Proxies hide the origin of targeted attacks, making it harder to identify and mitigate threats. Residential proxies, in particular, often disguise malicious activity from ISPs and can distort analytics data, depriving teams of actionable intelligence. IPinfo’s dataset helps businesses identify and filter proxy-driven traffic, enabling them to maintain clean logs and generate accurate insights.

Proxy detection & analytics database can be used to identify harmful users, catch them in the act of committing fraudulent activities and prevent them from accessing sensitive platforms and content. Many online businesses leverage a combination of methods to detect and prevent proxy usage, including comparing IP addresses against known proxies, checking geolocation against public databases and monitoring traffic patterns for anomalies that suggest a user is spoofing their identity with a proxy.

A common method of identifying proxy use is to compare the operating system advertised in a user’s browser with the one revealed by a device fingerprint check (screen resolution, installed plugins and more). When combined with other detection methods such as rate-limiting and CAPTCHA challenges, this can be an effective way to filter out automated traffic from bots and proxies.

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Another technique is to examine the URL query string for base64 encoded information that may indicate a malicious file transfer or beaconing by malware. Finally, analyzing data patterns can help identify inconsistencies that suggest a user is using a proxy, such as unusual navigation patterns or high response times. This can be further enhanced by integrating behavioral analysis with a proxy detection algorithm to improve accuracy and catch more sophisticated evasion techniques.