.NET implementation of the Google Safe Browsing API
-
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.
EchoGuard utilizes a high-performance Convolutional Neural Network (CNN) mathematically distinguish between authentic human voices and synthetic AI deepfakes.
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.
This is Phishing Website demo that I have created to tell people how phishing happen without using database
A lightweight Rust based backend service to detect phising websites
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.
🛡️ Disclaimer: This tool is intended for educational purposes only. Always verify URLs from trusted sources.
An XGBoost-based phishing detection model that identifies malicious URLs with high accuracy using engineered features.
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.
AI-Based Phishing Website Detection and Security Alert System using Java Spring Boot.
Advanced command-line threat intelligence tool for phishing detection, domain typosquatting analysis, and URL heuristic inspection with VirusTotal integration.
Detect email phising use Navie Bayes, RF, SVM, ANN and Decicion Tree. Dataset use Enron email.
Phishing detection system.
To associate your repository with the phisingdetect topic, visit your repo's landing page and select "manage topics."