Our Technology
URLert isn't just a static database lookup. It's a multi-stage forensic engine designed to analyze threats like a human security researcher would.
Zero-Trust Architecture
We assume every link is malicious until proven otherwise. We don't whitelist "known good" domains blindly.
Real-Time Analysis
No stale data. We scan the live URL at the moment of request to catch zero-day attacks instantly.
Forensic Depth
From DNS records to pixel-level visual analysis, we gather evidence across the entire stack.
Inside the Engine
URLert is an orchestrated system of specialized AI agents.
Domain Intelligence
Before scanning content, we analyze the domain. We check for Typosquatting (e.g., `paypa1.com`), domain age, and high-risk TLDs to catch attacks before they even load.
The Orchestrator
Our "Fail-Fast" engine. If the domain is obviously malicious, we stop there. If it's suspicious, we trigger deeper scans. It intelligently routes the URL to optimize speed and cost.
Static & Cloaking Analysis
We simulate multiple visitors (Mobile Device, Desktop, GoogleBot) simultaneously. This forces "Cloaking" attacks to reveal their true payloads targeting mobile victims.
Visual & Behavioral
For high-stakes URLs, we launch a headless browser. We use Computer Vision to "see" the page like a human, detecting fake login forms and drive-by downloads that code analysis misses.
The AI SOC Analyst
Finally, our LLM Synthesizer reviews all findings. It acts as a Senior Security Analyst, ignoring noise and writing a human-readable explanation of why the site is dangerous.
Ready to see it in action?
Experience the power of our multi-agent engine for yourself. Scan any suspicious link for free.