ThePhish: an automated phishing email analysis tool

The openSquat is an open-source tool for detecting domain look-alikes by searching for newly registered domains that might be impersonating legit domains and brands.

Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21

PhishIntention: Phishing detection through webpage intention

Chrome extension for detecting phishing web sites

This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.

A basic phishing kit scanner for dedicated and semi-dedicated hosting

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

Türkiye'ye Yönelik Zararlı Bağlantı Erişim Engelleme Listesi

An offline Phishing Email Analyzer. Enabling non-techies to analyze phishing emails automatically!

A phishing domain detection tool that also allows you to safely view the website without actually visiting it.

Yara scan Phishing Kit's Zip archive(s)

Newly registered Domain Monitoring to detect phishing and brand impersonation with subdomain enumeration and source code scraping

A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, equipped with a web-browser extension that uses a REST API call.

Distributed phishing framework designed to streamline offensive security phishing

StalkPhish-OSS - The Phishing kits stalker, harvesting phishing kits for investigations.

HookPhish is a Python script designed to aid in the detection of phishing websites

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.

🎁 Blocks browser-based crypto mining, cryptojacking, banking and crypto malware, infostealers, phishing websites, malicious apps and hackers command-and-control (C2) servers.

URL phishing detection using Generative Adversarial Network (GAN)