What Are Browser Digital Fingerprints?

A digital fingerprint is a collection of technical parameters of the device and browser. The server gathers disparate system characteristics and unites them into a single profile.

Let's consider the key parameters that the device reveals on the network:

• User-Agent — a string that the browser transmits to the website upon connection. It contains information about the browser name and version (e.g., Chrome 146), as well as the operating system (e.g., Windows 11).

• Client Hints — a modern data transmission mechanism used instead of User-Agent. It allows websites to request additional device characteristics: processor architecture (x86 or ARM), RAM volume, and smartphone model.

• Screen resolution and color depth — the site receives display parameters, including resolution (e.g., 1920×1080) and color depth (e.g., 24 bits).

• Timezone and language — data about system time and interface language. Used to compare device settings with other connection parameters.

• Canvas Fingerprinting — a tracking method in which the site requests the rendering of a hidden image. The rendering result differs depending on the device. The obtained data is transformed into a unique identifier.

• WebGL Fingerprinting — the technology works similarly to Canvas but analyzes the peculiarities of complex 3D graphics rendering. This method gives the website precise information about the manufacturer and model of your video card.

• AudioContext API — the site asks the browser to mathematically generate and process a test audio signal. You won't hear anything from the speakers, but due to hardware differences in sound cards, the mathematical result of this processing will always be unique for different devices.

Installed system fonts — sites can determine which fonts are available in the system. Non-standard sets increase profile uniqueness and simplify user identification.

The digital fingerprint is formed through standard browser mechanisms. The site receives technical device parameters within the ordinary page loading process.

For the interface, graphics, and scripts to work, the browser exchanges data with the site via Web API. Through it, the site obtains system characteristics.

The collection process looks like this:

1. Page loading. The user opens a site or follows a link.

2. Script launch. JavaScript scripts load along with the content.

3. Parameter polling. Scripts access the Web API and obtain system data: fonts, graphics, sound, and other characteristics.

4. Result transmission. The browser executes requests and returns values.

5. Identifier formation. The set of parameters is processed and converted into a unique string — an identifier.

6. Storage. The identifier is sent to the server and used for user recognition.

The entire process takes fractions of a second and occurs automatically.

A single technical parameter by itself doesn't allow precise user identification: the same browser, operating system, or screen resolution occurs among millions of people and doesn't provide uniqueness.

Identification is built on the combination of characteristics. The system gathers a set of device and browser parameters and unites them into a single profile. The more parameters considered, the higher the accuracy. Each new characteristic narrows the number of matches until a practically unique combination is formed.

A complete match of such a set among different users is practically never encountered. Even with identical basic characteristics, differences manifest at the detail level — that is, in drivers, hardware, system settings, and browser behavior.

In practice, this is used for identification and session linking. Upon re-entry, the system compares the current set of parameters with already saved profiles and determines whether it belongs to a known user, regardless of IP address or cleared history.

Fingerprints and cookies are tracking mechanisms that work on different principles.

Cookies are a technology for saving data on the user's device. The site writes a small file into the browser, which is used for subsequent recognition. During the first visit, the browser is assigned an identifier. Upon re-entry, it transmits this identifier back, and the site understands that this is the same user.

Fingerprinting is an identification method without saving data on the device. The system analyzes device and browser parameters at the moment of visit and forms a unique profile based on them. During each entry, the site reads device characteristics, compares them with known profiles, and determines the user by parameter matches.

Fingerprinting is not linked to data storage in the browser and is not disabled by standard clearing settings.

• Deletion doesn't solve the problem. Cookies can be cleared manually or automatically, but device parameters remain unchanged and continue to be used for identification.

• Collection occurs in the background. Obtaining technical characteristics is performed automatically during page loading and doesn't require separate user action.

• Restrictions affect site functionality. Transmitting some data is necessary for correct page loading. With strict restrictions, site functionality may be disrupted.

This approach makes the digital fingerprint a more resilient identification tool compared to cookies.

Most users make a critical mistake when trying to protect themselves from tracking with basic tools. The problem is that against fingerprinting — the process of collecting fingerprints — popular protection methods are absolutely powerless:

• Incognito Mode. Doesn't save history and local data in the browser. At the same time, technical device parameters continue to be transmitted to sites without changes.

• VPN Services. Encrypt traffic and change the IP address but don't affect device and browser parameters. With setting mismatches (for example, when the IP belongs to one country, but the system language and timezone belong to another), the system records discrepancies and considers them in analysis.

• Script Blockers (NoScript). Disabling JavaScript does indeed interrupt fingerprint collection, but completely breaks the modern internet. Without scripts, 95% of sites simply won't load.

Anonymity on the network is largely linked to managing the digital fingerprint. In their work, device profiles with different parameters are used, which look like ordinary user environments. For this, secure browsers are used, for example, Noid.

Unlike ordinary solutions with a dozen anonymity plugins, Noid works at the core level and solves all anonymity issues:

• Isolated profiles. You can create dozens and hundreds of working environments in one window. Each profile has its own history, cookies, and cache and doesn't intersect with others.

• Mathematically correct substitution. Noid generates absolutely new fingerprints for each profile. It skillfully substitutes Canvas, WebGL, system fonts, Client Hints, and User-Agent.

• Realism. Parameters are formed based on real device configurations. Screen resolution, hardware characteristics, and operating system are coordinated with each other.

• Simple interface. Unlike expensive and complex antidetect browsers, here a new profile with correct settings can be created with one click.

Each profile in Noid is determined by systems as a separate device with its own characteristics. This allows safe surfing on the internet and managing several accounts without data intersection between them.