MUD - Chrome Extension
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MUD - Chrome Extension

Real-time malicious URL detection with 24-factor ML analysis
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MUD (Malicious URL Detector) is a Chrome extension designed to help you spot dangerous websites before they can do harm. Many online threats start with a simple click—phishing pages that imitate trusted services, scam sites that try to steal credentials, or URLs crafted to deliver malicious content. MUD addresses this risk by analyzing the URL of the page you are visiting in real time and alerting you when something looks suspicious.

When you browse, MUD evaluates each visited URL using a set of 24 risk factors and machine learning techniques. Instead of relying on a single signal, it combines multiple characteristics that are commonly associated with malicious or deceptive links. The result is a clearer indication of whether a page may be unsafe, helping you make a quick decision to continue, leave, or double-check the site before entering sensitive information.

MUD is built for everyday browsing: it works automatically in the background and provides warnings when the evaluated risk suggests a potential threat. This is especially useful when opening links from emails, messages, social media, ads, or shortened URLs—sources frequently used in phishing campaigns. By highlighting suspicious destinations early, MUD can reduce the chance of handing over passwords, personal data, or payment information to fraudulent sites.

Whether you are a casual user who wants extra safety online or someone who regularly visits unfamiliar websites, MUD offers an additional layer of protection by turning URL analysis into an immediate, practical security signal—right at the moment you need it.

MUD, acronym for Malicious URL Detector, arises from the need to analyze in real time if a site we visit is a possible malicious url. MUD warns us of the possible danger in order to avoid phishing attempts, etc ... MUD uses 24 factors and Machine Learning algorithms to analyze and accurately evaluate the degree of danger.

Review Summary

Features

  • Real-time URL analysis while browsing
  • Detection based on 24 risk factors
  • Machine-learning driven risk evaluation
  • Warning alerts for potentially malicious or phishing URLs
  • Helps evaluate unfamiliar, shortened, or suspicious-looking links

How It’s Used

  • Preventing phishing by warning before users enter credentials
  • Safer browsing when opening links from email, chat, or social media
  • Quick screening of unknown websites for scams or spoofed domains
  • Reducing exposure to malicious pages by flagging risky URLs early

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