Tiny, fast, efficient, feature rich Javascript library to detect links / URLs / Emails in text and convert them to clickable HTML anchor links
-
Updated
May 11, 2024 - TypeScript
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.
Your shield against scam and fraud
Detect whether a website is legitimate (or) phishing using machine learning techniques
🗺️ Compress any content while preserving its structure, allowing AI agents to efficiently navigate large artifacts within a fixed character budget.
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.
An Automated Threat Intelligence Platform for Phishing URL Investigation
Malicious URL detector built with deep exploration on feature engineering.
RakshakAI – AI Powered Cyber Threat Intelligence Platform using Machine Learning, Deep Learning and Flask for detecting phishing emails, malicious URLs, QR scams, fake jobs, social engineering, UPI fraud and deepfake images.
AI-powered Cyber Threat Detection System using Machine Learning, Deep Learning, TensorFlow, and Streamlit.
Detect and linkify URLs in terminal output. Handles wrapped lines, ANSI escape codes, and edge cases. Python CLI tool.
AI-powered malicious URL detector using NLP, Random Forest, and LLM explanation
Malicious URL Detection using Machine Learning
VS Code extension for detecting URLs in markdown and fetching their titles to create properly formatted markdown links.
Detecting URL, Number, Hashtags in a string
Add a description, image, and links to the url-detection topic page so that developers can more easily learn about it.
To associate your repository with the url-detection topic, visit your repo's landing page and select "manage topics."