Fingerprint.com

What is Fingerprint.com?

Fingerprint.com is a sophisticated device intelligence platform that evolved from the highly popular open-source project FingerprintJS. This GitHub repository, boasting over 20,000 stars, laid the groundwork for what has become a powerful commercial solution for businesses seeking to identify and understand their online visitors with remarkable accuracy.

At its core, Fingerprint.com aims to provide businesses with actionable intelligence about their web and mobile app traffic. This information is crucial for preventing fraud, improving user experiences, and making informed decisions about how to handle different types of visitors.

The platform has significantly expanded upon the original FingerprintJS capabilities, now boasting an impressive 99.5% accuracy rate in identifying returning visitors. This makes it a valuable asset for companies dealing with online transactions, user accounts, or any situation where user identity is critical.

From Open Source to Commercial Solution

The journey of Fingerprint.com from an open-source library to a comprehensive commercial platform is noteworthy:

1. FingerprintJS Origins: The project began as a client-side, browser fingerprinting library that computed hashed visitor identifiers from various browser attributes.

2. Open Source Popularity: With over 20,000 stars on GitHub, FingerprintJS demonstrated significant community interest and validation of its approach.

3. Commercial Transition: Recognizing the limitations of client-side processing, the team developed a closed-source, server-side solution to dramatically improve accuracy and security.

4. Expanded Capabilities: The commercial version added features like bot detection, incognito mode identification, and mobile app support, addressing a broader range of use cases.

Key Features of Fingerprint.com

Building on its open-source roots, Fingerprint.com now offers a range of advanced features:

1. Enhanced Visitor Identification: The platform generates a unique ID for each visitor, which remains constant even when using incognito mode or VPNs, improving upon the original FingerprintJS concept.

2. Smart Signals: These provide additional context about visitors, including incognito browsing detection, bot detection, and VPN usage identification.

3. Mobile App Traffic Intelligence: Fingerprint.com extends its capabilities to mobile apps, offering identification for both Android and iOS devices.

4. Server-Side Processing: Unlike the client-side FingerprintJS, Fingerprint.com processes data on the server, significantly enhancing accuracy and security.

Use Cases and Applications

Fingerprint.com's enhanced capabilities cater to a wide range of industries and use cases:

1. Fraud Prevention: The platform helps businesses identify and prevent various types of online fraud, including payment fraud, account takeovers, and new account fraud.

2. User Experience Improvement: By recognizing returning users, businesses can provide personalized experiences without requiring logins.

3. Content Monetization: Fingerprint.com can help enforce paywalls and prevent account sharing, crucial for subscription-based services.

4. Bot Detection: The platform's ability to distinguish between human and bot traffic can be valuable for protecting against automated attacks.

Technical Implementation

While more complex than the original FingerprintJS, implementing Fingerprint.com is designed to be straightforward:

1. The process begins with adding a JavaScript snippet to the site or integrating the SDK into a mobile app.

2. This snippet generates a unique visitor ID for each user, which can be accessed via API calls.

3. Additional data, such as IP geolocation and browser details, are also available through the API.

4. The platform offers webhooks for real-time notifications and server-side APIs for more complex integrations.

Licensing and Availability

It's important to note the licensing changes as Fingerprint.com evolved:

1. FingerprintJS is now licensed under Business Source License 1.1, allowing free use for non-production purposes.

2. Commercial use, including revenue-generating applications and SaaS products, requires a paid license.

3. Fingerprint.com offers various pricing plans, starting at $99 per month for up to 20,000 API calls.

Conclusion

Fingerprint.com represents a significant evolution from its open-source origins as FingerprintJS. By addressing the limitations of client-side processing and expanding its feature set, it has become a robust solution for businesses looking to gain deeper insights into their online traffic and protect against fraud.

The platform's journey from a popular GitHub project to a commercial product demonstrates the potential for open-source technologies to evolve into comprehensive, enterprise-grade solutions. As online fraud continues to evolve, tools like Fingerprint.com play an increasingly important role in helping businesses stay one step ahead, providing a clearer picture of who's behind each online interaction.

Table of Contents
What is Fingerprint.com?
From Open Source to Commercial Solution
Key Features of Fingerprint.com
Use Cases and Applications
Technical Implementation
Licensing and Availability
Conclusion
You can try this tool by visiting website https://fingerprint.com/demo/
WARNING: This tool is provided through an iframe tag and is not affiliated with and is not endorsed by Rebrowser. We are not responsible for any claims, data collection, or results provided by this tool. Use this third-party service at your own risk. We recommend reviewing their privacy policy and terms of service before use. Never enter any Rebrowser's credentials or other sensitive information in 3rd party services.
Try Rebrowser for free. Join our waitlist.
Due to high demand, Rebrowser is currently available by invitation only.
We're expanding our user base daily, so join our waitlist today.
Just share your email to unlock a new world of seamless automation.
Create Account
Get invited within 7 days
No credit card required
No spam
Other Browser Fingerprinting Tools
creepjs
CreepJS
CreepJS is an open-source browser fingerprinting tool created by abrahamjuliot in 2020. It detects JavaScript tampering, fingerprints lie patterns and extensions, and analyzes browser privacy settings. While comprehensive, some techniques are highly artificial and may not reflect real-world usage by major platforms.
browserleaks
Browserleaks
BrowserLeaks.com is a comprehensive suite of tools for evaluating browser security and privacy. It offers tests for IP address leaks, JavaScript capabilities, WebRTC vulnerabilities, canvas fingerprinting, WebGL analysis, font fingerprinting, geolocation API, feature detection, SSL/TLS client testing, and content filter identification.
iphey
Iphey.com
Iphey.com is a browser fingerprinting tool that analyzes digital identities, affiliated with the anti-detect browser GoLogin. It provides detailed insights on browser settings, location, IP address, hardware parameters, and software configurations. Iphey.com compares user data against a global database to determine trustworthiness and potential for server bans.
coveryourtracks
Cover Your Tracks
Cover Your Tracks is a tool by the Electronic Frontier Foundation that analyzes browser fingerprints and evaluates privacy protections. It provides detailed insights on how trackers view your browser, including HTTP headers, JavaScript-derived characteristics, and hardware specifications, helping users understand their digital footprint and improve online privacy.
pixelscan
Pixelscan.net
Pixelscan is a browser fingerprinting tool that detects bots in 20 milliseconds with 99.5% accuracy. It analyzes IP addresses, geolocation, and hardware profiles. Uniquely, Pixelscan helps improve web scraping techniques while maintaining a strict no-data-selling policy, balancing bot detection and creation needs.
amiunique
Am I Unique?
Am I Unique? is a website that analyzes browser fingerprints to study their diversity and uniqueness. It provides detailed information about various browser attributes, including HTTP headers, JavaScript properties, and hardware characteristics, helping users understand their digital footprint and aiding developers in designing better privacy defenses.