ScamLens
Recherche

Rapports originaux de renseignement anti-arnaque

Analyse indépendante des tendances mondiales de fraude basée sur 90+ sources.

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Rapport Mondial Q1 2026

Analyse complète du paysage mondial des arnaques.

50M+
Domain records
90+
Intel sources
18
Blockchains
12
Languages
01

Executive Summary

5 key findings that define the current global scam landscape

02

Global Threat Landscape

Regional breakdown: scam volume, victim demographics, loss distribution

03

Top 10 Scam Categories

Ranked by volume and financial impact, with trend comparison

04

Cryptocurrency Laundering Patterns

On-chain analysis of mixer evolution, peel chain tactics, cross-chain bridges

05

AI-Generated Scam Detection

How deepfakes, voice clones, and AI-written phishing are changing the threat model

06

Methodology & Data Sources

Full disclosure of data collection, scoring, and analytical methods

Rapports publiés

April 2026

Q1 2026 Global Scam Intelligence Report

3.1M+ threat records, TLD abuse analysis, crypto fraud patterns, AI-generated scam trends. Based on 90+ sources.

Research integrity

  • Every report published with full methodology and data source disclosure
  • Expert-reviewed by named security researchers with verifiable credentials
  • Raw datasets available for academic and research use (upon request)
  • Corrections published within 48 hours of verified error reports

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