Tiny, fast, efficient, feature rich Javascript library to detect links / URLs / Emails in text and convert them to clickable HTML anchor links

AutoLinkTextView is a TextView that supports automatic detection of Hashtags (#), Mentions (@) , URLs (http://), Phone Nubers and emails

Malicious URL Detection Model NN optimized by Genetic Algorithms 🧬

Real-time phishing URL detection app for analyzing and classifying links as safe or malicious using AI and cybersecurity techniques.

Edge-AI system for real-time detection of malicious domains and URLs at IoT gateways using hybrid Traffic, DNS, and SSL features.

Protego browser extension captures URL and analyze it using machine learning model trained with Random Forest and Support Vector Machine.

Detect whether a website is legitimate (or) phishing using machine learning techniques

Your shield against scam and fraud

Malicious URL detector built with deep exploration on feature engineering.

CyberSentinel is an AI-powered web security system designed to detect and prevent phishing attacks in real time.

Interactive SwiftUI text component with support for mentions, hashtags, URLs, custom regex detection, tap actions, long-press menus, and fully customizable styling.

🗺️ Compress any content while preserving its structure, allowing AI agents to efficiently navigate large artifacts within a fixed character budget.

PhishSentinel is a cybersecurity platform that helps users identify and understand phishing threats. It provides tools and information to improve awareness of malicious websites and online safety practices.

VS Code extension for detecting URLs in markdown and fetching their titles to create properly formatted markdown links.

AI-powered phishing URL detection system built with Flask and Machine Learning 🛡️

Detecting URL, Number, Hashtags in a string

Malicious URL detection using Voting and Stacking ensemble classifiers (RF, ET, XGBoost, LightGBM) — 2026

Detect and linkify URLs in terminal output. Handles wrapped lines, ANSI escape codes, and edge cases. Python CLI tool.

Malicious URL Detection using Machine Learning

A complete full‑stack phishing URL detection app with machine learning backend and a user-friendly web GUI built using Flask, HTML, CSS, and JavaScript.