One score can flag a risky internet connection—but it cannot prove who is behind it.
Scamalytics is an IP fraud-intelligence service that evaluates the risk attached to an internet connection. Its tools return a score from 0 to 100, plus signals covering VPNs, proxies, Tor, datacentres, network operators, blacklists and geolocation.
A suspicious IP can be an early warning when combined with identity, device and behavioural checks.
Scamalytics is a fraud-risk enrichment tool that scores IP addresses from 0 to 100. Higher numbers indicate greater suspected fraud risk, but the result is a warning signal—not proof that a specific user is a scammer or has committed fraud.
The Number Behind the Warning
Scamalytics says a score of 0 indicates no known fraud risk. A score of 70 means roughly seven in ten users observed from that IP were associated with fraudulent activity within the company’s visibility.
The distinction is crucial. Scamalytics evaluates an IP address and its surrounding network reputation; it does not establish a person’s identity or intent.
| Output | What it indicates |
|---|---|
| Fraud score | Estimated risk from 0–100 |
| VPN, proxy or Tor | Possible masking of origin |
| ISP, organisation and ASN | Network operator and ownership |
| Location and datacentre status | Registered geography and hosting type |
A shared VPN exit, proxy or hosting server may score higher because many unrelated users route through it. Some may be fraudsters; others may simply value privacy.
How Scamalytics Builds Its View
The formula is proprietary. Scamalytics describes a fraud-detection network with visibility into millions of internet users per month, using observed activity, shared blacklists, machine learning and network intelligence.
A lookup may reflect previous suspicious traffic, ISP risk, anonymising infrastructure, blacklist matches and hosting characteristics.
When direct data for one address is limited, Scamalytics may infer risk from the broader operator’s traffic. Its pages warn that it does not see the entire internet and that non-web traffic may carry a different risk.
The score should guide investigation rather than trigger an automatic accusation.
Where the Tool Fits
Scamalytics can be accessed through its browser checker, API, bulk lookup and on-premises MMDB database. The MMDB product supports fast checks inside a company’s own infrastructure.
Typical uses include registration screening, payment review, login protection, marketplace moderation and dating-platform safety.
A strong workflow might send a high-risk connection to CAPTCHA, stronger verification, rate limits or manual review. It should not block every user on one number alone.
The False-Positive Problem
VPNs, mobile carriers and corporate gateways often place many legitimate users behind one public IP. That shared reputation can make an innocent connection appear riskier.
Scamalytics works best beside device fingerprints, account history, payment behaviour, email reputation and identity verification. Multiple signals can confirm—or challenge—the IP score.
Is Scamalytics accurate?
Scamalytics is a risk-estimation service, not a certainty engine. Its usefulness depends on traffic visibility, fresh network intelligence and surrounding fraud controls. Businesses should use the score to prioritise checks, not as the sole basis for penalising a user.
What is a bad Scamalytics score?
A bad Scamalytics score is a high number showing elevated suspected fraud risk. The correct threshold depends on transaction value, industry and tolerance for false positives. Medium risk may justify extra verification, while very high risk may require manual review.
Can a VPN cause a high fraud score?
A VPN can contribute to a higher score because it conceals the direct network origin and may be shared by many users. VPN use alone is not proof of wrongdoing; people also use VPNs for privacy, cybersecurity and remote access.
A Warning Light, Not a Judge
Scamalytics compresses complex network intelligence into a score that teams can act on quickly. Its real value is identifying connections that deserve closer inspection before access, trust or money changes hands.
Disclaimer: This article is for general information only. Fraud scores, risk labels and third-party data may change or rely on incomplete visibility. Verify important decisions through official documentation and additional security checks.
