About This Architecture

ZeroThreat Mobile Security Architecture implements a four-layer defense pipeline that intercepts URLs from notifications, browser intents, and manual scans before they reach users. Input surfaces feed into URL extraction and normalization, followed by redirect resolution and pre-checks that route analysis through DNS verification, blacklist matching, whitelist checking, typosquatting detection using Levenshtein and Jaro-Winkler algorithms, and keyword heuristics. The detection engine aggregates signals into a 0-100 threat score, classifies URLs as Safe, Suspicious, or Phishing, and triggers real-time alerts that continue, block, or allow access while logging decisions to a local database. This architecture demonstrates defense-in-depth for mobile threat prevention, combining signature-based detection with behavioral analysis and user-controlled allowlists. Fork this diagram on Diagrams.so to customize detection rules, add machine learning classifiers, or integrate with external threat intelligence feeds.

People also ask

How does a mobile security app detect phishing URLs and malicious links in real-time?

ZeroThreat's architecture intercepts URLs from notifications and browser intents, normalizes them, extracts redirects, then routes through parallel detection engines: DNS verification, exact blacklist matching, whitelist checking, typosquatting similarity (Levenshtein/Jaro-Winkler), and keyword heuristics. These signals aggregate into a 0-100 threat score, classify the URL as Safe/Suspicious/Phish