ScamLens
ScamLens Team

How we detect scams — and why you can trust the results

ScamLens is built on transparent methodology, verifiable data sources, and rigorous evidence standards. Every assessment is reproducible, every score is explainable, and every AI output is labeled by confidence tier.

90+
Threat intel sources
18
Blockchains analyzed
100K+
Phishing URLs tracked
200+
Scam types documented
12
Languages supported
13
Laundering patterns detected

Published methodology

Our trust score algorithm, scoring weights, and detection logic are fully documented. Anyone can review how a score was calculated and challenge the result.

View methodology

Verifiable data sources

Every data point traces back to a named, auditable source. We aggregate from 90+ threat intelligence providers and clearly separate verified facts from AI-assisted inferences.

View all sources

Evidence-grade output

All AI-generated risk assessments are labeled: [FACT] for data from verified sources, [INFERENCE] for pattern-based analysis, [UNVERIFIED] for unconfirmed signals. No black boxes.

View editorial policy

Detection pipeline

01

Aggregate

90+ threat intelligence feeds queried in real-time (Google Safe Browsing, VirusTotal, PhishTank, GoPlus, Chainalysis sanctions, and 85+ more)

02

Analyze

Multi-factor scoring: domain age, TLD risk, DNSSEC, security headers, SSL, homograph detection, brand impersonation, redirect chains, community reports

03

Cross-verify

Contract triple-engine (GoPlus + Honeypot.is + Token Sniffer), OFAC/SDN sanctions screening, 100K+ phishing URL database match

04

AI summarize

Claude/Gemini/Grok triple-fallback generates risk narrative with [FACT]/[INFERENCE]/[UNVERIFIED] evidence tiers

05

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

Work with us

Security researchers, law enforcement agencies, and financial institutions are welcome to collaborate on threat intelligence sharing, data partnerships, or integration projects.

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