Description: This Kaggle Dataset focuses on Malicious URL detection, aiming to facilitate research and development in the field of cybersecurity and threat detection.

The dataset includes a diverse set of URLs, both benign and malicious, accompanied by an extensive list of calculated features. These features cover various aspects of URLs, providing a holistic view to aid in the identification of potential threats.

Key feature types:

1. Basic URL Components
2. Domain Information
3. Content Analysis
4. Path and Query Parameters
5. SSL Certificate Details
6. Host Reputation
7. Network Features
8. Machine Learning-Derived Features
9. Behavioural Features

Researchers and data scientists can leverage this dataset to develop and benchmark URL detection models, employing various machine learning and deep learning techniques. The abundance of calculated features offers a rich resource for exploring novel approaches to enhance the accuracy and robustness of URL classification systems. Additionally, the dataset encourages collaboration and the sharing of insights within the cybersecurity community.