#Phishing-detection
Showing 23 of 23 repositories tagged #phishing-detection, ranked by stars
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
Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/
This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.
Chrome/Edge 浏览器扩展，5 规则实时检测银狐木马钓鱼仿冒网站。域名仿冒 · ICP备案核查 · 下载拦截 · 链接分析 · 代码工程化 — 零依赖 Manifest V3。
Open-source phishing detection engine with explainable verdict. Self-hostable alternative to VirusTotal, CheckPhish, URLScan.io
Useful resources about phishing email analysis
NLP model and tech for cyber security tasks
A lite chrome extension for detecting phishing sites using random forest classifier
The DNA test for websites
Newly registered Domain Monitoring to detect phishing and brand impersonation with subdomain enumeration and source code scraping
Chista | Open Threat Intelligence Framework
An offline Phishing Email Analyzer. Enabling non-techies to analyze phishing emails automatically!
Identifying Malicious Phishing URLs through Machine Learning
Machine Learning for Phishing Website Detection
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.
This is an End-to-End Machine Learning Project which focuses on phishing websites to classify phishing and legitimate ones. Particularly, I focused on content-based features like html tag based features. You can find feature extraction, data collection, preparation process here. Also, building ML models, evaluating them are available here.
A project that predicts a phishing URL by extracting 17 features in 3 different categories and then train and test the machine learning models using a dataset from Phishtank.
All-in-one Android security suite — deepfake detection, antivirus, Tor VPN, breach monitoring, phishing scanner, and 50+ security tools. On-device, no API keys, open source.
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.
AI-enabled Phishing Link Detection and Alert System.
Threats analysis tool