@Everyone, share a super practical Amazon seller must-have tool

Cross-border e-commerce sellers use cross-border fingerprint browsers to ensure transaction security, avoid account association risks, improve work efficiency, and facilitate multi-account management . However, many cross-border sellers are not very clear about what browser fingerprints are and what browser fingerprints are classified into.

What is browser fingerprinting?

Browser Fingerprinting is an online tracking technology that creates a unique "fingerprint" by collecting information about a user's browser and device. This "fingerprint" reflects a range of user attributes, such as browser type, version, installed plug-ins, operating system, screen resolution, supported fonts, installed fonts, language settings, time zone, screen color depth, etc. Since each person's device and configuration combination is often unique, this "fingerprint" can be used to identify and track users even if they are not logged into an account or do not use cookies.

Browser fingerprinting works based on the fact that:

Even if users use different usernames and passwords on different websites, or clear their cookies, their browser and device settings can still provide enough information to identify them. Websites can collect this information through technologies such as JavaScript, HTML5, WebGL, etc.

For example, JavaScript can be used to detect certain features and capabilities of a browser, HTML5's Canvas fingerprint is generated by analyzing a user's drawing behavior on a Canvas element, and WebGL can provide detailed information about a user's graphics processing capabilities.

What are the categories of browser fingerprints?

Browser fingerprinting can be categorized based on the type and complexity of information it collects. The main categories are:

Basic fingerprints usually include information such as the user's browser type, version, operating system, screen resolution, installed plug-ins, supported fonts, time zone, language settings, etc. These features are relatively easy to collect, but using these basic fingerprints alone is usually not enough to uniquely identify a user.

Advanced fingerprinting takes advantage of the advanced features of HTML5 and Web technologies to collect more detailed user information. These fingerprints typically include:

a. Canvas fingerprint: A fingerprint generated by analyzing the user's drawing behavior on the Canvas element.

b. WebGL fingerprint: Identify the user’s hardware and graphics processing capabilities based on the characteristics of the WebGL graphics rendering engine.

c. AudioContext fingerprint : A fingerprint generated by analyzing the user's audio processing capabilities.

d. WebRTC fingerprint: WebRTC is a technology that enables direct communication between web browsers. Its fingerprint can be generated by analyzing the user's network and device information.

Behavioral fingerprints are generated based on the behavioral patterns of users interacting with websites or applications, such as mouse movements, click speed, scrolling behavior, etc. These fingerprints can reveal users' habits and preferences, thereby helping to identify users.

Hardware fingerprinting focuses on the user's physical hardware attributes, such as CPU information, memory size, hard disk serial number, etc. This information is usually more difficult to collect, but can provide detailed information about the user's device.

Combined fingerprints are created by combining multiple types of fingerprint information, for example, combining a basic fingerprint with an advanced fingerprint to improve the accuracy and uniqueness of identification.

Browser fingerprints can collect a lot of personal information without the user's knowledge, so they may be used for improper tracking and data collection. For cross-border e-commerce sellers, the privacy security of the store is particularly important. In order to deal with this problem, users can take some measures to protect their privacy. For example, use a secure fingerprint browser - Niumai Browser.

NiuMai Browser

The functions of Niumai Browser are mainly reflected in the following aspects:

Fingerprint browser can create multiple independent browser profiles, each with its own unique cookies, local storage and other cache files. In this way, even if multiple accounts are used on the same computer, the data between them will not interfere with each other, thus effectively preventing the association between cross-border stores.

By isolating different browser profiles, Niumai Browser can help cross-border sellers protect their privacy. Sellers can conduct different network activities in different profiles to reduce the risk of personal information leakage.

Niumai Browser allows users to perform multiple independent network tasks at the same time, for example, logging into multiple stores on different cross-border platforms at the same time to operate them without causing conflicts between these services.

Fingerprint Browser is designed to combat online tracking techniques, especially browser fingerprinting. It reduces the risk of being tracked by simulating different browser hardware profiles.