News and articles: anti-fraud

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Antidetect

Browser device model built from GPU, performance, screen, font and browser signals

BrowserFM: 16,000 Parameters to Identify Your Browser

Why changing a few parameters no longer works — and how a browser fingerprint becomes a device model

Antidetect

26.08.26

Antidetect

A browser acts as a virtual machine that uses WebAssembly to help identify the user.

WebAssembly Fingerprinting: How a Browser Turns into a Virtual Machine and Begins to Recognize the User

How WebAssembly helps websites identify users based on their browser and hardware behavior.

Antidetect

03.05.26

Antidetect

Graph of browser window size changes and their use in antifraud systems.

Browser window sizes and browser events, anti-fraud systems and user identification techniques

Analyzing browser window sizes and events helps anti-fraud systems detect data spoofing and action emulation.

Bannykh M.V.

05.01.25

Antidetect

Detailed analysis of User Agent parameters and browser memory for fraud detection and device identification.

User-Agent and browser memory: some of the key parameters in anti-fraud systems

Learn how anti-fraud systems use User Agent and browser memory to detect fraud and ensure device uniqueness.

Bannykh M.V.

16.12.24