How to Customize Browser Fingerprints for Multiple eBay Accounts (2026 Guide)

Anyone running multiple eBay accounts has likely encountered this problem: even when your operating habits, browser environments, and even networks are different, the accounts still get “linked” by the system.

In fact, the browser fingerprint environment is what platforms focus on monitoring the most—especially Canvas and WebGL fingerprints. They are invisible and intangible, yet they are the easiest way to expose the real device.

Next, we’ll explain in detail how Canvas/WebGL fingerprints are detected, how to customize them properly, and how to use the ToDetect Fingerprint Checking Tool to verify whether your account environment is truly secure.

I. What Is a Browser Fingerprint and Why Is It Important?

Simply put, it is a unique identifier generated when a browser accesses a webpage. It records information such as your operating system, browser type, screen resolution, plugins, and even Canvas and WebGL rendering data.

For e-commerce platforms like eBay, this information can be used to determine whether multiple accounts are operated by the same person. Common fingerprint dimensions include:

•  Canvas fingerprint

•  WebGL fingerprint

•  User-Agent

•  Time zone, language, resolution

•  Fonts and plugin information

Therefore, if these parameters are highly consistent across multiple accounts, the platform may identify them as belonging to the same operator, triggering bans or feature restrictions.

II. What Are the Characteristics of Canvas and WebGL Fingerprints?

Within browser fingerprinting, Canvas and WebGL fingerprints are particularly sensitive.

Both obtain unique device rendering information through browser graphics APIs. For example:

•  Canvas generates a unique identifier by drawing text or graphics and extracting pixel data.

•  WebGL generates hardware-related characteristics through 3D rendering.

These fingerprints are highly sensitive to GPU, graphics drivers, and operating system versions. Even if you switch browsers, Canvas/WebGL fingerprints may still reveal your real device information.

III. How to Customize Browser Canvas/WebGL Fingerprints?

1. Use Multi-Account Browser Tools

There are professional multi-account browser tools on the market. Their core principle is to create an independent “browser environment” for each account. Key features include:

•  Randomizing Canvas/WebGL fingerprints:
The system alters rendering data in the background so that different accounts on the same computer generate different fingerprints.

•  Modifying User-Agent, plugins, fonts, and resolution:
These are core components of browser fingerprints and can be randomized or customized.

•  Multi-account environment isolation:
Each account has independent cache, cookies, and LocalStorage, preventing cross-account linkage.

For most sellers, using these tools is the most efficient approach, eliminating the need to modify code while significantly reducing the risk of account association.

2. Manually Modify Canvas/WebGL Fingerprints

•  Intercept Canvas methods

Through browser extensions or user scripts, intercept
HTMLCanvasElement.prototype.toDataURL
or
CanvasRenderingContext2D.prototype.getImageData
and add slight noise to the returned pixel data, causing the Canvas fingerprint to change.

•  Modify WebGL rendering parameters

Intercept
WebGLRenderingContext.prototype.getParameter
or
drawElements
and introduce small deviations in GPU rendering parameters.

For example, slightly adjust color values or vertex coordinates so the rendering output differs subtly while remaining visually indistinguishable.

This ensures that even on the same computer, multiple accounts will have different WebGL fingerprints.

•  Randomize seeds

Canvas/WebGL rendering can be based on a random seed. By changing the seed, each render produces a different fingerprint.

⚠️ Note: Manual modification requires frontend knowledge. Incorrect changes may cause rendering issues or browser crashes, so beginners are advised to start with tools.

3. Control Hardware Fingerprint Exposure

Canvas/WebGL fingerprints are influenced not only by the browser but also by the graphics card, GPU, and drivers.

If hardware characteristics are identical across multiple accounts, they can still be identified. Control methods include:

•  Use virtual machines or VPS

Install browsers in virtual environments. Virtual machines can simulate graphics cards, reducing exposure of real hardware information.

•  Modify GPU drivers or parameters

Use software simulation or adjust virtual GPU parameters so the system recognizes different GPUs.

•  Customize browser kernels

Advanced methods include modifying the Chromium kernel or using browsers that support fingerprint spoofing to reduce hardware data leakage at a deeper level.

By combining these techniques, Canvas/WebGL fingerprints across multiple accounts can be highly differentiated, greatly reducing the risk of account association on platforms like eBay.

IV. How to Check Whether Your Browser Fingerprint Is Secure?

Customizing fingerprints alone is not enough. You should also regularly use the ToDetect Fingerprint Checking Tool:

•  Check the current browser’s Canvas and WebGL fingerprints

•  Inspect other fingerprint data such as User-Agent, plugins, and fonts

•  Analyze fingerprint differences between accounts to assess association risks

The process is simple—just open ToDetect in your browser to view a detailed report.

If Canvas/WebGL fingerprints across accounts are too similar, further optimization is required.

In Conclusion

Whether multiple eBay accounts can run stably is no longer just an IP or network issue—it is a comprehensive browser fingerprint management challenge.

Whether you choose multi-account browser tools or manually modify Canvas/WebGL fingerprints, the core goal is the same: make each account appear to come from a different, real, and reasonable device environment.

Make it a habit to regularly test your setup using the ToDetect Fingerprint Checking Tool or other fingerprint detection platforms. Compare fingerprint data across accounts, identify issues early, and adjust your environment—rather than waiting until accounts are restricted or banned.