Clearer Scam Checks. Practical Next Steps.
ScamLens helps people and teams check suspicious websites, messages, payments, and scam stories before more damage happens.
Our Story
ScamLens was born from a simple belief: everyone deserves a free, easy way to check if a website is safe before clicking.
The Problem
Online scams cause major losses, yet many people still do not have a simple way to check a suspicious link or story before acting.
ScamLens Goes Live
ScamLens launched as a free way for anyone to check suspicious websites before clicking, paying, or signing in too soon.
Growing Every Day
Today ScamLens helps people in 12 languages check websites, crypto addresses, scam messages, and the right next steps after exposure.
How It Works
ScamLens gathers warning signals from trusted sources, then turns them into a clearer judgment and practical next steps.
Trusted Warning Signals
We collect risk signals from public safety, abuse, and scam-reporting sources to see whether a site or story has already raised concern.
Clearer Judgment
We combine those signals into a simpler explanation so you can decide whether to stop, verify more, or move into recovery and reporting.
Community Reports
Users can report suspicious websites, vote on domain safety, and share their experiences — adding a human signal that no automated system can replicate.
Intelligence Capabilities
ScamLens aggregates multi-dimensional intelligence to deliver comprehensive anti-fraud analysis.
Web Threat Intelligence
90+ global threat intel feeds covering phishing, malware, and scam domains
Blockchain Intelligence
Crypto risk detection and fund tracing across 18 blockchain networks
Domain & Infrastructure
Multi-dimensional analysis of domain registration, SSL, DNS, and IP geolocation
Sanctions & Compliance
Real-time OFAC SDN and international sanctions screening for high-risk entities
AI Risk Analysis Engine
Multi-model AI analysis (Claude + Gemini + Grok) with 13 money laundering pattern detectors
Community Intelligence
Decentralized reputation system built from user reports, votes, and reviews
Transparency
We believe in being upfront about what ScamLens is — and what it isn't:
- Important claims should be grounded in inspectable evidence such as page captures, public records, technical indicators, transaction details, or user-submitted artifacts.
- Pages should separate confirmed facts, strong warning signs, and unresolved questions.
- We correct material factual errors, outdated reporting instructions, broken official links, and misleading descriptions that could affect user decisions.
- Guidance should prioritize actions that reduce immediate harm first, such as freezing payment paths, preserving evidence, or contacting official channels.
- ScamLens does not accept paid placement in risk verdicts, reporting flows, or safety recommendations.
Join the Community
ScamLens gets better with every person who contributes. Report a suspicious website, vote on a domain's safety, or share your experience — every action helps protect someone else.
- Report suspicious websites
- Vote on domain safety
- Share your experience to warn others
Cite ScamLens
If you use ScamLens data or analysis results in your research, blog posts, or news articles, please use the following citation format:
ScamLens. (2025). AI-Powered Online Fraud Detection Platform.
Retrieved from https://scamlens.org
BibTeX: @misc{scamlens2025, title={ScamLens: AI-Powered Online Fraud Detection Platform}, url={https://scamlens.org}, year={2025}}
For API data citations, please link to our developer documentation: Developer Docs
Privacy Commitment
Your privacy matters. ScamLens does not store personal information or track user behavior. IP addresses are cryptographically hashed for anti-spam purposes and cannot be traced back to individuals.
Read our full Privacy PolicyChrome Companion for Safer Browsing
Save useful links, spot risky sites before you open them, and keep important research easy to find across devices.
Available on Chrome Web Store. Works on all Chromium browsers.