FingerprintJS fingerprints browsers across incognito sessions
Better Stack’s video demonstrates how FingerprintJS combines browser attributes into a hashed visitor ID that can remain stable across private sessions and cleared site data. The open-source client-side library is useful for fraud and abuse detection, but its accuracy is lower and fingerprints can be spoofed or disrupted by privacy-focused browsers.
FingerprintJS shows why a VPN alone does not make a browser anonymous: it changes the network path, not the browser’s recognizable software and rendering signals. Developers should treat the result as a probabilistic abuse-prevention signal, not as authentication.
- –Incognito mode clears local browsing state but generally leaves enough browser characteristics for repeat identification.
- –The client-side implementation is transparent and easy to integrate, but also easier to reverse-engineer and spoof than server-assisted commercial alternatives.
- –Privacy-focused browsers and anti-fingerprinting defenses can reduce fingerprint stability, accuracy, or uniqueness.
- –Strong use cases include fraud scoring, account-abuse detection, and visitor deduplication—not irreversible identity claims.
- –VPN detection and browser fingerprinting solve different problems; combining multiple signals is more reliable than relying on either alone.
DISCOVERED
1h ago
2026-10-16
PUBLISHED
1h ago
2026-10-16
RELEVANCE
AUTHOR
Better Stack