The ultimate phishing 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
👨🦰 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.
Phishing Threat Hunting Programmable Search Engine
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.
Machine Learning and Regex Matching based Phishing Detection System with a phishing attack scenario
Aim of the project is to reduce phishing victims. 😇
Real-time email phishing detector using ML and URL threat analysis
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.
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
SteveD3's personal journal for things that really don't fit on social media.
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.
A browser extension that helps protect against phishing attempts by detecting Cyrillic characters in URLs.
SSP uses Censys API to scan the internet (IPv4 and IPv6) to generate a list of malicious sites that host phishing pages, malware executables, and potentially identify C2 servers. SSP may be modified at any time to detect corporate attack across the internet.
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