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In our blog, we talk about current methods of fraud protection, multi-accounting, and ways to stay anonymous online.

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.
29.11.25
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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.
29.03.25
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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.
30.01.25
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CEO Detect Expert
Dmytro Momot
Vektor T13
Dmitry has been professionally engaged in research in the field of anti-fraud systems, digital fingerprints and anti-detect solutions for more than ten years. He has developed an anti-detect system based on virtual machines, a technology for assessing the quality of IP and professional IP Auditor software.
He is a regular participant in international specialized conferences and the author of educational content on multi-accounting and anti-fraud systems.
«I develop tools that work at the level of causes, not symptoms»
Dmytro Momot
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