Using an IP Address Database for Proxy Detection

Detecting proxy use is a common challenge when it comes to fraud prevention and cyber security. Fraudsters often rely on proxies to hide their true location, evade detection, and mask other malicious behavior. This makes proxy detection an essential tool to help businesses identify potential risks, mitigate risk and improve compliance.

IP address database for proxy detection users are safe, businesses need to know whether an IP address is connecting via a proxy or VPN. Heuristic-based detection tools can be used to flag suspicious IP addresses by examining metadata and headers for signs of proxy usage. They also look at factors like geographical location mismatches and IP address consistency, among others. These methods can be combined with other technologies such as identity verification to increase accuracy and ensure that the user is who they say they are.

While most studies focus on the geographic origin of cyber attacks, there’s a growing trend for cybercriminals to hide their activity behind residential proxies. This masked activity can distort analytics and introduce noise to reports, making it harder for security teams to uncover threats and make informed decisions.

What Can an IP Address Reveal

To prevent this, security teams can leverage a proxy detection database that offers city-level geolocation, ISP data, and advanced proxy detection in one API. This data can be integrated into SOAR platforms in just a few clicks, including Swimlane, Splunk, FireEye, Rapid7, CrowdStrike, and D3 Security, as well as enterprise firewalls like F5, Barracuda, Citrix, and Cisco.