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Browser sniffing increases maintenance needed. Websites treating some browsers differently should provide an alternative version for other browsers. Use of user agent strings are error-prone because the developer must check for the appropriate part, such as "Gecko" instead of "Firefox". They must also ensure that future versions are supported.
The user agent for the operator of a computer used to access the Web has encoded within the rules that govern its behavior the knowledge of how to negotiate its half of a request-response transaction; the user agent thus plays the role of the client in a client–server system. Often considered useful in networks is the ability to identify and ...
On the Web, a user agent is a software agent responsible for retrieving and facilitating end-user interaction with Web content. [1] This includes all web browsers , such as Google Chrome and Safari , some email clients , standalone download managers like youtube-dl , and other command-line utilities like cURL .
Since then, User-Agent headers have become increasingly more complex, and has started containing significant uniquely identifiable information about the user. Often, this information is used to perform browser fingerprinting , allowing sites to track users across sites passively without having to load any JavaScript for the user.
Feature detection (also feature testing) is a technique used in web development for handling differences between runtime environments (typically web browsers or user agents), by programmatically testing for clues that the environment may or may not offer certain functionality.
Network eavesdropping, also known as eavesdropping attack, sniffing attack, or snooping attack, is a method that retrieves user information through the internet.This attack happens on electronic devices like computers and smartphones.
A device fingerprint or machine fingerprint is information collected about the software and hardware of a remote computing device for the purpose of identification. The information is usually assimilated into a brief identifier using a fingerprinting algorithm .
The threat model of history sniffing relies on the adversary being able to direct the victim to a malicious website entirely or partially under the adversary's control. The adversary can accomplish this by compromising a previously good web page, by phishing the user to a web page allowing the adversary to load arbitrary code, or by using a malicious advertisement on an otherwise safe web page.