Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9210
Title: Efficient classiffication of True Positive and False Positive vulnerabilities for XSS and CSRF vulnerabilities
Authors: Lad, Himani
Keywords: Computer 2017
Project Report 2017
Computer Project Report
Project Report
17MCEI
17MCEI06
INS
INS 2017
CE (INS)
Issue Date: 1-Jun-2019
Publisher: Institute of Technology
Series/Report no.: 17MCEI06;
Abstract: Security testing is an essential part of software testing. If the software or a web application is not secured enough, it is very easy for an attacker to invade the security and do malicious activity. Testing tools used to test the application detects the vulnerability which can be True positive or False Positive. In order to classify them, tester tests these vulnerabilities manually. In this article, we propose an approach that will test two of the popular vulnerabilities Cross Site Scripting(XSS) and Cross Site Request Forgery(CSRF) with a single script and classify them into True positive and False positive. This will reduce the total testing timing as in a single scan both the vulnerabilities will be tested
URI: http://10.1.7.192:80/jspui/handle/123456789/9210
Appears in Collections:Dissertation, CE (INS)

Files in This Item:
File Description SizeFormat 
17MCEI06.pdf17MCEI062.82 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.