For those engaged in cross-border business, e-commerce, or social media matrix operations, there is one issue they cannot avoid: why are accounts increasingly easy to link?
In simple terms, most problems do not lie in surface-level operations but are hidden within the browser fingerprint environment, especially the often-overlooked Canvas fingerprint anti-linking.
Platforms nowadays are no longer performing simple account checks but have developed a full browser fingerprint detection system.
Next, I will share how to specifically configure multi-account browser Canvas fingerprint anti-linking, as well as how to properly set up and manage other parameters.

Previously, platforms mainly looked at IPs and cookies, but now they have long since upgraded.
Mainstream platforms implement a complete browser fingerprint detection system, including but not limited to:
• Canvas fingerprint
• WebGL fingerprint
• Fonts, resolution, time zone
• Hardware parameters, system information
• Behavioral patterns
Even if your IP is different, if the browser fingerprints are highly similar, the system can still determine it is "the same person."
So now, when managing multiple accounts, the core is not "changing IP," but building a fully isolated browser fingerprint environment.
Among all browser fingerprints, Canvas fingerprint has a very high hit rate.
Simply put, Canvas generates a unique image through the GPU, drivers, and system rendering methods, and the results are almost always different across devices.
Once a platform records it, the next time you log in using the same Canvas fingerprint, even with a different account, it is very easy to link.
This is why many multi-account browsers now include Canvas fingerprint anti-linking as a core feature.
Let's get practical and skip too much theoretical talk.
Each account must be bound to an independent browser fingerprint environment, including:
• Independent Canvas fingerprint
• Independent WebGL
• Independent local storage
• Independent IP (preferably residential or native)
Do not think about "switching accounts in the same environment," as this is the most common mistake for beginners.
Many people assume "random Canvas" is safe, but that is not necessarily true.
A truly effective Canvas fingerprint anti-linking requires three conditions:
• Reasonableness: the generated Canvas should match real device logic
• Stability: the same environment should not change frequently across multiple openings
• Differentiation: different accounts should not have highly similar fingerprints
If the Canvas changes every time it refreshes, it is more likely to be flagged as an abnormal environment by risk control.
Canvas fingerprint cannot be considered alone; it must align with the following parameters:
• Operating system
• GPU model
• Browser version
• Resolution
For example, if you are using Windows but generate a Canvas fingerprint that clearly resembles a Mac, it is essentially exposing yourself.
Configuration is not the end; checking is the key.
We strongly recommend forming the habit: each time you create a new environment, perform a browser fingerprint check first.
The ToDetect fingerprint checking tool helps to:
• Check if the Canvas is unique
• Check if the fingerprint is too “clean” or abnormal
• Check for high duplication risks
• Assess the overall credibility of the environment
You can think of it as a “health check tool,” identifying issues early, which is much better than finding out after your account gets banned.
These are lessons learned from real-world mistakes:
• Do not frequently modify fingerprint parameters; stick to one environment per account
• Login times and activity rhythms for the same account should mimic real users
• Do not operate multiple accounts simultaneously in large numbers
• Both fingerprint environment and behavioral patterns are essential
Multi-account anti-linking is never solved by a single factor; it is a complete system engineering task.
In one sentence: multi-account anti-linking is not about who uses more tools, but who understands the details more thoroughly.
Canvas fingerprint, anti-linking browsers, proxy IPs, and activity rhythms alone cannot solve the problem; only when combined into a real, stable, and credible browser fingerprint environment can accounts survive long-term.
It is recommended that during actual operations, you regularly use tools like the ToDetect fingerprint checking tool to monitor your browser fingerprint status, eliminating risks before login rather than investigating only after problems occur.