Have you ever thought about—even if you don't turn on location services or log into an account, the platform can actually "recognize" you? This is not metaphysics, but rather identified through browser fingerprint detection.
Many people are not very clear about what specific items are included in browser fingerprint detection. Next, I will provide a detailed breakdown and analysis for you to understand at a glance.

In simple terms, browser fingerprinting is when a website collects a series of characteristic information about your browser and device to piece together a "unique" identity identifier.
For example: It doesn't matter if two people are wearing black clothes in real life, but if you add height, shoe size, hair color, and accent, it can almost identify who you are. This is how browser fingerprints are formed.
Browser name (Chrome, Firefox, Safari, etc.) and version number.
Because different browsers and their versions render and support features differently.
Operating system name and version (Windows, macOS, Linux, Android, iOS, etc.).
Different systems imply differences in the underlying environment.
Browser language and system language settings.
Language preferences can reflect the user's region or preferences.
Browser plugins, extension installation status, and whether certain features are enabled (such as script blocking, ad blocking).
These are also the "features" of recognition.
Supported fonts, installed font set.
Because font sets often differ due to device variations.
Support for rendering technologies, such as HTML5, Canvas, and WebGL.
Because there are subtle differences between different device/browser combinations.
Screen resolution, pixel ratio, viewport size.
There are obvious differences between humans using computers, smartphones, and tablets.
Time Zone, System Time Zone, Date Format, Locale.
These small details may seem irrelevant, but when combined, they can help with identification.
Supports touch, screen orientation, device type (desktop / mobile).
These are all considered "labels" for the equipment.
Hardware acceleration, graphics card type, audio/video decoding support.
Especially common in Canvas or WebGL fingerprints.
IP address, geographical location (inferred through IP or other means).
Although it changes quickly, it can still serve as a reference for identification.
HTTP request headers (including User-Agent, Accept-Language, Referer, etc.).
These are messages automatically sent by the browser.
Cookie and LocalStorage status.
Although many fingerprint detection methods do not rely solely on this, it may still be used as a supplement.
However, pure browser fingerprints tend to not rely on cookies.
Usage of proxies / VPNs / TOR or suspicious connection patterns.
If a visitor uses a proxy/VPN, they may be flagged as high risk.
If you are a website operator, developer, or engaged in risk control, using ToDetect browser fingerprint detection can help you save a lot of time and costs.
Application scenarios include:
Identifying repeat users: even if cookies are cleared or incognito mode is used, it can still determine whether it is the same device.
Prevent fraud or abuse: For example, issues like account spoofing, fake orders, and multiple account logins can be effectively identified through fingerprint detection.
User behavior analysis: Understand the distribution of visitor devices to optimize website compatibility and performance.
Compliance and Privacy Controls: ToDetect generally has a compliance design that helps enterprises legally collect and use fingerprint information.
Although browser fingerprinting is powerful, there are some points to be aware of when using it:
Do not rely entirely on single fingerprint recognition.
Fingerprint is only one of the judgment criteria and is best used in combination with login behavior, access frequency, device changes, etc.
To consider equipment updates.
After the user changes their phone, upgrades the system, or updates the browser, the fingerprint may have slight variations. The system needs to have a certain "tolerance."
Focus on privacy compliance
If it involves cross-site tracking or long-term identification, it is necessary to comply with relevant privacy regulations such as GDPR and CCPA.
Balancing safety and experience
Overly strict detection may harm normal users, while being too lenient can create loopholes. It is recommended to flexibly adjust based on actual business needs.
The essence of browser fingerprint detection is not "privacy invasion," but rather to establish a safer network trust mechanism.
The more items included in browser fingerprint detection, the more accurate the identification is; however, its use must be reasonable and compliant.
If you want to quickly integrate this type of functionality into your project, ToDetect browser fingerprint detection is a good choice—it can help you easily identify device characteristics while balancing privacy and performance.
AD
How to Use ToDetect to Check Your Browser Fingerprint?
2025 ToDetect Browser Fingerprint Detection & Anti-Association Setup Guide
What Browser Fingerprinting Can Reveal
How to Use ToDetect to Check Your Browser Fingerprint?
The Ultimate Anti-Linking Tool for Multi-Account Matrix Marketing: Browser Fingerprint Detection
One-Click Browser Fingerprint Check! The Ultimate Guide to Preventing Account Linking and Bans on Amazon/eBay Multi-Store Operations