How Much Do You Know About Browser Fingerprint? 12-16-2021, 03:30 AM
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1. What is browser fingerprint?
Browser fingerprinting refers to the technology to locate an Internet user precisely through various information of the browser, such as system fonts, screen resolution and browser extensions. It doesn’t need any other technology such as cookies. With browser fingerprint, anonymous activities become impossible even using the privacy window mode of the browser. That is to say, when you visit a certain website, then this website can recognize your identity. Although the web doesn’t know actually who you are, yet you have your own unique fingerprint which represents your identity. This information can pave the way for series of activities such as advertisement serving or any other marketing campaign that bases on users’ privacy.
2.How does browser fingerprint work?
Firstly, we need to learn a basic concept “Entropy”. Entropy is the average amount of information contained in each received message. The higher the information entropy, the more information can be transmitted. In the similar way, the lower the information entropy, the less information is transmitted.
Browser fingerprint is synthesized from many featured information of the browsers, and the information entropy of these featured information is quite different. Based on the difference, browser fingerprint can be divided into basic fingerprint and advanced fingerprint.
1)Basic Fingerprint:
Basic fingerprint can be easily detected and modified, such as the header of HTTP.
In addition to the fingerprint obtained in HTTP, there are also may other ways that depend the obtainment the characteristic information of the browser, such as:
2)Advanced Fingerprint:
Basic fingerprint is not enough to distinguish unique individuals. Advanced fingerprint is able to narrow the scope and generate a unique browser identity. All the information used to calculate the browser fingerprint can be ranged by their “weight” and the larger information entropy will have a larger weight.
According to some relevant studies: time zone, screen resolution, color depth, Canvas and webGL information entropy are much weighted in browser fingerprint.
3.How to avoid generating your browser fingerprint?
As a lot of websites use various technologies to "generate" users’ browser fingerprints in order to provide website users with more accurate recommendations which are in line with users' browsing habits, most users are anxious about their “privacy leakage”. So how do we prevent "user fingerprints" from being generated?
Although mix Canvas fingerprint or other fingerprint can solve this problem, yet the process of code setting is very complex and there are quite a lot of repetitive work. We also have some simple methods to prevent user fingerprints from being generated. For example, we can use some anti-detect fingerprint browser such as AdsPower fingerprint browser. It’s an effective anti-detect fingerprint browser that allows to create an isolated browser environment with browser fingerprint test passed.It mimics the authentic login environment and the browser profiles that run on Windows/MacOS can easily pass the test.
Browser fingerprinting refers to the technology to locate an Internet user precisely through various information of the browser, such as system fonts, screen resolution and browser extensions. It doesn’t need any other technology such as cookies. With browser fingerprint, anonymous activities become impossible even using the privacy window mode of the browser. That is to say, when you visit a certain website, then this website can recognize your identity. Although the web doesn’t know actually who you are, yet you have your own unique fingerprint which represents your identity. This information can pave the way for series of activities such as advertisement serving or any other marketing campaign that bases on users’ privacy.
2.How does browser fingerprint work?
Firstly, we need to learn a basic concept “Entropy”. Entropy is the average amount of information contained in each received message. The higher the information entropy, the more information can be transmitted. In the similar way, the lower the information entropy, the less information is transmitted.
Browser fingerprint is synthesized from many featured information of the browsers, and the information entropy of these featured information is quite different. Based on the difference, browser fingerprint can be divided into basic fingerprint and advanced fingerprint.
1)Basic Fingerprint:
Basic fingerprint can be easily detected and modified, such as the header of HTTP.
In addition to the fingerprint obtained in HTTP, there are also may other ways that depend the obtainment the characteristic information of the browser, such as:
- UA in each browser
- HTTP ACCEPT header sent by the browser
- Extensions installed in the browser. (Such as Quicktime, Flash, Java or Acrobat, and some other versions of these plugins)
- Fonts on the computer
- JavaScript in the browser
- Whether browser has installed cookies or super cookies
- Whether the browser has set as “Do Not Track”
- Whether touching screen is supported
- System platform (eg Win32, Linux x86)
- System language (e.g. CN, EN-US)
2)Advanced Fingerprint:
Basic fingerprint is not enough to distinguish unique individuals. Advanced fingerprint is able to narrow the scope and generate a unique browser identity. All the information used to calculate the browser fingerprint can be ranged by their “weight” and the larger information entropy will have a larger weight.
According to some relevant studies: time zone, screen resolution, color depth, Canvas and webGL information entropy are much weighted in browser fingerprint.
3.How to avoid generating your browser fingerprint?
As a lot of websites use various technologies to "generate" users’ browser fingerprints in order to provide website users with more accurate recommendations which are in line with users' browsing habits, most users are anxious about their “privacy leakage”. So how do we prevent "user fingerprints" from being generated?
Although mix Canvas fingerprint or other fingerprint can solve this problem, yet the process of code setting is very complex and there are quite a lot of repetitive work. We also have some simple methods to prevent user fingerprints from being generated. For example, we can use some anti-detect fingerprint browser such as AdsPower fingerprint browser. It’s an effective anti-detect fingerprint browser that allows to create an isolated browser environment with browser fingerprint test passed.It mimics the authentic login environment and the browser profiles that run on Windows/MacOS can easily pass the test.

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