Detecting Phishing website through chrome extension

SToolkit.PhishTank is easy usage PhishTank api provider. PhishTank is a free community site where anyone can submit, verify, track and share phishing data.

A repository for filters, regex, logic, etc. for the purposes of detecting all sorts of phishing emails

A list of email addresses and domains used for phishing and/or spam campaigns for blocking/detection purposes.

Analysis of Phishing Detection Project using SHAP.

Get newly registered domains to catch phishing attacks

A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.

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

This script validates if any queried domain/user is contained as a target within the HassanKit Phishing Campaign

Machine Learning for Phishing Website Detection

Classification of phishing URLs using machine learning in Python.

Repository for AntiPhishMe chrome extension

The server side of PB Project.

Tor Browser Extension uses onion.live service to warn against phishing URLs and provide a list of safe .onion mirrors for your favorite deepweb / darknet services.

An Open Source Google Chrome Extension that protects you from phishing attacks by letting you specify what usernames you use to login to services, and whitelisting them for specific domains. If you use the username on a domain that you have not whitelisted 'Don't Phish Me' alerts you.

Precise phishing detection with recurrent convolution neural network

🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL

In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms

IBM-Malicious-URL-v5, Contains ML model training code and data set generate while using Phishing URL application.