MURL: A Large-Scale Multi-Class Dataset for Malicious URL Detection and Cyber Threat Classification

Description

This dataset contains 783,705 URLs categorized into eight classes: Benign, Phishing, Defacement, Malware, Legitimate, Spam, and Exploit. The dataset is designed to support research in malicious URL detection, cybersecurity, cyber threat classification, machine learning, and deep learning. Its diverse class distribution also makes it useful for studying multi-class classification and class imbalance in cybersecurity applications.

Institutions

• Ahsanullah University of Science and Technology

  Dhaka Division, Dhaka

Categories

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