open Web Application Security Project report, SQL injection and XSS are top two vulnerabilities found to be present in majority of web application. As a result, identification and analysis of vulnerabilities present in the web applications are important to prevent potential attacks. Current industrial approaches involve white-box testing which examines source code of applications; whereas black-box testing makes use of external attacks on the application. However, white-box testing produces large number of false positives which decreases overall efficiency, whereas detection rate of vulnerability in black box testing is low. In this research paper, we present a new technique to find vulnerabilities which are able to enhance detection rate of vulnerabilities and increases efficiency by decreasing number of false positives as well as false negatives. We focus on an innovative tool that implements hybrid approach which combines white-box and black-box testing techniques. At the end we have given an evaluation table, which compares our scanner with other two web scanners.
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Web application security, SQL injection, XSS injection, vulnerability detection, hybrid approach, white -box testing, black-box testing.