.NET implementation of the Google Safe Browsing API
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Updated
Dec 8, 2022 - C#
.NET implementation of the Google Safe Browsing API
AI-powered Cyber Asset Management, Vulnerability Assessment & Attack Surface Management Platform.
Phising Detect Python / Random Forest Model / Python
🕵️ Sniff Network — colorful CLI recon & networking toolkit with 20 features: IP lookup, DNS, whois, phishing check, port scanner, SSL checker, and more. No API keys needed.
An AI-powered scam and spam detection system that classifies messages as safe, spam, or scam using machine learning and intelligent pattern analysis. Built on a multi-source dataset, it provides accurate, real-time detection of phishing attempts, fraudulent links, and promotional spam.
EchoGuard utilizes a high-performance Convolutional Neural Network (CNN) mathematically distinguish between authentic human voices and synthetic AI deepfakes.
An automated phishing detector that analyzes your emails and shows whether they are suspicious or safe through a clean, visually appealing dashboard.
This is Phishing Website demo that I have created to tell people how phishing happen without using database
🛡️ Disclaimer: This tool is intended for educational purposes only. Always verify URLs from trusted sources.
A lightweight Rust based backend service to detect phising websites
Phishing detection tool that integrates CertStream and OpenSquat to monitor and detect phishing websites in real-time. The tool features a modern web dashboard with live updates, threat classification, and detailed domain analysis.
Everyone has done this during their university days, and so have we. This is the repository for our SIH and Internal Hackathon Project (2023). There's not much here; the SOURCE CODE, PPT, and ARCHITECTURE are archived and private. Thank you for visiting.
AI-Based Phishing Website Detection and Security Alert System using Java Spring Boot.
An XGBoost-based phishing detection model that identifies malicious URLs with high accuracy using engineered features.
Detect email phising use Navie Bayes, RF, SVM, ANN and Decicion Tree. Dataset use Enron email.
Phishing detection system.
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