Jordanian IT Student Builds AI Tool to Detect Phishing and Social Engineering

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Zain Nofan Abuzaid, an Information Technology student and software developer from Jordan, has developed ScamLens AI, a cybersecurity project designed to detect phishing and social engineering threats in digital content. The tool analyzes messages, emails, URLs, and screenshots to identify suspicious patterns linked to manipulation tactics such as urgency, impersonation, and fear. Unlike conventional risk-scoring systems, ScamLens AI is designed to explain why content is flagged as suspicious, offering users actionable context rather than just a percentage score. The project draws on Abuzaid's academic research into how artificial intelligence can recognize harmful communication patterns and support users facing potentially deceptive content. He describes ScamLens AI as a practical bridge between his research interests and real-world software development in the cybersecurity space.

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