IP Fraud Score
IP Fraud Score
Turn the signals behind an IP into a single fraud risk score from 0 to 100, so your rules can act on one number.
What is an IP fraud score?
An IP fraud score condenses everything risky about an IP address — VPN, proxy and Tor usage, datacenter hosting, and any history of abuse — into a single number from 0 to 100. A low score suggests an ordinary residential visitor; a high score suggests anonymised or abusive infrastructure. It lets you write simple rules (“review orders above 75”) instead of juggling many separate flags.
How the fraud score is built
Each signal contributes weight to the final 0–100 value.
Anonymiser usage
VPN, proxy and Tor each add risk.
Hosting origin
Datacenter and cloud IPs score higher than residential ones.
Abuse history
Known bad behaviour from the range increases the score.
Geo consistency
Mismatched location signals raise suspicion.
Velocity
Unusual request patterns from the IP add weight.
Single 0–100 score
All signals roll up into one tunable number.
Where teams use it
Checkout risk
Hold or review high-score transactions.
Signup gating
Add verification above a score threshold.
Login defense
Step up authentication for risky IPs.
Manual review queues
Prioritise the riskiest traffic for analysts.
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Frequently asked questions
Why Choose IPScanner
Trusted by thousands of businesses worldwide to provide reliable IP intelligence
Industry-Leading Accuracy
Our AI-powered detection achieves 99.8% accuracy, significantly outperforming traditional methods.
Enterprise-Grade Performance
Built for scale with high reliability and 99.99% uptime SLA for business-critical applications.
Comprehensive Coverage
We maintain the largest database of VPN services, proxies, and anonymizers with daily updates.
Simple Integration
Easy-to-use REST API for all major programming languages and frameworks.
Transparent Communication
Clear documentation and regular updates on our detection capabilities and improvements.
Expert Support
Dedicated technical support team with deep expertise in IP intelligence and cybersecurity.