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Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, providing an essential prediction for cybersecurity.

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vishal815/Malicious-URL-Detection-System

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Malicious-URL-Detection-System

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Project Description

Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, providing an essential prediction for cybersecurity.

Features

  • URL Feature Extraction
  • Machine Learning Model Training
  • URL Detection
  • Evaluation Metrics

Code:-

https://github1s.com/vishal815/Malicious-URL-Detection-System/tree/main

Dataset (45.66 MB)Recommended:-

https://www.kaggle.com/datasets/sid321axn/malicious-urls-dataset

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Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, providing an essential prediction for cybersecurity.

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