Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
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Updated
Jul 11, 2024 - TypeScript
Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
Creepy device and browser fingerprinting
Scheme flooding vulnerability: how it works and why it is a threat to anonymous browsing
An overpowered JavaScript browser fingerprinting library for creating persistent, unique and long-lasting digital fingerprints.
Node.js wrapper for FingerprintJS Server API
Fingerprint Pro Azure Integration is responsible for proxying identification and JavaScript agent download requests that are performed on your Azure infrastructure
Fingerprint Pro Akamai Integration is responsible for proxying identification and JavaScript agent download requests that are performed on your Akamai infrastructure.
The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.
Creati a unique ID based on intrinsic properties of a browser and it's parent system without saving any session or cookie data
Unlock the power of a distinctive browser ID, enabling personalized user experiences and enhanced security.
Fingerprint Pro Fastly VCL Integration is responsible for proxying identification and JavaScript agent download requests that are performed on your Fastly infrastructure.
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