Synthetic KYC / AML re-verification credential phishing — impersonates a fintech or crypto platform with a post-incident KYC/AML re-verification narrative harvesting government ID scans + selfies + financial credentials. FinCEN/CFPB 2025; Abnormal Security Mar 2026; Cofense Feb 2026.
synthetic-kyc-reverification-credential-phish
What this tier means
High-confidence threat indicator — phishing, impersonation, BEC, or scam pattern. Strong contributor to the trash decision.
How Gorganizer detects this
Fraudulent KYC (Know Your Customer) / AML (Anti-Money Laundering) re-verification emails claiming a security incident or regulatory update requires the recipient to re-upload government-issued ID, selfies, and financial credentials to a fake compliance portal. Three-part detection: (1) KYC/AML re-verification brand language, (2) post-incident / regulatory-update justification, (3) document-upload / selfie-with-ID CTA with off-domain link. FinCEN and CFPB 2025 advisories documented a wave of synthetic-identity-recovery attacks targeting fintech / crypto / bank users; Abnormal Security March 2026 confirmed active campaigns. Harvests not just credentials but the raw materials for synthetic identity fraud.
False-positive guard
Every signal in Gorganizer feeds a multi-module score — never a sole verdict. This is a threat-tier signal — it adds a strong contribution to the trash score. The full pipeline still requires convergence across multiple modules + a margin over the safety floor before deletion happens, and Gmail's trash (30-day recovery) is always used — never permanent delete.
About the scoring engine
Gorganizer's scoring engine emits over 1,800 signals across six modules — headers, sender, subject, body, attachments, and structural metadata. Every email is scored by every module independently; the final verdict requires multiple modules to agree and the trash score to beat the safety floor by a margin.
Sacred safety guards — never delete starred emails, replies, calendar invites, receipts/invoices, or attachments — apply unconditionally regardless of any signal.
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