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Fingerprint management for the Afina antidetect browser

Every profile gets the fingerprint of a real device — UA, platform, WebGL, Canvas, Audio, ClientRects, hardware concurrency, deviceMemory and more. Picked from an upstream catalogue of actual devices, not generated noise. Built into every antidetect profile.

Fingerprint management for the Afina antidetect browser
Real device • Real fingerprint

Look like a real device, every time

Modern fingerprint checkers don't just read one property — they cross-check WebGL renderer against UA, ClientRects against screen size, AudioContext against CPU cores. Afina pulls the whole consistent set from a real device, then applies optional noise on top, so each profile reads as a unique but believable machine.

Real device fingerprints

Profiles pull complete fingerprints from an upstream catalogue of actual macOS / Windows machines, not noise generators. Properties stay internally consistent — what fingerprint checkers expect.

Per-OS, per-chip selection

Choose macOS M1/M2/M3/M4, Intel Mac, Windows 10 or Windows 11. WebGL renderer, AudioContext signature, language defaults and OS-specific quirks come pre-aligned with the chip. Available via API and the proxy-aware UI.

Canvas / WebGL / Audio noise

Optional anti-correlation noise on Canvas, WebGL, ClientRects and AudioContext — disable per profile or globally. Configurable inside RPA scripts via account settings.

Anti-detect against modern checkers

Tested against widely-used multi-accounting fingerprint checkers. New checker shows up? The catalogue updates with the next desktop release, no extra config on your side.

FAQs

A combination of browser-readable properties (UA, platform, WebGL renderer, Canvas hash, AudioContext, fonts, screen size, language, time zone, hardware concurrency, deviceMemory, etc.) that uniquely identifies your browser. Anti-detect browsers manage these properties per profile so accounts don't share an identity.

Pulled from real devices. We maintain an upstream catalogue of actual macOS / Windows fingerprints; each new profile gets a consistent set drawn from it. Internal consistency is what most checkers actually test for — generated noise fails immediately.

Yes. Through the API or partial fingerprint payload you can override individual fields (WebGL vendor, languages, screen size, deviceMemory etc.) and Afina merges your overrides over the generated base. Some fields are server-managed for consistency (UA, BrandFullVersion) — see docs/API for the full list.

Optional. Each profile carries four noise toggles (isNoiseCanvasEnabled/Audio/Rects/GL). When on, Afina injects per-profile deterministic perturbations that look like real hardware variation. When off, the profile reads pixel-identical to the source device.

Catalogue and noise logic update with each desktop release. New fingerprint surfaces (new APIs in Chrome) are added as soon as upstream catalogues cover them. You don't have to do anything — install the latest Afina.

Yes. The fields we generate (and don't allow you to override unless you know what you're doing) are pulled from a real machine of that OS/chip combo, so cross-property checks (WebGL renderer ↔ deviceMemory ↔ AudioContext signature) line up the way they would on actual hardware.

Look real to every fingerprint checker

Real device fingerprints, configurable noise and anti-detection updates ship in every release.

Fingerprint management for the Afina antidetect browser