Get newly registered domains to catch phishing attacks

A Flask Based Web Application which is used to detect the phishing URL's.

Classification of phishing URLs using machine learning in Python.

The server side of PB Project.

Chrome extension for detecting phishing web sites

Using Machine Learning Algorithm and Beautiful Soup, classifying a website as phishing or not in a form of a web app. Dockerfile has also been provided.

Given a TLD zone file, PhishCanary extracts International Domain Names (IDNs) that are homoglyphs of specified target domain names.

suspicious site detection using machine learning algorithms

Phish Rod is a web application that leverages machine learning to detect phishing websites.

Türkiye'ye Yönelik Zararlı Bağlantı Erişim Engelleme Listesi

Detecting phishing attacks using a combined model of LSTM and CNN

Combining Long-term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites using URL and HTML

A SOC Analyst's tool to automate the investigation & validation of possible Indicators of Compromise (IOCs) and perform various tasks including Phishing Email Analysis & Brand Monitoring to fasten the incident response.

Named Entity Recognition and Its Application to Phishing Detection

Phishing website detection using URL features, blacklist and machine learning approach. Utilizes Flask, MongoDB and Random Forest classifier.

This simple repository fetches all the URL's in a long text file

URL phishing detection using Generative Adversarial Network (GAN)