How to Bypass Behavioral Biometrics in Multi-Accounting: Proxies + Anti-Detect Browsers

Have you set up proxies, used an anti-detect browser, but your accounts still get banned? Most likely, the platform uses behavioral biometrics — a technology that analyzes user behavior. It tracks not only the IP and browser fingerprint but also HOW you move the mouse, type text, and scroll the page. Even if the technical parameters are perfect, the system can identify you based on behavioral patterns.

In this article, we explore how behavioral biometrics works, which platforms use it, and most importantly — how arbitrageurs, SMM specialists, and marketplace sellers can bypass this protection using the right combination of proxies and anti-detect browsers.

What is Behavioral Biometrics and How Does It Work

Behavioral biometrics is a technology for identifying users based on unique patterns of their behavior when interacting with a device. While a regular browser fingerprint analyzes technical characteristics (screen resolution, fonts, WebGL), behavioral biometrics studies the dynamics of your actions.

Imagine: two people enter the same password on identical keyboards. One types quickly with even intervals between keystrokes, while the other types slowly with pauses. The system remembers these patterns and creates a unique "behavioral fingerprint." Upon the next login, it checks whether the typing style matches previous sessions.

The technology operates on the basis of machine learning. The system collects data on user behavior over several sessions, builds a model of "normal" behavior, and then compares each new session with this model. Deviations raise suspicions: either it's a different person or a bot.

The main components of behavioral biometrics include:

• Keyboard Dynamics — typing speed, intervals between keystrokes, key hold time, error and correction frequency
• Mouse Dynamics — cursor movement trajectory, speed of movement, acceleration and deceleration, click patterns
• Touch Patterns (on mobile devices) — pressure strength, contact area of the finger, swipe speed
• Website Navigation — sequence of page transitions, time spent on each page, scroll depth
• Temporal Patterns — what time of day the user operates, how long sessions last, intervals between logins

Which Platforms Use Behavioral Biometrics

Behavioral biometrics is actively implemented on platforms where there is a high risk of fraud, bots, and multi-accounting. Here are the main categories of services that definitely use this technology:

Facebook and Google use behavioral biometrics particularly aggressively. They have a long-standing database of behavioral patterns from billions of users. When you create a new account and start working through an anti-detect browser, the system compares your behavior with the "normal" behavior of regular users. Any anomalies are grounds for verification.

What Exactly Is Tracked: 15+ Behavioral Parameters

Let's break down the specific parameters collected by behavioral biometrics systems. Understanding this will help set up effective protection.

Keyboard Dynamics

• Typing Speed (WPM — words per minute) — how many words you type per minute. Each person has a stable speed: some type at 40 WPM, others at 80 WPM
• Intervals Between Keystrokes — the time between releasing one key and pressing the next. This is a unique pattern like a fingerprint
• Key Hold Time — how long you hold a key down before releasing it
• Typing Rhythm — whether you type evenly or with pauses (for example, thinking about words)
• Error Frequency — how often you press Backspace to correct typos
• Use of Hotkeys — whether you use Ctrl+C/Ctrl+V, Ctrl+A, and other combinations

Mouse Dynamics

• Cursor Movement Trajectory — whether you move the mouse in a straight line or in arcs, if there is micro-jitter
• Speed of Movement — how quickly the cursor moves between points
• Acceleration and Deceleration — whether you smoothly accelerate the cursor or jerk the mouse abruptly
• Click Patterns — how quickly you click, if there are double clicks, how long you hold the button
• Missed Clicks — whether you sometimes miss the button and adjust the cursor position
• Use of Scroll Wheel — how you scroll the page: smoothly or in jerks, at what speed

Mobile Device Behavior

• Pressure on the Screen — modern smartphones measure finger pressure (3D Touch / Force Touch)
• Touch Area — the size of the area of contact between the finger and the screen (depends on finger size and angle)
• Swipe Speed — how quickly you swipe while scrolling
• Device Holding Pattern — the angle of the phone while in use (data from the gyroscope and accelerometer)

Navigation Behavior

• Sequence of Actions — the order in which you navigate through sections of the site
• Time on Page — how many seconds you spend on each page before transitioning
• Scroll Depth — whether you scroll to the end of the page or only read the beginning
• Pauses While Reading — whether you stop at certain blocks of text (the system tracks cursor stillness)
• Use of Search — how you formulate queries, whether you correct typos

Why Proxies Alone Are Not Enough to Bypass

Many newcomers to arbitrage and multi-accounting think that simply buying quality proxies is enough to keep accounts safe. This was true 5-7 years ago when platforms only checked IP addresses and basic browser fingerprints. The situation has changed dramatically now.

Proxies solve only one task — they replace your IP address and geolocation. Even the highest quality residential proxies with real IPs from home users do not protect against behavior analysis. The system sees that requests come from a legitimate IP, but the user's behavior is anomalous.

Here’s what proxies DO NOT hide:

• Browser Fingerprint — unique characteristics of your browser and operating system (screen resolution, installed fonts, WebGL, Canvas). If you work with multiple accounts from one browser through different proxies — the fingerprint will be the same
• Cookies and Local Storage — data that websites save in the browser. If you do not clear them between accounts — the platform links profiles
• Behavioral Patterns — how you move the mouse, type, click. This is your unique "handwriting" that does not depend on IP
• Temporal Patterns — if you log into different accounts sequentially with a 2-3 minute interval — the system sees a correlation

A real case from practice: an arbitrageur bought a pool of 50 quality residential proxies, set them up in regular Chrome through an extension. He created 50 Facebook accounts, each with its own IP from different cities. After 2 weeks, all accounts were banned. The reason: the same browser fingerprint (all accounts operated from one Chrome) + identical behavioral patterns (one person managed all profiles with the same manner of operation).

Conclusion: proxies are a necessary but insufficient element of protection. To bypass behavioral biometrics, a comprehensive set of tools is needed.

How Anti-Detect Browsers Help Simulate Behavior

Anti-detect browsers are specialized programs that create isolated browser profiles with unique fingerprints. Each profile looks like a separate user with a unique device. Modern anti-detects have learned not only to replace technical parameters but also to assist in simulating human behavior.

Capabilities of Top Anti-Detect Browsers

Let's consider the features available in Dolphin Anty, AdsPower, Multilogin, and other professional solutions:

• Unique Fingerprint for Each Profile — screen resolution, time zone, system language, installed fonts, WebGL, Canvas, AudioContext, and over 50+ parameters are individually configured
• Built-in Proxy Integration — you can link your proxy to the profile, and the browser will automatically check the IP and geolocation compliance in the fingerprint
• Cookie and Cache Isolation — each profile stores its data separately, no mixing
• Emulation of Real Devices — you can configure the profile to look like a specific model of smartphone or laptop
• Human-like Cursor Behavior — some anti-detects (e.g., Dolphin Anty) add random micro-movements of the cursor to simulate hand tremors
• Timing Randomization — delays between actions vary randomly

Comparison of Popular Anti-Detect Browsers

It is important to understand: an anti-detect browser alone does NOT make your behavior human-like. It only creates the technical conditions for it. If you perform identical actions with robotic precision in Dolphin Anty — the system will still detect you.

Manual Work vs Automation: Which Is Safer

One of the main questions when working with multi-accounting: should everything be done manually or should automation be used? From the perspective of bypassing behavioral biometrics, the answer is not straightforward.

Manual Work

Pros:

• Natural human behavior — you move the mouse like an ordinary user, with misses and corrections
• Unique patterns for each account — you do not repeat actions with robotic precision
• Flexibility — you can adapt to changes in the platform's interface
• Minimal risk of behavioral bans

Cons:

• Not scalable — it is physically impossible to manage 100+ accounts manually
• Takes a lot of time — each account requires 10-30 minutes daily
• Human factor — you might forget to log into an account or confuse profiles
• Burnout — monotonous work with dozens of accounts is exhausting

Automation through Scripts/Bots

Pros:

• Scalability — you can manage hundreds of accounts
• Time-saving — the script works 24/7 without your involvement
• Accuracy — it won't forget to perform scheduled actions
• Cost-effectiveness — with a large number of accounts, automation is more profitable

Cons:

• High risk of detection — a poorly written script reveals itself through robotic behavior
• Requires technical knowledge — you need to know how to write or configure scripts
• Fragility — if the platform's interface changes, the script breaks
• Risk of mass bans — if the system detects the pattern, it may ban all accounts at once

Hybrid Approach (Recommended)

The optimal strategy is to combine manual work and smart automation:

• Perform critical actions manually — create accounts, initial settings, and launch ad campaigns by hand
• Automate routine actions — collecting statistics, monitoring, and simple clicks can be entrusted to scripts
• Use "human-like" automation tools — not simple Selenium scripts, but specialized solutions with behavior emulation (e.g., Puppeteer Extra with the StealthPlugin, or built-in RPA tools in AdsPower)
• Add randomization — even in automated actions, incorporate random delays and different sequences of clicks

Step-by-Step Setup to Protect Against Behavioral Biometrics

Now let's put everything together into a single system. Here’s a step-by-step guide on how to set up maximum protection against behavioral biometrics.

Step 1: Choosing and Setting Up Proxies

The first element of protection is quality proxies. The choice of type depends on the task:

• For Facebook Ads, Google Ads, TikTok Ads: use mobile proxies — they have IPs from mobile operators, which advertising platforms trust the most. An alternative is residential proxies, but they must be static (not rotating)
• For Instagram, TikTok, social networks: mobile proxies with timer rotation (IP changes every 10-30 minutes, simulating user movement)
• For marketplaces (Wildberries, Ozon, Amazon): residential proxies from the required region (if selling in Moscow — take Moscow IPs)
• For mass scraping: you can use data center proxies, but with rotation and request limits

What to Set Up:

1. Check that the proxy IP matches the declared geolocation (use IP checking services)
2. Ensure that the proxies are not on blacklists (check on whoer.net or 2ip.ru)
3. Assign a separate IP for each account — do not use one proxy for multiple profiles
4. Record the proxy data: IP:PORT:LOGIN:PASSWORD — you will need them for the anti-detect browser

Step 2: Installing and Setting Up the Anti-Detect Browser

For example, let's take Dolphin Anty — it is free for up to 10 profiles and popular among arbitrageurs.

1. Download and install Dolphin Anty from the official website
2. Create a new profile: click "Create Profile" → specify a name (for example "FB_Ads_Account_1")
3. Set up the fingerprint:
   • Operating System: choose Windows or macOS (preferably the one used in the target region)
   • User Agent: leave "Real" — the browser will insert the current UA
   • Screen Resolution: choose a popular one (1920x1080 for desktop, 390x844 for mobile)
   • Browser Language: should match the proxy's geolocation (ru-RU for Russia, en-US for the USA)
   • Time Zone: automatically set by the proxy IP
   • WebRTC: disable or mask (to prevent leaking the real IP)
4. Link the proxy:
   • Type: choose HTTP/HTTPS or SOCKS5 (depends on your proxy)
   • Enter the data: IP, port, login, password
   • Click "Check Proxy" — it should show a green status and correct geolocation
5. Save the profile

Repeat the process for each account. Important: each profile must have a unique fingerprint — do not copy settings, let the browser generate them automatically.

Step 3: Warming Up Accounts

New accounts cannot be immediately burdened with commercial activity — this is a red flag for protection systems. Warming up is necessary:

1. Day 1-3: Simply log into the account, scroll the feed, like posts, read articles. Imitate a regular user. Session time: 10-20 minutes
2. Day 4-7: Add activity — follow pages, comment on posts, fill out the profile. Session time: 15-30 minutes
3. Day 8-14: Gradually start commercial activity. For advertising: create the first campaign with a minimal budget. For SMM: start posting content
4. After 2 weeks: The account is "warmed up," and you can operate at full capacity

Important during warming up: do not perform identical actions across all accounts. One day log in the morning, another — in the evening. In one account, like 5 posts, in another — 12. Variety is the key to success.

Step 4: Simulating Human Behavior

Even after warming up, you need to constantly monitor behavior. Here’s a checklist for safe operation:

• Move the mouse naturally: not in straight lines, with slight deviations and corrections
• Take breaks: after clicking, wait 1-3 seconds before the next action (not robotic 0.5 seconds)
• Scroll like a human: not to the end of the page at once, but in parts with stops
• Sometimes miss clicks: click slightly off the button, then adjust the cursor
• Read content: if you open an article — linger on it for at least 10-15 seconds, do not close it immediately
• Use hotkeys: sometimes copy text via Ctrl+C, not just with the mouse
• Vary session times: today 15 minutes, tomorrow 25, the day after tomorrow 10

Step 5: Staggering Account Usage

Do not work with all accounts consecutively. Create a schedule:

• Accounts 1-5: work in the morning (9:00-11:00)
• Accounts 6-10: work in the afternoon (14:00-16:00)
• Accounts 11-15: work in the evening (19:00-21:00)

This creates the impression that different people with different daily routines are behind the accounts.

Common Mistakes That Reveal Multi-Account Users

Even with the correct setup of proxies and anti-detect browsers, accounts can be leaked due to behavioral errors. Here are the top 10 mistakes made by beginners:

1. Identical Sequence of Actions

You log into each account and perform actions in the same order: click on the menu → settings → advertising → create campaign. The system sees that 10 different "users" are doing the same thing.

Solution: change the sequence. In one account, first check the statistics, then create a campaign. In another — go straight to settings.

2. Robotic Intervals Between Actions

Exactly 2 seconds between each click — this is not a human, this is a script.

Solution: vary delays from 1 to 5 seconds randomly.

3. Switching Between Accounts Without Breaks

Closed profile 1 → opened profile 2 after 10 seconds. The system sees a time correlation.

Solution: take breaks of at least 15-30 minutes between profiles. Or work with accounts at different times of the day.

4. Identical Creatives and Texts

You upload the same image and ad text to all accounts. The platform sees duplicate content.

Solution: use different images and texts for each account.

5. Identical Login Times — logging into all accounts at the same time of day raises suspicion.

Solution: stagger login times across accounts.

6. Using the Same Device — if all accounts are accessed from the same device, it can be detected.

Solution: use different devices or profiles for each account.

7. Lack of Activity Variation — performing the same actions repeatedly can signal automation.

Solution: vary the types of activities performed on each account.

8. Not Clearing Cookies — if cookies are not cleared between accounts, they can be linked.

Solution: clear cookies and local storage between sessions.

9. Ignoring Platform Updates — failing to adapt to changes in the platform can lead to bans.

Solution: stay updated on platform changes and adjust your strategies accordingly.

10. Overlooking User Behavior Patterns — not understanding how behavioral biometrics works can lead to mistakes.

Solution: educate yourself on behavioral biometrics to avoid common pitfalls.

Conclusion

Bypassing behavioral biometrics requires a comprehensive understanding of how the technology works and the implementation of effective strategies. By combining quality proxies, anti-detect browsers, and a thoughtful approach to user behavior, you can significantly reduce the risk of account bans and operate successfully across multiple platforms.