FQDN Model

A Machine Learning classifier for predicting whether an FQDN is benign or malicious.

Overview

The project trains a classifier on features extracted from domain analysis, including DNS lookups, SSL checks, HTTP behavior, and WHOIS data. It supports Gaussian Naive Bayes, Logistic Regression, and Random Forest (default) models.

Getting Started

Check out the Installation guide to get started.

Credits

Data source: fabriziosalmi/blacklist.