When a website or other service connects to your device, you’re automatically connected to the Internet through an IP address. This strange jumble of letters and numbers allows your computer, phone, tablet, smart fridge or anything else to connect with each other and access the information on the web.

Scoring fraudulent IP addresses is an important task for businesses to reduce risk and protect customer data. The process of analyzing an IP address involves predictive algorithms and machine learning to determine whether the user, third party, or even device is associated with fraudulent behavior. This is accomplished by analyzing multiple factors that align with fraud patterns, such as:

How is an IP Fraud Score Calculated?

The main task in scoring an IP address is to identify risk factors and assign scores based on these. This is done by assessing various parameters such as connection type, location consistency, whether the IP is used with VPNs or emulators that hide or manipulate IP info, transaction history, and more.

The result is a fraud score that can be used to help minimize the risk of bad actors entering your business. You can then take action based on the score, such as blocking access to your site or services. Some tools also provide a detailed report of the results, including additional details such as country, operator, and proxy status. In addition, some of the best fraud detection tools allow you to cross-reference your findings by using other blacklist checkers.