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How does Fingerprint Pro work?

Published in Fraud Detection 2 mins read

Fingerprint Pro works by employing a sophisticated multi-faceted approach to identify website visitors with high accuracy, primarily for fraud prevention. It leverages a combination of technologies to achieve this.

Here's a breakdown of the key components:

  • Browser Fingerprinting: This technique gathers a wide array of data points about a user's browser configuration, such as:

    • Browser type and version
    • Operating system
    • Installed fonts
    • Plugins and extensions
    • Hardware specifications (e.g., CPU, GPU)
    • Canvas rendering
    • Audio context

    These data points are then hashed into a unique identifier representing the user's browser environment.

  • IP/URL Analysis: This involves examining the user's IP address and the URLs they are accessing. This information can reveal:

    • Geographic location
    • Proxy usage
    • VPN usage
    • Suspicious activity patterns
  • Device Analysis: Information about the user's device is collected to further refine the identification process. This includes:

    • Device type (e.g., desktop, mobile, tablet)
    • Operating system version
    • Hardware model
  • Machine Learning: Fingerprint Pro uses machine learning algorithms to analyze the collected data and identify patterns indicative of fraudulent behavior. This enables the system to:

    • Improve accuracy over time
    • Detect sophisticated fraud attempts
    • Adapt to evolving user behavior

According to the reference, Fingerprint uses "an innovative combination of browser fingerprinting, IP/URL analysis, device analysis, and machine learning to accurately identify up to 99.5% of unique visitors to prevent fraud - including account takeover, account sharing, promo abuse, and payment fraud."

In essence, Fingerprint Pro creates a comprehensive profile of each user, combining various data points and advanced analytics to accurately distinguish unique visitors and detect potentially fraudulent activities. This level of accuracy significantly reduces the risk of account takeover, promo abuse, and payment fraud.