Over the past two years, as anti-scraping, anti-cheating, and risk control systems have continued to evolve, browser fingerprint detection has become an unavoidable topic.
In particular, the Client Hints mechanism introduced by Google has significantly changed the way browser fingerprints are collected, yet many people are still not very familiar with it.
Today, we will take a closer look at Chrome, Safari, Edge, and Firefox—the four major mainstream browsers—to explain how Client Hints detection works and its real role in browser fingerprint creation.

Simply put, Client Hints are a set of device and environment information that browsers proactively expose to servers, designed to replace or supplement the traditional User-Agent.
Through Client Hints, websites can obtain:
• Operating system type and version
• CPU architecture (x86 / ARM)
• Device model (in some browsers)
• Browser brand and version
• Screen information and platform details
Once combined, this information is highly suitable for browser fingerprint creation.
Compared with the traditional User-Agent, Client Hints have the following characteristics:
• More structured information
• Controllable but less transparent
• Harder to tamper with through simple modifications
This is why many platforms now consider Client Hints detection an important part of their risk control systems.
Chrome is the primary driver behind Client Hints and offers the most comprehensive support.
In Chrome, high-entropy Client Hints can expose more detailed information, such as:
• Complete operating system version
• Exact browser version
• Device architecture
This is why browser fingerprint detection in Chrome environments is usually more accurate.
If you are involved in web scraping, automation, or multi-account operations, you must pay close attention to the consistency of Client Hints when using Chrome.
Edge is based on the Chromium engine, so its Client Hints behavior is very similar to Chrome.
The main differences are:
• Different browser brand identifiers
• Slight variations in system integration information
In Client Hints detection, Edge is not difficult to identify, and many platforms distinguish Edge from Chrome separately.
Firefox provides relatively conservative support for Client Hints and exposes less information by default. However, there are two important points to note:
• Firefox has its own fingerprinting system
• Some websites supplement fingerprint data via JavaScript
Therefore, even though Firefox exposes fewer Client Hints, the risk of browser fingerprint detection should not be ignored.
Safari adopts a relatively aggressive privacy strategy and provides very limited support for Client Hints.
However, the issue is that Safari’s platform, fonts, and WebKit characteristics are highly distinctive.
As a result, it is often easier to form stable fingerprints, allowing many risk control systems to quickly identify device types when encountering Safari fingerprints.
In real-world risk control scenarios, Client Hints are rarely used alone and are usually combined with the following data:
• Canvas fingerprints
• WebGL fingerprints
• Font fingerprints
• Time zone, language, and resolution
Client Hints provide basic hardware and system-level information. Once anomalies appear here, such as:
• The system reports Windows but returns an ARM architecture
• The Chrome version does not match the User-Agent
• An Edge environment exposing a Chrome brand
It becomes very easy to identify the environment as abnormal.
If you want to know what fingerprint information your current browser is exposing, it is recommended to use a professional tool.
For example, the ToDetect Fingerprint Detection Tool can show:
• Client Hints return values
• Browser fingerprint consistency
• Whether high-risk fields exist
For those engaged in account operations, advertising campaigns, or web scraping tests, this type of browser fingerprint detection tool is essentially indispensable.
Ultimately, Client Hints are not designed to “catch people,” but to verify the authenticity of an environment.
Many abnormal environments can be identified at a glance by risk control systems—for example, when Client Hints information does not match browser behavior. This is why more and more people use the ToDetect Fingerprint Detection Tool to perform a complete browser fingerprint check before deciding whether an environment is usable.
If you are building a more stable browser fingerprint environment, remember one simple principle: the closer it is to a real user, the safer the environment will be.