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Every scan runs through our multi-layered detection engine, combining threat intelligence APIs, domain analysis, email authentication, and AI-powered semantic analysis.
Cross-references URLs against Google Web Risk, VirusTotal, PhishTank, and URLhaus databases.
Analyzes domain age, WHOIS data, SSL certificates, and DNS records for suspicious patterns.
Verifies SPF, DKIM, and DMARC records to detect spoofed or forged email headers.
Advanced AI analyzes content across 12 dimensions including urgency, manipulation, and brand impersonation.
OCR extracts text from screenshots to detect fake login pages and brand impersonation.
Matches against our growing database of community-reported scams and phishing attempts.
Read the brief on any pattern. Each entry covers the tactics, the targets, and what to do.
Fake emails or websites designed to steal your login credentials and personal information.
Fraudsters build fake romantic relationships to manipulate victims into sending money.
Fake tech support calls or pop-ups claiming your device is infected.
Fraudulent investment opportunities promising unrealistic returns.
Cryptocurrency scams including fake exchanges, rug pulls, and pump-and-dump schemes.
Scammers promise large returns but ask you to pay upfront fees first.
Fake job listings designed to steal personal information or upfront payments.
Fake delivery notifications asking for payment or personal information.
Scammers pretending to be someone you know or a trusted organization.