VPN Detection and Filtering Tool
VPN detection is used by websites and online services to determine if a user’s network traffic is being routed through a virtual private network. VPNs encrypt data, but tricks like traffic analysis can still reveal that someone is using one. For this reason, many websites and services use VPN detection and filtering tools to prevent or block users with VPNs from accessing their sites and using their online services.
The VPN detection and filtering tool is by examining the metadata in incoming data packets to see if it matches a set of known patterns that indicate VPN usage (such as the MTU of an OpenVPN connection or the presence of certain obfuscation protocols). This method requires a thorough tcpdump capture and a bit of processing. However, it can be inaccurate and it doesn’t scale well.
Complete API Documentation for Fraud Detection Developers
Another method is deep packet inspection, which analyzes the contents of data packets to look for specific patterns. This is more accurate but slow and expensive to implement. Many governments and large businesses use DPI to protect against cyberattacks and to block sites that are critical of their government or policies.
Whether your team is building customer-facing applications, enhancing internal systems or delivering location-based content, accurate IP data is essential for success. VPN detection makes it easy to identify fake traffic and remove skewing metrics from your analytics, so you can make better decisions based on the data that matters to you. This includes fraud risk scoring, optimizing your ads and ensuring that your content is reaching real people in the places it needs to.
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