RUHIU SAMUEL N, PhD
Lecturer: School of Computing and Informatics University of Nairobi
Room 103, SCI/ICT Building
254-20-4447870, 4444919, : samruhiu@uonbi.ac.ke
Room 103, SCI/ICT Building
254-20-4447870, 4444919, : samruhiu@uonbi.ac.ke
Web vulnerability scanners (WVS) are tools for discovering vulnerabilities in a web application. However, they are not 100% accurate. In this paper we develop a hybrid algorithm for detecting web based applications vulnerabilities and compare its performance with other open source WVS. The comparison is based on three metrics namely time taken to scan, detection accuracy and consistency.