研究
オリジナル詐欺インテリジェンスレポート
90+のソースに基づく独立したデータ駆動型グローバル詐欺トレンド分析。
Q1 2026 グローバル詐欺レポート
グローバル詐欺状況の包括的分析。
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
公開済みレポート
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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