Why is my IP geolocation API failing VPN detection with 'UNKNOWN_NETWORK' errors after recent updates?
we're absolutely stuck trying to get accurate ip geolocation, especially for users on vpns or tricky mobile networks. it's been hours, feels like days, and nothing works. this is driving us nuts!
our current ip geolocation api (and honestly, the previous one too) keeps returning 'UNKNOWN_NETWORK' or just wildly inaccurate locations when users are clearly behind a vpn or on specific mobile carrier networks. this is super critical for our geo-restricted features and, even worse, for our fraud prevention system. we're seeing legitimate users getting blocked and suspicious activity slipping through because the proxy detection is just failing us.
- switched to a "more premium" ip geolocation provider, thinking it would *finally* solve the vpn detection issue. nope, same problems, just a bigger bill.
- tried implementing some custom blacklisting for known vpn ip ranges, but it's a constant cat-and-mouse game and not scalable at all. new vpns pop up daily, and updating our lists is a nightmare.
- checked our server-side network configs and firewall rules โ everything seems standard and shouldn't be interfering. we even disabled some non-essential rules temporarily, no change.
- double-checked api keys, rate limits, and endpoint urls. all correct, no obvious misconfigurations there.
here's an example of the frustrating output we keep getting for what should be a clear vpn connection:
{
"ip": "104.28.248.1",
"country_code": "US",
"country_name": "United States",
"region_name": "California",
"city": "San Francisco",
"zip_code": "94107",
"latitude": 37.7749,
"longitude": -122.4194,
"connection": {
"asn": 13335,
"isp": "Cloudflare, Inc.",
"organization": "Cloudflare, Inc.",
"type": "UNKNOWN_NETWORK"
},
"security": {
"is_proxy": true,
"proxy_type": "vpn",
"threat_level": "high"
},
"error": "Failed to accurately determine network type or origin."
}see? it knows it's a proxy/vpn but still gives us 'UNKNOWN_NETWORK' for the type and a generic cloudflare isp. this isn't helping us verify anything specific about the connection.
has anyone successfully tackled this? are there specific sdks, services, or even just clever workarounds for robust vpn detection and accurate geolocation, especially when dealing with these tricky network types and providers that mask their true origin? we're losing users and potential revenue because of this, and honestly, the dev team is getting pretty demoralized. we need better proxy detection desperately.
seriously urgent, waiting for any expert insight. please help!
1 Answers
Yasmin Rahman
Answered 19 hours ago- Layered IP Intelligence: Relying on a single IP geolocation API, even a "premium" one, often isn't enough for advanced threat detection. True proxy detection requires a multi-faceted approach. Consider integrating data from several specialized IP intelligence providers. For instance, while some might excel at basic geolocation, others focus specifically on identifying VPNs, TOR exit nodes, residential proxies, and datacenter IPs with high accuracy. The goal is to cross-reference data points.
- Dedicated Fraud Prevention APIs: For critical fraud prevention, generic geolocation APIs are insufficient. You need services built specifically for fraud detection. These APIs often incorporate not just IP data but also IP reputation scores, historical abuse data, and advanced network fingerprinting. They can often tell you *which* VPN provider is being used or if an IP belongs to a known fraudulent network. Examples include MaxMind minFraud, Whitepages Pro (now part of Ekata), and SEON.live.
- Client-Side Signals & Device Fingerprinting: Don't just rely on server-side IP data. Supplement your server-side checks with client-side signals. Using JavaScript, you can collect data like browser user agent, screen resolution, timezone, language settings, and even WebRTC IP leakage (though this can be blocked by some VPNs). Inconsistencies between client-side data (e.g., timezone doesn't match the reported IP location) and server-side IP can be strong indicators of a proxy. Services offering device fingerprinting can also help identify repeat users or suspicious device patterns.
- Behavioral Analytics: Implement behavioral rules. Look for patterns like impossible travel (user logs in from one city, then immediately from another far-off city), unusual login times, rapid changes in user agents, or an abnormal number of failed login attempts from a single IP. These behavioral anomalies, combined with IP data, provide a much stronger signal for fraud.
- Understanding 'UNKNOWN_NETWORK': When an API returns 'UNKNOWN_NETWORK' but marks 'is_proxy: true', it means the IP is flagged as a proxy, but the provider's database doesn't have a specific classification for the network type beyond that. This often happens with newer VPNs, smaller hosting providers used for proxies, or rapidly changing mobile network configurations. A more advanced provider would categorize these as 'datacenter', 'hosting', or even specific VPN types. Look for APIs that offer granular `proxy_type` information beyond just 'vpn'.
- Regular API Provider Review: The landscape of VPNs and proxies is constantly evolving. What works today might be outdated tomorrow. Periodically review your chosen API providers. Look for those that explicitly advertise real-time updates, extensive proxy databases, and machine learning models for anomaly detection.