DESIGN AND IMPLEMENTATION OF WEB SECURITY VULNERABILITY ANALYSIS IN SELECTED NIGERIAN GOVERNMENTAL OFFICES (USING WHITE BOX AND BLACK BOX TESTING)
Cyber security is the action of ensuring data and data systems with suitable procedural and innovative security measures. Cyber security threats are expanding from time to time. Web security Vulnerability is an imperfection or shortcoming in a computer system, its security strategies, internal controls, or plan and execution, which may misuse to abuse the framework security policy. Web security vulnerability can influence a country and can disrupt the social, financial, and political realm of governments. Vulnerability analysis is a series of exercises that attempted to recognize the shortcomings and gaps to exploit security vulnerabilities. The reason for this study is to find vulnerabilities and give suggestions and rules for vulnerable systems found in web applications. We have utilized a subjective approach to evaluate effect and likelihood unequivocally. The result for each appraisal has been relegated to high, medium, or low vulnerability to classify the reason for this ponder is to find vulnerabilities and give recommendations and rules to vulnerable systems found in web applications. We have utilized a subjective approach to survey effect and probability unequivocally. The result for each appraisal has been assigning high, medium, or low vulnerability to classify them effortlessly. Test arrangement, data gathering, vulnerability analysis, and vulnerability report phases are too included. The finding of this work shows that all the possible number of vulnerabilities rate and system shortcomings or point of view attacks of governmental office’s web vulnerability analysis finding result by utilizing white box and black box testing. Finally, conclusions and recommendations are made based on the discoveries and analysis. The result of the research appears all the possible number of Vulnerabilities rates of governmental office web and network resource vulnerability analysis finding results of both approaches based on vulnerability impact rate or risk level by utilizing black box and white box testing.
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