How to Avoid Detection by Font Fingerprinting in Multi-Accounting: Protection in Dolphin Anty and AdsPower

Font Fingerprinting is a technology for tracking users based on the unique set of fonts installed in the operating system. For arbitrage specialists, SMM professionals, and anyone working with multiple accounts, this is one of the most dangerous threats: even when changing IP addresses and other browser parameters, platforms like Facebook Ads, Instagram, and TikTok can link your accounts through the same set of fonts. In this guide, we will explore how this technology works and how to protect against it using anti-detect browsers and proper proxy settings.

According to statistics, Font Fingerprinting is used in 87% of modern anti-fraud systems, including Facebook Business Suite, Google Ads, and TikTok Ads Manager. Ignoring this parameter leads to chain bans — when the blocking of one account results in the banning of all associated profiles.

What is Font Fingerprinting and why is it critical for multi-accounting

Font Fingerprinting is a method of digital fingerprinting based on analyzing the list of fonts available in the user's system. Each operating system comes with a specific set of pre-installed fonts, and users additionally install fonts for working with graphic editors, office applications, or simply for personalizing the system.

The problem is that the combination of installed fonts creates a unique identifier that remains unchanged even when using VPNs, proxies, or clearing cookies. For example, if your computer has Adobe Creative Cloud fonts, Cyrillic Pro, Montserrat, and another 150 specific fonts installed — this set becomes your digital signature.

Statistics show that Font Fingerprinting provides identification accuracy of up to 94% — higher than many other fingerprinting methods. For comparison: Canvas Fingerprinting gives an accuracy of about 89%, and WebGL Fingerprinting — 92%. The combination of all methods creates a practically unique fingerprint for each user.

Why is this critical for multi-accounting

When you work with a single account, Font Fingerprinting simply identifies you as a user. But in multi-accounting, the situation changes: platforms see that several supposedly different users have an absolutely identical set of fonts. This is a red flag for anti-fraud systems.

Imagine: you created 20 profiles in Dolphin Anty, set different User-Agents, Canvas, WebGL, purchased quality residential proxies for each account. But you forgot about the fonts. All 20 profiles will show the same list of 237 fonts, including specific "Bebas Neue", "Raleway ExtraBold", and "PT Sans Narrow". For Facebook, this is an obvious link between accounts.

How font detection works: technical details

The Font Fingerprinting technology is based on the JavaScript API that allows websites to determine which fonts are available in the user's browser. There are several methods for collecting this information, and modern platforms use a combination of all available techniques.

Method 1: CSS Font Matching

The most common method. The script creates an invisible HTML element and tries to apply various fonts to it. If the font is installed on the system, the element's dimensions will change in a specific way. By checking hundreds of fonts, the system compiles a complete list of available fonts.

The process looks like this: the script creates text with a basic font (for example, Arial), measures its width and height, then applies the tested font and measures again. If the dimensions changed — the font is present in the system. This process is repeated for a list of 500-1000 of the most popular fonts.

Method 2: Canvas-based Font Detection

A more advanced method that uses the Canvas API. The script draws text in different fonts on an invisible canvas and analyzes the resulting image. Each font creates a unique pixel pattern that can be identified.

This method is harder to deceive because it operates at a lower level and can detect even minimal differences in font rendering. Facebook Ads actively uses this approach in its detection system.

Method 3: Flash Font Enumeration

An outdated but still encountered method. Adobe Flash Player had direct access to the list of system fonts. Although Flash is practically dead in 2024, some older anti-fraud systems still attempt to use this method as an additional verification parameter.

Real risks for arbitrage specialists and SMM professionals

Font Fingerprinting creates specific risks for different categories of specialists working with multi-accounting. Let's consider specific scenarios and financial consequences.

Risks for traffic arbitrage specialists

Arbitrage specialists typically work with 10-50 advertising accounts simultaneously, distributing risks and testing different creatives. A chain ban due to Font Fingerprinting can wipe out an entire farm of accounts in a single day.

A real case: a team of arbitrage specialists from Moscow lost 23 Facebook Ads accounts totaling $47,000 (balances + spent on warming up) due to identical Font Fingerprints. The reason — all accounts were farmed from one office computer where Photoshop was installed with the full set of Adobe fonts.

Risks for SMM agencies and specialists

SMM specialists manage client accounts on Instagram, TikTok, VK, and other social networks. Losing access to a client's account not only results in financial losses but also poses reputational risks.

Instagram and TikTok use Font Fingerprinting to detect mass following, auto-posting, and other forms of automation. If you manage 30 client accounts through one computer with identical fonts, the platform may consider this a botnet and block all profiles.

Risks for e-commerce and scraping

Sellers on marketplaces use multi-accounting to expand their assortment and bypass platform limits. Wildberries, Ozon, and Yandex.Market actively combat this practice, including using Font Fingerprinting.

Price scrapers and analysts also fall under detection. If you collect data from marketplaces through several profiles, the same set of fonts will reveal automation. The result — IP blocking, captcha on all requests, and sometimes legal claims from the platforms.

Protection through anti-detect browsers: Dolphin Anty, AdsPower, GoLogin

Anti-detect browsers are the main tool for protection against Font Fingerprinting. They allow you to create isolated profiles with unique sets of fonts for each account. Let's explore the capabilities of popular solutions.

Dolphin Anty — Font Fingerprinting setup

Dolphin Anty offers three modes for working with fonts: Real (uses real system fonts), Noise (adds noise to the font list), and Off (completely masks the font list). For multi-accounting, the Noise mode is recommended — it creates a unique set of fonts for each profile while appearing natural to anti-fraud systems.

Dolphin automatically generates a list of 40-80 fonts for each profile, combining popular system fonts (Arial, Times New Roman, Verdana) with a random set of additional fonts. Important: font lists are saved in the profile, so when restarting the account, the Font Fingerprint remains stable — this is critical for passing platform checks.

AdsPower — advanced font settings

AdsPower provides more control over Font Fingerprinting. In addition to automatic modes, you can manually specify a list of fonts for each profile. This is useful when you need to emulate a specific operating system or region.

For example, for Facebook Ads accounts operating in the USA, you can set a typical set of Windows 10 Pro fonts: Calibri, Cambria, Candara, Consolas, Constantia, Corbel, plus popular web fonts like Roboto and Open Sans. For European geos, specific fonts with diacritic support are added.

GoLogin — cloud profiles and font synchronization

GoLogin uses cloud storage for profiles, allowing you to work with one account from different devices without changing the Font Fingerprint. This is convenient for teams: one specialist creates a profile with configured fonts, and others use it without the risk of parameter desynchronization.

GoLogin also offers Font Fingerprint templates for different scenarios: "Generic Windows User" (60-70 standard fonts), "Mac User" (macOS fonts), "Linux User" (Ubuntu/Debian fonts), "Designer" (extended set with professional fonts). The choice of template depends on what type of user you are emulating.

Step-by-step protection setup in Dolphin Anty

Dolphin Anty is the most popular anti-detect browser among arbitrage specialists in Russia and the CIS. Let's go through the detailed setup of Font Fingerprinting for maximum protection against detection.

Step 1: Create a new profile

Open Dolphin Anty → click "Create Profile" → select the platform (Facebook, Google, TikTok, or Universal). For each platform, Dolphin automatically selects optimal fingerprint settings, including fonts.

In the "Profile Name" field, enter a clear name, such as "FB Ads USA Account 1". This is important for managing a large number of profiles — you should immediately understand which account is used for what.

Step 2: Configure Font Fingerprinting

Go to the "Fingerprint" tab → find the "Fonts" section → select the "Noise" mode. This mode creates a unique set of fonts for the profile, while the list appears natural — like a real Windows or macOS user.

Step 3: Link proxy to the profile

Font Fingerprinting works in conjunction with other browser parameters, and the proxy is one of the key elements of protection. In the "Proxy" tab, enter your proxy server details: type (HTTP/HTTPS/SOCKS5), IP address, port, username, and password.

For working with Facebook Ads and Google Ads, it is recommended to use residential proxies — they have IPs of real home users, which reduces the risk of detection. For Instagram and TikTok, mobile proxies are often chosen mobile proxies, as most users of these platforms access them from smartphones.

Important: each profile must have a unique proxy. Using one IP for multiple accounts nullifies all protection against Font Fingerprinting — platforms will still link profiles by the common IP address.

Step 4: Additional fingerprint settings

In addition to fonts, configure other fingerprint parameters for maximum protection:

• Canvas — set to "Noise". Canvas Fingerprinting analyzes graphic rendering, and unique noise makes each profile distinguishable.
• WebGL — also "Noise". The WebGL fingerprint depends on the graphics card and drivers, noise creates uniqueness.
• Audio Context — "Noise". Audio fingerprinting is less common, but Facebook uses it.
• Geolocation — specify coordinates that correspond to your proxy. If the proxy is from New York, the geolocation should also be from New York.
• Timezone — automatically determined by the proxy IP, but check for compliance.
• Language — for the USA, choose "en-US", for the UK "en-GB", and so on.

Step 5: Check the profile before use

Before launching ads or logging into the account, be sure to check the profile on special services. Click "Launch Profile" → open pixelscan.net or browserleaks.com → check the "Fonts" section.

You should see a unique list of fonts that differs from your real system. If the service shows the same fonts that are installed on your computer — the setup was done incorrectly, go back to step 2 and select the "Noise" mode.

Setting up Font Fingerprinting in AdsPower

AdsPower offers more flexible Font Fingerprinting settings compared to Dolphin Anty. This makes it popular among advanced arbitrage specialists and teams that need detailed control over each parameter.

Automatic mode (recommended for beginners)

When creating a profile, select "Quick Settings" → specify the operating system (Windows/macOS/Linux) → AdsPower will automatically generate a typical set of fonts for the chosen OS. For example, for Windows 10, this will be a list of 65-75 fonts, including system fonts (Segoe UI, Calibri, Arial) and popular web fonts.

The automatic mode is suitable for most tasks: farming Facebook Ads accounts, working with Instagram, scraping marketplaces. AdsPower uses a database of real Font Fingerprints collected from millions of devices, so the generated profiles look as natural as possible.

Manual font list setup

For advanced scenarios, AdsPower allows you to manually specify a list of fonts. Go to "Advanced Settings" → "Fingerprint" → "Fonts" → select "Custom" → a text field will open where you can paste the font list (one per line).

When is this needed? For example, you are working with Facebook Ads in a specific geo — South Korea. Korean users have installed fonts for the Korean language: Malgun Gothic, Batang, Dotum, Gulim. Adding these fonts to the profile increases credibility — Facebook sees that the user is indeed from Korea.

Font synchronization with User-Agent and platform

A critically important point: the font list must correspond to the operating system specified in the User-Agent. If the User-Agent says "Windows 10", but the font list contains San Francisco and Helvetica Neue (macOS fonts) — this is a red flag for anti-fraud systems.

AdsPower automatically checks for compliance and issues a warning in case of a mismatch. Pay attention to these notifications — they help avoid silly mistakes that lead to bans.

Importing and exporting profiles with font settings

AdsPower allows you to export profile settings to a JSON file, including the font list. This is convenient for scaling: you create one reference profile with ideal settings, export it, then import it 50 times, each time slightly changing the parameters (proxy, cookies, fonts).

For teamwork, you can create a library of profile templates: "USA Windows 10", "UK macOS", "Germany Linux", "Korea Mobile" — and distribute them to employees. This ensures uniformity of settings and reduces the risk of errors.

The role of proxies in protection against font detection

It may seem that Font Fingerprinting and proxies are independent parameters. In fact, they are closely related, and the right choice of proxy enhances protection against detection.

How proxies affect Font Fingerprinting

Anti-fraud systems analyze not only the Font Fingerprint itself but also its compliance with other parameters: IP address, geolocation, browser language, and time zone. If the Font Fingerprint shows a typical set of fonts for the USA (with English and Latin fonts), but the IP address is from Russia — this inconsistency will raise suspicions.

The correct combination: residential proxy from the USA + Font Fingerprint with American fonts + User-Agent Windows 10 en-US + timezone America/New_York. Everything should fit into a single picture of a real user from a specific region.

Residential vs mobile proxies for multi-accounting

For working with Facebook Ads, Google Ads, and other advertising platforms, residential proxies are more often used — they have IPs of real home users, making them virtually indistinguishable from regular traffic. Combined with a properly configured Font Fingerprint, residential proxies provide maximum protection.

Mobile proxies are preferred for Instagram, TikTok, Telegram — platforms where most users access from smartphones. An important nuance: when using a mobile proxy, the Font Fingerprint must emulate a mobile device (Android or iOS), not a desktop. The list of fonts for Android and iOS differs from Windows/macOS.

Proxy rotation and Font Fingerprint stability

Some arbitrage specialists use proxy rotation — automatically changing the IP address every N minutes or requests. This reduces the risk of IP blocking but creates a problem with Font Fingerprinting.

If the IP changes while the Font Fingerprint remains the same — the platform sees that "the user moved to another city, but the set of fonts did not change." This is atypical for real people: usually, when changing devices or reinstalling the system, the list of fonts also changes.

Recommendation: use a static proxy (sticky session) for each account — the IP remains unchanged during the session or even for days. This creates a stable link "IP + Font Fingerprint + other parameters," which appears natural for anti-fraud systems.

Common mistakes that lead to detection

Even experienced arbitrage specialists and SMM professionals make mistakes in configuring Font Fingerprinting. Let's discuss the most common problems and how to avoid them.

Mistake 1: Identical Font Fingerprint for all profiles

The most common mistake is to create one profile in Dolphin Anty, carefully configure all parameters, then copy it 20 times, changing only the proxy. As a result, all 20 accounts have absolutely identical Font Fingerprints.

Solution: use the "Noise" or "Random" mode when creating each new profile. Even if profiles are created based on a template, the anti-detect browser should generate a unique set of fonts for each. In AdsPower, there is a "Randomize fingerprint on copy" feature — enable it when duplicating profiles.

Mistake 2: Font mismatch with the operating system

Example: User-Agent shows "Windows 10", but the font list includes SF Pro Display, SF Compact Display, Helvetica Neue — these are macOS fonts. For anti-fraud systems, this is a clear sign of parameter substitution.

Solution: always check the compliance of fonts and the operating system. Most anti-detect browsers do this automatically, but it is easy to make a mistake during manual setup. Use ready-made font templates for specific OS.

Mistake 3: Too many or too few fonts

An average Windows 10 user has 60-120 fonts. If your profile shows 15 fonts — this is suspiciously low. If 350 fonts — this is characteristic of a designer or developer, but not for an average Facebook user.

Solution: stick to a natural range of 50-100 fonts for regular users. If emulating a professional (for example, for working with Behance or Dribbble), you can increase it to 150-200, but add specific fonts: Futura, Gotham, Proxima Nova, and others popular in design.

Mistake 4: Using "Off" mode without understanding the consequences

Some users think: "If I completely hide font information, the platform won't be able to track me." In practice, the "Off" mode (when the browser returns an empty font list) is an anomaly in itself.

Regular users always have fonts — this is a basic part of the operating system. The absence of fonts indicates that the browser has been modified to bypass detection, which attracts even more attention from anti-fraud systems.

Solution: use "Off" mode only in specific cases when other methods do not work. For regular multi-accounting, always choose "Noise" or "Random".

Mistake 5: Ignoring operating system updates

Microsoft and Apple regularly add new fonts in updates for Windows and macOS. If your Font Fingerprint emulates Windows 10 but does not include fonts added in the 2023 update, and the User-Agent shows a fresh OS version — this is a mismatch.

Solution: use anti-detect browsers that regularly update their Font Fingerprint databases. Dolphin Anty, AdsPower, and GoLogin automatically add new fonts to their generators after OS updates are released.

How to check the effectiveness of protection: testing tools

Setting up Font Fingerprinting is only half the battle. It is essential to check that the protection works correctly before using the profile for real accounts.

PixelScan.net — comprehensive fingerprint check

PixelScan is one of the most popular services for checking browser fingerprints. Launch the profile in the anti-detect browser → open pixelscan.net → the service will analyze all parameters, including Font Fingerprinting.

Pay attention to the "Fonts" section. PixelScan will show a list of detected fonts and other parameters.