Berita dan artikel: antidetect

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Antidetect

Canvas Picasso: how modern anti-fraud systems detect device spoofing and rendering noise.

How Canvas Picasso helps anti-fraud systems recognise device spoofing, rendering noise, and emulators.

None

29.11.25

Antidetect

Bank mtb.com registration with browser settings analysis.

A review of the anti-fraud system of the financial organization M&T Bank

Analyzing the data that the bank's anti-fraud system collects from mtb.com and methods to circumvent blocking.

Bannykh M.V.

29.03.25

Antidetect

Comparison of network fingerprints in different browsers and their impact on antifraud systems.

Network fingerprinting in antifraud systems: p0f, JA3, JA4 and other user identification methods

Modern antifraud systems use network fingerprints such as p0f, JA3 and JA4 to identify devices and detect bots.

Bannykh M.V.

30.01.25

Antidetect

An example of analyzing fonts to create a unique device fingerprint in anti-fraud systems.

Browser Fonts: key parameters for anti-fraud systems

The use of fonts in anti-fraud systems helps to uniquely identify devices and detect fraudulent activity.

Bannykh M.V.

10.01.25

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

Antidetect

Analyzing browser language settings to identify suspicious users in antifraud systems.

Browser languages, location and their use in Antifraud systems

Browser language parameters play a key role in the work of anti-fraud systems, helping to detect discrepancies between the user's settings and his real device parameters.

Bannykh M.V.

29.11.24

Antidetect

An example of using the Web Audio API for audio fingerprinting in anti-fraud systems.

Web Audio API technology in Anti-Fraud systems and methods of user identification

Web Audio API provides audio analysis and processing capabilities that have found application in anti-fraud systems for creating unique audio fingerprints of devices. This article discusses how to work with the technology and how to counter fingerprint sp

Bannykh M.V.

17.11.24

Antidetect

Comparison of WebGPU performance and capabilities on different devices for antifraud tasks

WebGPU technology in Antifraud systems and methods of user identification

This paper describes how WebGPU technology assists anti-fraud systems in user identification and anti-fraud efforts by utilizing unique graphical fingerprints of devices. The capabilities of WebGPU in creating accurate digital fingerprints and detecting c

_Bannykh M.V._

09.11.24

Antidetect

Application of WebGL technology in anti-fraud systems to protect against fraud.

WebGL technology in Anti-Fraud systems and user identification techniques

WebGL is a powerful technology for rendering 3D graphics in GPU-enabled browsers that has found application in anti-fraud systems to create unique device fingerprints. It helps to improve the performance and security of web applications.

Bannykh M.V

01.11.24