Phishing Detection: A Multilayer Approach to Scale Down Phishing

Detection of phishing scams is a process to detect phishing attempts before they happen, inform administrators and users about them, and most importantly reduce the risk. Phishing is a form of cybercrime in which hackers attempt to trick victims into revealing confidential information, e.g. passwords or financial details, by pretending that they're an efficient source for the attack via email and most commonly text messaging. Since phishing is mostly a semantics-based attack that targets human vulnerabilities, identifying these phishing websites can be difficult. The authors suggested this project as a solution to this problem. By identifying and quickly warning users of potential phishing and malware threats, our project aims to improve online security. This all-inclusive method includes Greek alphabet analysis, port forwarding detection, database comparison, grammar analysis utilizing NLP libraries, and many more. A modified version of phishing detection technique has been suggested which integrates Greek alphabet analysis , port forwarding detection and homograph attack detection.