Automating Penetration Testing Within Ambiguous Testing Environment

Abstract

Automated web application penetration testing has emerged as a trend. The computer was assigned the task of penetrating web application security with penetration testing technique. Relevant computer program reduces time, cost, and resources required for assessing a web application security. At the same time, scaling down tester reliance on human knowledge. Web application security scanner is such kind of program that is designed to assess web application security automatically with penetration testing technique. The downside is that computer is not well-formed as human. Consequently, web application security scanner often found generating the false alarms, especially in a testing environment, which web application source codes are unreachable. Thus, in this paper, the state-of-the-art of black box web application security scanner is systematically reviewed, to investigate the approaches for detecting web application vulnerability in an ambiguous testing environment.  This survey is critical in providing insights on how to design efficient algorithms for assessing web application security with penetration testing technique in the ambiguous environment.