我们如何检测诈骗,以及为什么结果值得信赖
ScamLens 建立在透明的方法论、可验证的数据源和严格的证据标准之上。每个评估可复现,每个评分可解释,每个 AI 输出按置信度分级标注。
证据级输出
所有 AI 风险评估均标注: [FACT] 来自已验证来源, [INFERENCE] 基于模式分析, [UNVERIFIED] 未确认信号。没有黑箱。
View editorial policyDetection pipeline
Aggregate
90+ threat intelligence feeds queried in real-time (Google Safe Browsing, VirusTotal, PhishTank, GoPlus, Chainalysis sanctions, and 85+ more)
Analyze
Multi-factor scoring: domain age, TLD risk, DNSSEC, security headers, SSL, homograph detection, brand impersonation, redirect chains, community reports
Cross-verify
Contract triple-engine (GoPlus + Honeypot.is + Token Sniffer), OFAC/SDN sanctions screening, 100K+ phishing URL database match
AI summarize
Claude/Gemini/Grok triple-fallback generates risk narrative with [FACT]/[INFERENCE]/[UNVERIFIED] evidence tiers
Community signal
User reports, votes, and corrections feed back into scoring and detection rules
Trust Center
Security, compliance, and vulnerability disclosure
Research
Original scam intelligence reports
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