How Browser Fingerprints Work
Browser fingerprint is a set of characteristics that allows a website to distinguish one device and browser from another. This technology is particularly important in affiliate marketing because ad platforms have long since moved beyond relying solely on IP addresses and cookies.
We often see browser fingerprints being perceived as a single, unique identifier. In reality, it is a combination of parameters from which the system builds a digital profile of the user.
What’s Included in a Browser Fingerprint
When a user visits a website, the browser can transmit or allow the identification of a variety of characteristics:
- browser type and version;
- operating system;
- language and time zone;
- screen resolution;
- device specifications;
- Canvas and WebGL data;
- number of CPU cores;
- available fonts and other environment features;
- IP address and approximate geolocation.
Taken individually, many of these parameters seem perfectly ordinary. But their combination can turn out to be quite rare.
For example, a user is located in Germany, uses the German language, is in the German time zone, has a specific device type, a particular browser version, and a distinctive set of hardware parameters. Together, this already constitutes a fairly informative profile.
To understand the basic terminology, it’s helpful to review key terms in affiliate marketing, where fingerprinting is discussed in the context of a publisher’s technical infrastructure.
How the system recognizes a user
Let’s imagine that a user visits the site for the first time. The system collects available browser and device parameters, creates a profile, and can match it to previous visits.
On the next visit, the IP address may have changed, cookies may have been deleted, but some device characteristics will remain the same.
This is precisely why simply changing the IP address does not, in and of itself, mean that the user is now completely new to the system.
Fingerprinting functions more as an additional layer of identification. It does not necessarily allow for the precise identification of a person, but it helps detect connections between sessions and recurring devices.
Why Fingerprinting Is Important in Affiliate Marketing
For webmasters, this is particularly relevant when working with ad networks and a large number of technical profiles.
Ad platforms analyze account behavior holistically: IP, device, browser, payment data, cookies, and other signals.
If several accounts consistently exhibit the same or suspiciously similar technical profiles, the system may flag this.
That’s why technical infrastructure is just as much a part of a publisher’s work today as creativity and analytics.
We’ve covered separately why ad accounts get blocked and why technical signals can be just one part of the bigger picture.
Fingerprint and Anti-Detect Browsers
This is where anti-detect browsers come in. Their main idea is to create separate browser profiles with their own settings. Depending on the specific tool, you can manage various environment characteristics, cookies, proxies, and other settings.
But we wouldn’t recommend treating anti-detection as a “guaranteed way to avoid any ban.”
If a profile looks unnatural or its settings conflict with each other, the very attempt to change the fingerprint can generate additional suspicious signals.
For example, the IP address might indicate one country, the time zone another, the browser language a third, and the device settings might not match the declared environment.
Therefore, what matters is not the maximum degree of fingerprint alteration, but the logic and consistency of the technical profile.
How Fingerprint Relates to Proxies
An IP address is not part of the fingerprint in the strict sense, but it is highly significant for the overall assessment of a user.
Consider a profile with a U.S. time zone and English language. If, at the same time, the connection consistently goes through an IP address from another country, a discrepancy arises.
The system may take such combinations into account when assessing risk.
Therefore, the technical infrastructure must be consistent: the browser, device, language, time zone, and network connection should not appear to be a random set of parameters.
Canvas and WebGL
Some of the most interesting fingerprinting components are Canvas and WebGL.
Canvas allows you to capture specific characteristics of how the browser renders images. WebGL, in turn, provides additional information about the device’s graphics environment.
In practice, this means that even two computers with the same operating system and browser can exhibit different technical characteristics.
This is precisely why a fingerprint cannot be reduced to the User-Agent.
Is it possible to make a fingerprint completely unique?
In practice, striving for maximum uniqueness isn’t always the right approach.
A profile that’s too rare may itself appear unusual. On the other hand, too many identical profiles can also create suspicious matches.
Therefore, the goal is not to make the fingerprint “invisible,” but to create a plausible technical environment.
This is especially important when working with a large number of advertising accounts and testing infrastructure.
How to Check Your Fingerprint
For basic diagnostics, there are special services that show which browser and device parameters are available to a website.
We recommend periodically checking these parameters before launching important advertising campaigns.
However, a fingerprint is just one source of data. Comprehensive analytics also utilize IP addresses, cookies, user behavior, and session data.
In this regard, it’s helpful to understand how trackers and TDS work in affiliate marketing, since they capture a much broader picture of visitor behavior.
Fingerprinting and Anti-Fraud
Modern anti-fraud systems operate comprehensively. They do not rely solely on fingerprinting.
They analyze action speed, navigation sequences, repetitive operations, device type, geolocation, IP address, payment data, and other signals.
