The residential proxy reputation data servers makes them popular among fraudsters who use them to hide their true IP addresses, which enables them to carry out malicious activities online. These include click fraud, where fraudsters generate fake clicks on ads; credit card fraud, which allows them to impersonate legitimate customers; and data scraping, where fraudsters collect information from websites without being detected.

Proxy fraud attacks are difficult to detect, but there are a number of red flags to look out for. These include high rates of failed login attempts; different devices and browsers used to access the same site; discrepancies in geographic data; and sudden changes in user behavior.

Residential Proxy Databases: How They Identify Hidden Proxy Networks

Many types of fraud involving proxies can be prevented by using a comprehensive risk management platform that includes advanced analytics, machine learning and global fraud intelligence. This enables businesses to identify and mitigate suspicious activity in real-time, while maintaining trust and operational efficiency.

Unlike IP reputation, which is static and can be easily manipulated through VPNs and proxy rotation, Spur’s detection methodology provides more granular insight into proxies and their usage. This is achieved by inspecting packet headers for corroborating information, such as detecting the presence of certain browser extensions, and leveraging a proprietary scorecard that considers a variety of factors to identify fraudsters in real time.

Fraudulent activity involving proxies is costing businesses worldwide billions of dollars in lost sales, payments, and revenue. It’s important to balance reducing friction to build trust with the need for strong verification checks to prevent costly losses. For example, relying on a single fraud indicator (email, phone, device) can lead to customer frustration and early abandonment, so use progressive profiling that begins with a low-friction, localized message and then escalates to document or liveness checks when the value and risk justify it.