What Is an IP Fraud Score and How Do You Use It?
An IP fraud score condenses VPN, proxy, Tor, hosting and abuse signals into one 0–100 number. Learn how it's built, what thresholds to use, and how to act on it.
If you have ever stared at a pile of separate IP flags — VPN, proxy, Tor, hosting, abuse history — and wondered how to turn them into one decision, the answer is a fraud score. It collapses all of those signals into a single number so your rules can act on it directly.
Definition
An IP fraud score is a single value, usually 0–100, that expresses how risky an IP address is. A low score points to an ordinary residential visitor; a high score points to anonymised or abusive infrastructure. The score exists so you can write one rule ("review above 75") instead of juggling many separate flags.
Get the risk signals behind an IP
What goes into the score
Each contributing signal adds weight:
- Anonymiser usage — VPN, proxy and Tor all raise risk.
- Hosting origin — datacenter and cloud IPs score higher than residential ones for end-user traffic.
- Abuse history — known bad behaviour from the IP or its range.
- Geolocation consistency — mismatched location signals add suspicion.
- Velocity — unusual request patterns from the address.
The result rolls up into one tunable number. If you prefer to weight signals yourself, the underlying factors are available individually — the score is a convenience, not a black box. For the broader concept, see what is IP reputation.
Choosing thresholds
A practical starting policy:
| Score | Interpretation | Suggested action |
|---|---|---|
| 0–29 | Low risk | Allow |
| 30–69 | Elevated | Challenge (CAPTCHA, email/phone verify) |
| 70–100 | High risk | Block or manual review on sensitive actions |
Treat these as a starting point. Watch your false-positive and fraud rates and shift the boundaries to match your business. A marketplace handling payouts will run tighter than a content site.
Where to use it
- Signups — gate account creation above a threshold to stop disposable and bot accounts.
- Login — step up authentication for risky IPs to fight account takeover.
- Checkout — hold or review high-score transactions.
- Review queues — prioritise the riskiest traffic for human analysts.
Common mistakes
- Treating the score as a verdict. It is a risk signal. Legitimate users sometimes score high; that's why the mid band is a challenge, not a ban.
- Setting and forgetting thresholds. Re-tune as fraud patterns shift.
- Ignoring the action's value. The same score should trigger different responses on a blog comment vs. a withdrawal.
Bottom line
An IP fraud score turns a cluster of risk signals — VPN, proxy, Tor, hosting, abuse — into a single 0–100 number you can threshold. Use it to decide how much friction to add, tune the thresholds against your own data, and never treat a high score as proof of fraud. Try it on any IP with the IP fraud score tool.