The ultimate phi8hi5g tool with 41 websites available!

Machine Learning for Phishing Website Detection

Aim of the project is to reduce phishing victims. 😇 My first-ever full-stack project marked the start of my journey as an aspiring student developer. Driven by a strong desire to make a positive impact on my community, I embarked on a mission to create a project that could genuinely as

Phishing detection regex for Blueteams

👨‍🦰 Large Scale Active Social Engineering Defense (ASED): Multimedia and Social Engineering

A Flask-based web application that simulates phishing email campaigns and tracks user interactions.

The Website of Eye of Horus security for anti phishing technology

The Email Phishing Detection Application is designed to identify and analyze phishing emails using machine learning and various APIs. The application provides a user-friendly interface for fetching emails, analyzing their content, and checking the safety of links and attachments.

Threat Snare is a web-based threat intelligence and URL scanning tool.

Phishing Threat Hunting Programmable Search Engine

Machine Learning and Regex Matching based Phishing Detection System with a phishing attack scenario

The Website of Eye of Horus security for anti phishing technology

Aim of the project is to reduce phishing victims. 😇

Phishing education and awareness project developed during the Code Alpha internship program. Includes a PowerPoint presentation, a phishing attack simulation video, and a Bash-based phishing tool for educational purposes.

Flask-based web app for real-time phishing URL detection using heuristics + machine learning. Features dark-themed UI and database-backed analysis history.

Real-time email phishing detector using ML and URL threat analysis

A browser extension that helps protect against phishing attempts by detecting Cyrillic characters in URLs.

SafeLink Defender is a simple but powerful desktop application designed to help users detect and avoid phishing links. Built with Python, Tkinter, and Machine-Learning, the app uses a trained model to classify whether a given URL is safe or malicious

This master thesis aims to develop an architecture for automated heuristic phishing detection. The outcome of this approach is to evaluate phishing URLs using an automated solution.

SteveD3's personal journal for things that really don't fit on social media.