https://github.com/vishal815/malicious-url-detection-system
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.
https://github.com/vishal815/malicious-url-detection-system
cyber-analytics cybersecurity machine-learning malicious-url malicious-url-detection url vishal-lazrus visualization
Last synced: over 1 year ago
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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.
- Host: GitHub
- URL: https://github.com/vishal815/malicious-url-detection-system
- Owner: vishal815
- Created: 2023-08-18T19:01:24.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-20T03:57:24.000Z (about 2 years ago)
- Last Synced: 2025-01-30T20:57:03.493Z (over 1 year ago)
- Topics: cyber-analytics, cybersecurity, machine-learning, malicious-url, malicious-url-detection, url, vishal-lazrus, visualization
- Language: Jupyter Notebook
- Homepage: https://github1s.com/vishal815/Malicious-URL-Detection-System/tree/main
- Size: 2.29 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Malicious-URL-Detection-System

## 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