Content analysis
Look at the language and the intent behind the request.
INSPECT THE REQUEST. UNDERSTAND THE RISK.
Look beyond the message. Trace the pressure tactics, suspicious details, and familiar patterns behind a request.
Pattern Match
Recommended Action
DETECTION ARCHITECTURE
Look at the language and the intent behind the request.
Inspect the destination and domain context.
Review the contact details supplied with the message.
Connect relevant details to reported scam patterns.
Identify familiar tactics across different scam categories.
Turn the signals into an understandable assessment.
WORKS ACROSS YOUR DAY
THE SCAM EPIDEMIC
Every one of these scams followed patterns our engine catches. The checker above is free — use it now, before it costs you.
WHY US
| Feature | ScamAdviser | Antigrift | Aura | Us |
|---|---|---|---|---|
| Message & email scanning | × | ✓ | × | ✓ |
| Website trust checks | ✓ | × | ✓ | ✓ |
| Browser extension | ✓ | × | ✓ | ✓ |
| Community scam reports | ✓ | × | × | ✓ |
| Active email scanning | × | ✓ | × | Coming soon |
| Detailed scam breakdown | × | × | × | ✓ |
| Free tier available | ✓ | × | × | ✓ |
| Price | Free | $19/mo | $12/mo | $6.95/mo |
MONTHLY ACCESS
A daily workspace for checking suspicious input.
Go deeper into the signals and patterns.
BEFORE YOU CHECK
A suspicious message, email, URL, or phone number. For a call, paste a transcript or number. For a QR code, paste the destination link.
Pause before sending money or sharing information. Contact the person or organization through a website or number you find independently.
Americans lost $15.9 billion to scams in 2025 — a record. Losses have quintupled since 2020. Only 2-6% of victims report it, meaning real losses may exceed $196 billion per year. Adults over 60 lost $3 billion, with six-figure losses growing nearly sevenfold in five years.
Our engine detects 12 scam categories: urgency tactics, authority impersonation, financial demands (gift cards, crypto, wire transfers), credential theft, too-good-to-be-true offers, emotional manipulation, tech support scams, job scams, romance scams, suspicious links, advance fee fraud, and formatting red flags. Each check scores across all categories simultaneously.