Proxy score check is a service that instantly determines how risky a user, click, or transaction is based on an IP address and optional device information. It also reveals the type of proxy and VPN, the ISP, the geolocation, connection type, recent reputation activity, overall fraud score and more. Combined with SEON’s vast threat network, it provides a much greater hit rate at identifying bad users and risky payments compared to traditional methods.

This isn’t to say that the old methods are useless. Blacklists are a classic method of identifying proxies, though they’re not always the most accurate. And device fingerprinting is another technique that can help identify proxies by matching the IP timezone with the browser timezone.

Assessing Security: Proxy Score Check

In addition to these traditional methods, machine learning and AI have shown promising results in reducing proxy detection. These advanced tools can analyze large volumes of data and detect complex patterns that are difficult or impossible to replicate by human eyes. They can also assess behavior patterns like repetitive actions, rapid sequences of clicks, and abnormal navigation flows that may signal the use of proxies.

When used in conjunction with a robust API security system, a proxy score check is a powerful tool to reduce the risk of fraud and abuse. It can be configured to include or exclude a wide range of factors including the presence of an IP in a blacklist, the ISP associated with that IP, and its historical performance. These characteristics can then be incorporated into a predictive model to determine how likely the IP is to engage in fraudulent activity.