Vulnerabilities Detection by Matching with known Vulnerabilities
Precious Jeo John, Sumit Surendran
Preciousjeojohn@gmail.com| sumitsurendran1797@gmail.com
Keraleeya Samajam’s Model College,
Khambalpada Road, Thakurli, Dombivli (East), Kanchangaon, Maharashtra
Abstract
Vulnerability Matcher is a tool designed to identify and prioritize security vulnerabilities in software systems. This intelligent system leverages advanced machine learning algorithms to analyze and match identified vulnerabilities with known security threats and exploits.
The primary function of Vulnerability Matcher is to provide developers and security professionals with a comprehensive understanding of the security risks associated with their software. It does this by scanning the codebase and identifying potential security vulnerabilities that could be exploited by malicious actors.
Vulnerability Matcher's speciality is its ability to prioritize identified vulnerabilities. By using machine learning techniques, it can determine which vulnerabilities pose the greatest risk and should be addressed first. This prioritization is based on factors such as the severity of the vulnerability, the likelihood of exploitation, and the potential impact on the system.
In addition to identifying and prioritizing vulnerabilities, Vulnerability Matcher also provides actionable recommendations on how to remediate each vulnerability. These recommendations are tailored to the specific vulnerability and can range from simple code changes to more complex system modifications.
Moreover, Vulnerability Matcher is continuously learning and improving. It uses feedback from its users to refine its algorithms and improve its accuracy. This continuous learning process ensures that Vulnerability Matcher remains up-to-date with the latest security threats and can provide the most accurate and effective vulnerability matching and prioritization.
Vulnerability Matcher is a highly effective tool for managing security vulnerabilities in software systems. It uses advanced AI and machine learning techniques to identify, prioritize, and provide actionable recommendations for remediation of vulnerabilities. This tool is invaluable for developers and security professionals who want to ensure the security of their software systems.