Website Security vulnerability Detection and Prevention of SQLI and XSS Attack

Abstract

In the global age of information web applications are the backbone of the technology in which a world becomes one village. In this day it is the era of computers which interconnects various business organizations which uses the internet for their financial transactions, educational endeavors, and countless other activities. DSRM and A rigorous survey have been conducted and consequently, comparative analysis of various detection and prevention techniques is done with respect to various types of attacks.in current research various Hashing algorithm for the detection and prevention of SQLIA are analyzed and few tested. From the survey of various papers, it is found that the SQL Injection and Cross-site Scripting (XSS) attacks are most powerful in today?�?s web application. Hence, the big challenge became to secure such a website against attack via the Internet. The issue of SQLIA still exists and has become a giant online threat to many companies who became a victim of SQLIA vulnerability and cost them a lot of money. This mainly because of the high flexibility for programmer in SQL language implemented successfully and fully able to fix SQLIA and XSS vulnerabilities. Our Proposed hashing algorithm for Detecting and Preventing SQLIA & XSS approach has been implemented successfully and fully able to fix SQLIA and XSS vulnerabilities. The method involves the use of hashing technique, where the hashing algorithm used is SHA512. The technique behind building a good, secure cryptographic hash function is to devise a good compression function in which each input bit affects as many output bits as possible. The results obtained by the implementation and evaluation are measured in number of test cases. The result shows that the output is encouraging and further refinement of the work can produc