About ScamChecker
We built ScamChecker because everyone deserves to feel safe online
Scammers are sophisticated. Modern fraud is engineered to look legitimate — from perfect bank impersonations to AI-generated voice calls. People aren't falling for scams because they're careless. They're falling for scams because the scams are that good.
Our mission
ScamChecker exists to give everyone a trusted second opinion — instantly. You paste in a suspicious message, link, screenshot, or QR code, and within seconds you get a clear verdict: LOW, MEDIUM, or HIGH risk, plus plain-English reasoning and step-by-step actions.
We built this for the moment of doubt. That split second when something feels off but you're not sure. A text from your bank. A package delivery link. An invoice from a vendor you sort of recognise. That's when ScamChecker helps most.
We're not building a cybersecurity dashboard for IT teams. We're building a calm, clear, consumer-first tool — one that works for everyone from a teenager to a grandparent.
ScamChecker at a glance
- What you can check
- Messages, links, screenshots and QR codes
- What you get back
- A risk verdict, the red flags behind it, and what to do next
- What we keep
- Nothing you submit — it is discarded once the check is done
- What it costs
- 5 checks a month free, no card needed
What we stand for
The principles behind how we build ScamChecker.
Radical transparency
We tell you exactly what we found and why we reached a verdict — no black-box scores, no vague warnings.
Privacy by default
Your submitted content is analyzed in memory and immediately discarded. We never store, log, or train on what you share with us.
Fast and actionable
You get a verdict in seconds, plus plain-English steps tailored to your exact situation. No jargon, no guessing.
How it works under the hood
When you submit content, it passes through a layered analysis pipeline. Fast checks gather the evidence; the AI weighs it and decides.
All analysis happens in memory. Once your request completes, the content is gone. We never store, log, search, or train on what you check.
Links are the one exception worth knowing about — see how we handle links.
Step 1
Rule checks
A fast rule engine checks for known scam patterns, suspicious URLs, and urgency signals.
Step 2
Link checks
Links are compared against malware and phishing blocklists we hold ourselves, and may be looked up with outside security services to see how old a domain is or whether it has already been flagged.
Step 3
AI review
Claude, an AI model made by Anthropic, weighs that evidence and performs a deep contextual analysis, identifying subtle red flags that rules alone would miss. It makes the final call.
Step 4
Your answer
Structured, validated output — not a probability score. A verdict, a plain-English explanation of the specific red flags found, and prioritised action steps.
Ready to start checking?
Free to start. No credit card required.