Eight independent detection layers. A conviction engine that evaluates evidence — not points. Detects phishing, scams, brand impersonation, and social engineering across URLs, emails, messages, and images.
Every 11 seconds, a new phishing site goes live. Every minute, someone's credentials are harvested. Blocklist-based protection always arrives too late — by the time a URL is reported, 100 more victims have clicked.
Traditional scanners add up weak signals until something crosses a threshold. Login form (+12), urgency words (+8), security keywords (+10) — and suddenly your real bank page is flagged. We built something smarter: structural evidence over content noise.
Each layer evaluates the URL from a different angle — threat intel, domain history, content structure, visual identity, community feedback, ML classification, LLM reasoning. Independent signals, combined by a conviction engine that evaluates evidence quality.
A credential form submitting to a different domain. A visual clone on a three-day-old typosquat. A punycode domain impersonating your bank. These are structural facts. No amount of content wording can override them — and no amount of content wording can condemn an established bank's real login page.
Click any URL below to see how our eight layers analyze it — in real-time.
Comprehensive threat coverage across every channel you communicate on.
Fake login pages, credential harvesting forms, typosquat domains. Caught by structural analysis — not just keywords.
Crypto giveaways, CEO/BEC fraud, fake marketplaces, lottery scams, romance scams. Each with a dedicated attack archetype.
66 brands fingerprinted — banks, government, social media, couriers. Favicon hash + color palette + structure match.
Urgency, OTP harvesting, and social engineering patterns in 20+ languages. Built for the real world, not just English.
URL, email, message, image OCR — all through the same 8-layer pipeline. No weak links between channels.
Every verdict comes with the conviction rule that fired, which layers contributed, and specific reasons.
Fast path under 200ms for known threats. Full pipeline with ML and LLM takes 1-3 seconds.
Established domains can't be flagged by content alone. Only structural evidence can override domain trust.
| Provider | Blocklist | ML | Visual match | LLM | Multi-lang | Explain | Price |
|---|---|---|---|---|---|---|---|
| Google Safe Browsing | ✓ | — | — | — | — | — | Free |
| Barracuda Sentinel | ✓ | ✓ | — | — | partial | partial | €24/user/mo |
| Proofpoint Essentials | ✓ | ✓ | — | — | partial | — | €30/user/mo |
| SentriesAI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Free plan + €9/mo |
Based on publicly available vendor information as of Q2 2026.
Three real attacks our engine caught. Which layers fired, and why.
Brand-new domain (3 days old), no email authentication, high-risk .cc TLD, 97% visual match with BRD's real login page. Our visual fingerprint engine caught it before it appeared on any blocklist.
No brand impersonation, no login form — this scam uses wallet-connect flows. Our LLM classified it as a 'crypto giveaway' archetype and the ML model flagged structural indicators (short age, high-entropy domain, urgency keywords).
Lookalike domain (c-e-o-company.com vs ceo-company.com). Email header mismatch. Urgent wire transfer request with unusual beneficiary. Attack archetype: BEC/CEO fraud. The message pipeline caught structural email authentication failures.
Free plan includes 10 URL scans and 3 image scans per day. No credit card needed.