研究报告
原创反诈情报研究
独立的数据驱动全球诈骗趋势分析。每份报告基于 ScamLens 90+ 威胁情报源的专有数据,经专家团队同行评审,并公开完整方法论。
2026 Q1 全球诈骗情报报告
全球诈骗态势综合分析：按数量和受害者损失排名的前 10 大诈骗类别、加密货币洗钱模式演变、AI 生成诈骗检测率、国家级威胁对比。基于 5000 万+ 域名记录和社区情报。
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
已发布报告
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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