Tiny, fast, efficient, feature rich Javascript library to detect links / URLs / Emails in text and convert them to clickable HTML anchor links
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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 🧬
Edge-AI system for real-time detection of malicious domains and URLs at IoT gateways using hybrid Traffic, DNS, and SSL features.
Detect whether a website is legitimate (or) phishing using machine learning techniques
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
This is a machine learning project aimed at detecting malicious URLs
Real-time phishing URL detection app for analyzing and classifying links as safe or malicious using AI and cybersecurity techniques.
CyberSentinel is an AI-powered web security system designed to detect and prevent phishing attacks in real time.
Malicious URL detector built with deep exploration on feature engineering.
🗺️ Compress any content while preserving its structure, allowing AI agents to efficiently navigate large artifacts within a fixed character budget.
AI-powered phishing URL detection system built with Flask and Machine Learning 🛡️
Detecting URL, Number, Hashtags in a string
VS Code extension for detecting URLs in markdown and fetching their titles to create properly formatted markdown links.
Malicious URL Detection using Machine Learning
The security-first Python library that stands guard between your application and the wild west of user-submitted URLs. One import. One call. Sixteen battle-tested checks. Zero excuses for SSRF, XSS, and 16+ Attack Vectors.
Detect and linkify URLs in terminal output. Handles wrapped lines, ANSI escape codes, and edge cases. Python CLI tool.
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.
Multi-module phishing website detection tool
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