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URLs Threat Identification Dashboard

S. Yaswanthraj, M. Adhithyan, T. Kowshik, N. Logha Surya, M. Mihaash Dharan

Abstract


The growth in malware-hosting and phishing sites represents a fundamental threat to cybersecurity in all industries. This document introduces an in-time URLs Threat Identification Dashboard that scan s, aggregates, and visualizes malicious URLs based on Abuse.ch (URL Haus) and AbuseIPDB data. The system periodically retrieves and processes threat feeds, stores them in a MariaDB database, and presents them on a Flask-built web interface. Developed with proactive defense in mind, the system updates information in real time, and it's designed for integration with future versions of firewall offerings to enable automatic threat blocking. The dashboard enables actionable insights to threat analysts and enhances visibility into currently active URL-based threats online.


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