All Projects → rlilojr → Detecting-Malicious-URL-Machine-Learning

rlilojr / Detecting-Malicious-URL-Machine-Learning

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Detecting-Malicious-URL-Using-Pyspark

Development Enviroment

  1. Apache Spark 2.3.0
  2. Jupyter Notebook

Datasets

Datasets used in this project is manually obtained from the following sources:

Phising URLS
  1. Phishtank - https://www.phishtank.com/developer_info.php
  2. Open Phis - https://openphish.com/
SPAM URLS
  1. JWSPAMSPY - http://www.joewein.de/sw/blacklist.htm
Malware URLS
  1. DNS-BH - http://www.malwaredomains.com/wordpress/?page_id=66
  2. https://www.malwarepatrol.net/my-account/
  3. http://www.malwaredomainlist.com/
Benign URLS
  1. Majestic - https://majestic.com/reports/majestic-million
Another Usefull Source to collect Malicious URLs
  1. https://zeltser.com/malicious-ip-blocklists/

The Dataset.csv used in this project is the combination of the above sources. A data pre-processing program is used to clean and filter the data. Thus, the dataset is already being labelled and ready to be used in the project.

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