🛡️ Implement robust security measures for your applications with EoH-Guard, ensuring safe and reliable performance in critical environments.

🛡️ Train users to identify phishing sites with interactive tests, security tips, and educational resources in Arabic, promoting safer online experiences.

The Website of Eye of Horus security for anti phishing technology

Process orchestration platform for managing multiple CertPatrol instances with a modern web interface.

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

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.

Machine Learning-based Phishing Website Detection System using Random Forest Classifier. Analyzes URL features to detect phishing attacks in real-time with 98%+ accuracy.

The Website of Eye of Horus security for anti phishing technology

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

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

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

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.

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

The ultimate phi8hi5g tool with 41 websites available!

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.

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 Threat Hunting Programmable Search Engine

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.