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This detailed breakdown highlights the critical parameters Facebook uses to detect arbitrageurs and multi-account activity, especially in the context of affiliate marketing. Arbitrators typically use either antidetect browsers like GoLogin or work directly from a MacBook and a Google profile. Antidetect browsers are powerful tools that mask various digital fingerprints such as WebRTC, Canvas, WebGL, screen resolution, and more to create unique, believable user environments. Each profile in such browsers must accurately match real-world configurations—for example, screen resolutions should be consistent with the operating system used (e.g., macOS has fixed native resolutions that shouldn't be faked with non-existent values). Language settings must also align with the IP’s GEO to avoid triggering suspicion. Canvas and WebGL—originally designed for rendering 2D and 3D content—are now exploited by anti-fraud systems to identify spoofed or mismatched environments. If Canvas or WebGL outputs don’t match the underlying system specs, bans can follow. Other sensitive parameters include WebRTC (which reveals audio/video devices and IPs), AudioContext (which generates unique sound card hashes), GPS location, and User-Agent strings. Misalignment in these fields increases the risk of detection. Ultimately, while GoLogin and similar tools automate much of this spoofing, improper manual configuration or mismatch between parameters can still lead to bans. Thus, to operate effectively on platforms like Facebook without getting flagged, using a well-configured, high-quality antidetect browser is essential for arbitrage professionals.

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