How to use CreepJS in 2026: Bypass browser fingerprinting

Your browser leaks identifying information every time you visit a website. Even in incognito mode.

CreepJS exposes these leaks by analyzing your browser's digital fingerprint. This open-source tool reveals exactly what tracking scripts can detect about your device, browser, and system configuration.

In this guide, you'll learn how to use CreepJS effectively for fingerprint analysis, testing browser automation tools, and validating anti-detection setups.

What is CreepJS and Why Use It?

CreepJS is an open-source browser fingerprinting analysis tool that detects privacy leaks in anti-fingerprinting extensions and browsers. It probes JavaScript APIs, Canvas rendering, WebGL parameters, and audio fingerprints to create unique browser identifiers. CreepJS helps developers test automation tools like Puppeteer, Playwright, and Selenium by revealing which browser attributes expose bot activity to anti-scraping systems.

Browser fingerprinting collects dozens of data points about your system. Screen resolution, installed fonts, GPU model, timezone, language settings—these combine into a unique ID.

CreepJS makes this process visible. It shows exactly which APIs leak information and how detectable your browser appears to tracking systems.

Understanding CreepJS Fingerprinting Techniques

CreepJS doesn't just collect basic browser data. It implements sophisticated detection methods that reveal even stealth automation tools.

Canvas Fingerprinting

Canvas fingerprinting draws invisible graphics using HTML5 Canvas API. Different hardware and drivers render pixels slightly differently.

CreepJS captures this rendering output and creates a hash. Two identical browsers on different machines produce different hashes due to hardware variations.

This technique exposes:

• Graphics card model
• Driver version differences
• Operating system rendering variations
• Anti-aliasing implementation

WebGL Fingerprinting

WebGL accesses your GPU directly for 3D rendering. It reveals detailed hardware information that's nearly impossible to spoof convincingly.

CreepJS extracts WebGL parameters including GPU vendor, renderer model, and supported extensions. These details remain consistent across sessions.

Headless browsers often use software rendering instead of hardware acceleration. This creates detectable inconsistencies.

Audio Context Fingerprinting

The Web Audio API processes sound differently on each device. Hardware variations, audio drivers, and DSP implementations all affect output.

CreepJS generates audio signals and measures processing characteristics. The results form another unique identifier.

This works even when no actual sound plays. The processing happens entirely in memory.

Navigator Object Analysis

The navigator object exposes browser and system details through JavaScript. CreepJS reads dozens of properties from this object.

Key properties include:

• User agent string
• Platform and OS
• Hardware concurrency (CPU cores)
• Device memory
• WebDriver presence flag

Automation tools often modify these properties incorrectly. CreepJS detects inconsistencies between claimed values and actual behavior.

Setting Up CreepJS for Local Testing

You can test CreepJS three ways: using the live demo, running it locally, or integrating it into automation scripts.

Using the Live Demo

The simplest method is visiting the official CreepJS site at https://abrahamjuliot.github.io/creepjs/.

Wait 5-10 seconds for all tests to complete. The page displays fingerprint data, trust scores, and detected anomalies.

This works for quick checks but doesn't integrate with automation tools.

Installing CreepJS Locally

Clone the GitHub repository to run CreepJS on your own server:

git clone https://github.com/abrahamjuliot/creepjs.git
cd creepjs
pnpm install
pnpm build:dev
pnpm start

The local server runs on localhost:8000. You can now test against your own CreepJS instance.

Local hosting lets you modify detection rules or add custom tests. It also works offline for development environments.

Running CreepJS in Node.js

For programmatic testing, you can import CreepJS as a module:

npm install creepjs

However, CreepJS primarily runs in browser environments. Server-side usage requires a headless browser to execute the JavaScript.

How to Use CreepJS with Browser Automation Tools

Testing automation tools with CreepJS reveals which browser properties leak information. Each tool has different detection signatures.

The standard workflow:

1. Launch automated browser
2. Navigate to CreepJS test page
3. Wait for tests to complete
4. Capture results screenshot
5. Analyze trust scores and detected lies

Let's implement this for each major automation framework.

Testing Puppeteer with CreepJS

Puppeteer controls Chrome or Chromium through the DevTools Protocol. Without modifications, it's easily detected by CreepJS.

Basic Puppeteer Test

Install Puppeteer first:

npm install puppeteer

Here's a basic test script:

const puppeteer = require('puppeteer');

async function testCreepJS() {
  const browser = await puppeteer.launch({
    headless: false
  });
  
  const page = await browser.newPage();
  await page.goto('https://abrahamjuliot.github.io/creepjs/');
  
  // Wait for tests to complete
  await page.waitForTimeout(10000);
  
  // Take screenshot
  await page.screenshot({
    path: 'puppeteer-basic.png',
    fullPage: true
  });
  
  await browser.close();
}

testCreepJS();

This script launches Chromium, navigates to CreepJS, and captures results after 10 seconds.

The screenshot will show 100% headless detection and multiple red flags. Puppeteer's default configuration is highly detectable.

Adding Stealth Plugin

The puppeteer-extra-plugin-stealth improves detection evasion significantly:

npm install puppeteer-extra puppeteer-extra-plugin-stealth

Updated script with stealth:

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');

puppeteer.use(StealthPlugin());

async function testCreepJSStealth() {
  const browser = await puppeteer.launch({
    headless: false,
    args: [
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-blink-features=AutomationControlled'
    ]
  });
  
  const page = await browser.newPage();
  
  // Set realistic viewport
  await page.setViewport({
    width: 1920,
    height: 1080
  });
  
  await page.goto('https://abrahamjuliot.github.io/creepjs/', {
    waitUntil: 'networkidle2'
  });
  
  await page.waitForTimeout(10000);
  
  await page.screenshot({
    path: 'puppeteer-stealth.png',
    fullPage: true
  });
  
  await browser.close();
}

testCreepJSStealth();

The stealth plugin patches dozens of detection vectors. It removes the navigator.webdriver flag, fixes Chrome runtime properties, and normalizes permission APIs.

Results improve dramatically. Headless detection drops from 100% to around 30-40%.

Testing Playwright with CreepJS

Playwright supports Chromium, Firefox, and WebKit. Its fingerprint differs from Puppeteer's but is still detectable without modifications.

Basic Playwright Implementation

Install Playwright:

pip install playwright
playwright install chromium

Python test script:

from playwright.sync_api import sync_playwright
import time

def test_creepjs_playwright():
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=False)
        context = browser.new_context(
            viewport={'width': 1920, 'height': 1080}
        )
        page = context.new_page()
        
        page.goto('https://abrahamjuliot.github.io/creepjs/')
        time.sleep(10)
        
        page.screenshot(path='playwright-basic.png', full_page=True)
        browser.close()

test_creepjs_playwright()

This script produces similar detection rates as basic Puppeteer. CreepJS identifies Playwright through automation flags and inconsistent property values.

Using Playwright-Stealth

The playwright-stealth library applies evasion techniques:

pip install playwright-stealth

Enhanced script:

from playwright.sync_api import sync_playwright
from playwright_stealth import stealth_sync
import time

def test_creepjs_stealth():
    with sync_playwright() as p:
        browser = p.chromium.launch(
            headless=False,
            args=[
                '--disable-blink-features=AutomationControlled',
                '--disable-dev-shm-usage'
            ]
        )
        
        context = browser.new_context(
            viewport={'width': 1920, 'height': 1080},
            user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
        )
        
        page = context.new_page()
        stealth_sync(page)
        
        page.goto('https://abrahamjuliot.github.io/creepjs/')
        time.sleep(10)
        
        page.screenshot(path='playwright-stealth.png', full_page=True)
        browser.close()

test_creepjs_stealth()

The stealth_sync function patches WebDriver flags, Chrome runtime, and navigator properties before page load.

Detection rates drop but don't disappear entirely. Advanced analysis still reveals automation signatures.

Testing Selenium with CreepJS

Selenium is the oldest browser automation framework. It's also the most detectable without proper configuration.

Standard Selenium Test

Install dependencies:

pip install selenium

Download ChromeDriver matching your Chrome version from the official site.

Basic test:

from selenium import webdriver
import time

def test_creepjs_selenium():
    driver = webdriver.Chrome()
    driver.get('https://abrahamjuliot.github.io/creepjs/')
    
    time.sleep(10)
    driver.save_screenshot('selenium-basic.png')
    driver.quit()

test_creepjs_selenium()

CreepJS immediately detects Selenium. The navigator.webdriver property is set to true, and multiple Chrome DevTools flags expose automation.

Results show 100% headless detection with extensive red warnings.

Undetected ChromeDriver

The undetected-chromedriver package specifically targets detection bypass:

pip install undetected-chromedriver

Improved implementation:

import undetected_chromedriver as uc
import time

def test_creepjs_undetected():
    options = uc.ChromeOptions()
    options.add_argument('--disable-blink-features=AutomationControlled')
    
    driver = uc.Chrome(options=options, use_subprocess=True)
    driver.get('https://abrahamjuliot.github.io/creepjs/')
    
    time.sleep(10)
    driver.save_screenshot('selenium-undetected.png')
    driver.quit()

test_creepjs_undetected()

This package applies extensive patches including:

• Removing webdriver flags
• Modifying Chrome DevTools protocol
• Normalizing navigator properties
• Fixing permission API responses

Detection drops significantly. Many sites that block standard Selenium allow undetected-chromedriver through.

Analyzing CreepJS Results and Trust Scores

Understanding CreepJS output helps identify which fingerprint components need improvement.

Trust Score Calculation

CreepJS assigns a trust score from 0-100%. Higher scores indicate more natural browser fingerprints.

The score considers:

• Consistency between claimed and actual properties
• Detection of JavaScript tampering
• Presence of automation flags
• Unusual API responses
• Fingerprint uniqueness

Scores above 90% suggest a convincing human-like fingerprint. Below 50% indicates obvious automation or spoofing.

Lie Detection

CreepJS highlights "lies" when detected values don't match claimed values.

Common lies include:

• User agent claims Windows but APIs reveal Linux
• Headless flag present despite browser window visible
• Canvas rendering inconsistent with claimed GPU
• Screen dimensions don't match reported values

Each lie increases suspicion and lowers trust scores.

Crowd Blending Score

This metric compares your fingerprint against CreepJS's database of known fingerprints.

Highly unique fingerprints stand out as unusual. Common fingerprints blend with the crowd.

Perfect spoofing requires looking common, not unique. Avoid rare configurations that draw attention.

Advanced Fingerprint Spoofing Techniques

Basic stealth plugins help but don't eliminate detection. Advanced techniques require deeper modifications.

Custom User Agent Rotation

Different browsers have distinct fingerprint signatures. Rotating user agents creates variety but requires matching all related properties.

Example configuration:

const profiles = [
  {
    userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    platform: 'Win32',
    vendor: 'Google Inc.',
    deviceMemory: 8,
    hardwareConcurrency: 4
  },
  {
    userAgent: 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
    platform: 'MacIntel',
    vendor: 'Apple Computer, Inc.',
    deviceMemory: 8,
    hardwareConcurrency: 8
  }
];

function applyProfile(page, profile) {
  await page.setUserAgent(profile.userAgent);
  
  await page.evaluateOnNewDocument((profile) => {
    Object.defineProperty(navigator, 'platform', {
      get: () => profile.platform
    });
    Object.defineProperty(navigator, 'vendor', {
      get: () => profile.vendor
    });
    Object.defineProperty(navigator, 'deviceMemory', {
      get: () => profile.deviceMemory
    });
    Object.defineProperty(navigator, 'hardwareConcurrency', {
      get: () => profile.hardwareConcurrency
    });
  }, profile);
}

This ensures all properties match the claimed user agent. Inconsistencies between user agent and actual properties trigger lie detection.

Canvas Noise Injection

Adding subtle noise to Canvas output makes fingerprints less consistent while maintaining visual accuracy:

await page.evaluateOnNewDocument(() => {
  const originalToDataURL = HTMLCanvasElement.prototype.toDataURL;
  const originalGetImageData = CanvasRenderingContext2D.prototype.getImageData;
  
  HTMLCanvasElement.prototype.toDataURL = function(...args) {
    const data = originalToDataURL.apply(this, args);
    // Add minimal random variation
    return data.slice(0, -5) + Math.random().toString(36).substr(2, 5);
  };
  
  CanvasRenderingContext2D.prototype.getImageData = function(...args) {
    const imageData = originalGetImageData.apply(this, args);
    
    // Modify 0.1% of pixels randomly
    for (let i = 0; i < imageData.data.length; i += 40) {
      if (Math.random() < 0.1) {
        imageData.data[i] += Math.floor(Math.random() * 3) - 1;
      }
    }
    
    return imageData;
  };
});

The noise is invisible to human eyes but prevents exact fingerprint matching across sessions.

WebGL Parameter Spoofing

Changing WebGL parameters requires consistency with the claimed GPU model:

await page.evaluateOnNewDocument(() => {
  const getParameter = WebGLRenderingContext.prototype.getParameter;
  
  WebGLRenderingContext.prototype.getParameter = function(parameter) {
    // UNMASKED_VENDOR_WEBGL
    if (parameter === 37445) {
      return 'Intel Inc.';
    }
    // UNMASKED_RENDERER_WEBGL  
    if (parameter === 37446) {
      return 'Intel(R) UHD Graphics 620';
    }
    
    return getParameter.call(this, parameter);
  };
});

Match these values to realistic GPU configurations. Claiming NVIDIA but having Intel rendering characteristics creates obvious lies.

Timezone and Geolocation Alignment

Your timezone should match your claimed location. Mismatches appear suspicious:

const config = {
  timezone: 'America/New_York',
  latitude: 40.7128,
  longitude: -74.0060
};

await page.evaluateOnNewDocument((config) => {
  // Override timezone
  const originalDateTimeFormat = Intl.DateTimeFormat;
  Intl.DateTimeFormat = function(...args) {
    if (!args[1] || !args[1].timeZone) {
      args[1] = args[1] || {};
      args[1].timeZone = config.timezone;
    }
    return new originalDateTimeFormat(...args);
  };
  
  // Override geolocation
  const originalGetCurrentPosition = navigator.geolocation.getCurrentPosition;
  navigator.geolocation.getCurrentPosition = function(success) {
    success({
      coords: {
        latitude: config.latitude,
        longitude: config.longitude,
        accuracy: 10
      }
    });
  };
}, config);

await page.setGeolocation(config);

Consistent location data across all APIs strengthens the fingerprint's believability.

Integrating Proxies for Complete Anonymity

Fingerprint spoofing handles browser-level detection. Proxies handle network-level identification.

Why Proxies Matter with CreepJS

CreepJS performs WebRTC leak tests that can expose your real IP address even behind VPNs. Proper proxy configuration prevents these leaks.

Network fingerprinting also examines:

• IP address location
• TCP/IP stack signatures
• HTTP header ordering
• TLS fingerprints

Proxies provide different IP addresses and network characteristics for each session.

Residential Proxy Configuration

Residential proxies use real residential IP addresses from ISPs. They appear as genuine home internet connections.

For fingerprint testing and bypassing, residential proxies from Roundproxies.com offer:

• Rotating residential IPs
• Geographic targeting
• HTTP/HTTPS support
• SOCKS5 protocol support

Integration with Puppeteer:

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');

puppeteer.use(StealthPlugin());

async function testWithProxy() {
  const proxyServer = 'residential.roundproxies.com:12345';
  const proxyUsername = 'your-username';
  const proxyPassword = 'your-password';
  
  const browser = await puppeteer.launch({
    headless: false,
    args: [
      `--proxy-server=${proxyServer}`,
      '--no-sandbox'
    ]
  });
  
  const page = await browser.newPage();
  
  // Authenticate proxy
  await page.authenticate({
    username: proxyUsername,
    password: proxyPassword
  });
  
  await page.goto('https://abrahamjuliot.github.io/creepjs/');
  await page.waitForTimeout(10000);
  
  await page.screenshot({
    path: 'creepjs-with-proxy.png',
    fullPage: true
  });
  
  await browser.close();
}

testWithProxy();

The proxy provides a legitimate residential IP address. Combined with fingerprint spoofing, this creates a convincing human-like signature.

Datacenter vs Residential Proxies

Datacenter proxies use IP addresses from data centers. They're faster and cheaper but more easily detected.

CreepJS doesn't directly test proxy type. However, sites using comprehensive fingerprinting often maintain databases of datacenter IP ranges.

For maximum authenticity during CreepJS testing:

• Use residential proxies for realistic network fingerprints
• Rotate IPs between test sessions
• Match proxy location to timezone and geolocation settings

Roundproxies.com offers both residential and datacenter proxies. Residential proxies work best for fingerprint testing because they match typical user network profiles.

Mobile Proxies for Mobile Fingerprints

Testing mobile browser fingerprints requires mobile-specific network signatures. Mobile proxies route traffic through real mobile devices on carrier networks.

Mobile proxy setup:

const mobileProxy = 'mobile.roundproxies.com:12345';

const browser = await puppeteer.launch({
  args: [`--proxy-server=${mobileProxy}`]
});

const page = await browser.newPage();

// Mobile user agent
await page.setUserAgent(
  'Mozilla/5.0 (iPhone; CPU iPhone OS 14_6 like Mac OS X) AppleWebKit/605.1.15'
);

// Mobile viewport
await page.setViewport({
  width: 375,
  height: 812,
  isMobile: true,
  hasTouch: true
});

Mobile networks have different TCP/IP signatures than residential broadband. Using mobile proxies ensures network-level consistency with mobile browser fingerprints.

Common CreepJS Detection Patterns

Understanding what CreepJS detects helps you avoid these patterns.

Automation Flags

The most obvious detection vector is the navigator.webdriver flag. Modern browsers set this to true when controlled by automation.

Basic stealth plugins remove this flag. However, removing it creates its own pattern—Chrome 89+ should have this property even when false.

The solution is setting it to false rather than removing it entirely.

Inconsistent Navigator Properties

Properties like navigator.platform, navigator.userAgent, and navigator.vendor must align logically.

Wrong:

navigator.platform = 'Win32'
navigator.userAgent = '...Macintosh; Intel Mac OS X...'

This obvious lie triggers immediate detection. Platform should be MacIntel for macOS user agents.

Chrome Runtime Leaks

Automation tools add properties to window.chrome that don't exist in normal browsers. CreepJS checks for these.

Proper stealth plugins normalize the chrome object structure to match genuine Chrome installations.

Permission API Responses

Automated browsers handle permission requests differently than normal browsers. CreepJS tests permissions for notifications, geolocation, and other APIs.

Spoofing must implement realistic permission behaviors matching the claimed browser configuration.

Troubleshooting Failed Fingerprint Tests

Even with stealth plugins, some configurations still fail CreepJS tests. Here's how to diagnose and fix issues.

High Headless Detection

If CreepJS reports high headless percentage despite using stealth plugins:

1. Verify plugin installation and initialization
2. Check for outdated plugin versions
3. Review browser launch arguments
4. Test with headless: false to confirm detection sources

Some detection vectors only appear in headless mode. Testing with visible browser helps isolate issues.

Low Trust Score

Trust scores below 50% indicate multiple problems:

1. Check for property inconsistencies (lies)
2. Verify user agent matches all related properties
3. Ensure timezone aligns with geolocation
4. Review canvas and WebGL configurations

Address each detected lie individually. Fixing lies systematically improves the trust score.

WebRTC Leaks

WebRTC can expose your real IP even when using proxies. CreepJS tests for these leaks.

Disable WebRTC entirely if not needed:

await page.goto('about:config');
await page.evaluate(() => {
  // Disable WebRTC
  RTCPeerConnection = undefined;
  RTCDataChannel = undefined;
});

Alternatively, configure WebRTC to only use proxy IPs through browser extensions or launch arguments.

Canvas Fingerprint Uniqueness

Highly unique canvas fingerprints indicate hardware-specific rendering that's difficult to spoof.

Solutions:

• Use canvas noise injection
• Test on different hardware configurations
• Implement software rendering modes

The goal is consistency, not randomness. Random canvas values change on each load, which itself appears suspicious.

Building Custom CreepJS Testing Scripts

For production use, build automated testing pipelines that regularly validate fingerprint configurations.

Automated Test Suite

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
const fs = require('fs');

puppeteer.use(StealthPlugin());

async function runCreepJSTest(config) {
  const browser = await puppeteer.launch({
    headless: false,
    args: [
      `--proxy-server=${config.proxy}`,
      '--no-sandbox',
      '--disable-setuid-sandbox'
    ]
  });
  
  const page = await browser.newPage();
  
  if (config.proxyAuth) {
    await page.authenticate(config.proxyAuth);
  }
  
  // Apply custom fingerprint
  await applyFingerprint(page, config.fingerprint);
  
  await page.goto('https://abrahamjuliot.github.io/creepjs/', {
    waitUntil: 'networkidle2'
  });
  
  await page.waitForTimeout(12000);
  
  // Extract results
  const results = await page.evaluate(() => {
    const trustScore = document.querySelector('.trust-score');
    const lies = Array.from(document.querySelectorAll('.lies'));
    
    return {
      trustScore: trustScore ? trustScore.textContent : 'N/A',
      liesDetected: lies.length,
      timestamp: new Date().toISOString()
    };
  });
  
  // Save screenshot
  await page.screenshot({
    path: `test-${config.name}-${Date.now()}.png`,
    fullPage: true
  });
  
  await browser.close();
  
  return results;
}

async function applyFingerprint(page, fingerprint) {
  await page.setUserAgent(fingerprint.userAgent);
  await page.setViewport(fingerprint.viewport);
  await page.setGeolocation(fingerprint.geolocation);
  
  await page.evaluateOnNewDocument((fp) => {
    // Apply all custom properties
    Object.defineProperty(navigator, 'platform', {
      get: () => fp.platform
    });
    Object.defineProperty(navigator, 'deviceMemory', {
      get: () => fp.deviceMemory
    });
    Object.defineProperty(navigator, 'hardwareConcurrency', {
      get: () => fp.hardwareConcurrency
    });
  }, fingerprint);
}

// Run tests
const testConfigs = [
  {
    name: 'windows-chrome',
    proxy: 'residential.roundproxies.com:12345',
    proxyAuth: { username: 'user', password: 'pass' },
    fingerprint: {
      userAgent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
      platform: 'Win32',
      deviceMemory: 8,
      hardwareConcurrency: 4,
      viewport: { width: 1920, height: 1080 },
      geolocation: { latitude: 40.7128, longitude: -74.0060 }
    }
  },
  // Add more configurations
];

async function runAllTests() {
  const results = [];
  
  for (const config of testConfigs) {
    console.log(`Testing configuration: ${config.name}`);
    const result = await runCreepJSTest(config);
    results.push({ config: config.name, ...result });
  }
  
  // Save results to file
  fs.writeFileSync(
    'creepjs-test-results.json',
    JSON.stringify(results, null, 2)
  );
  
  console.log('All tests complete. Results saved.');
}

runAllTests();

This script tests multiple fingerprint configurations automatically and saves results for analysis.

Continuous Integration Testing

Integrate CreepJS testing into CI/CD pipelines:

# .github/workflows/fingerprint-test.yml
name: Fingerprint Test

on:
  schedule:
    - cron: '0 0 * * *'  # Daily
  push:
    branches: [main]

jobs:
  test-fingerprints:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - uses: actions/setup-node@v2
        with:
          node-version: '16'
      
      - name: Install dependencies
        run: npm install
      
      - name: Run CreepJS tests
        run: node test-creepjs.js
      
      - name: Upload results
        uses: actions/upload-artifact@v2
        with:
          name: creepjs-results
          path: creepjs-test-results.json

Regular testing catches fingerprint degradation when browser versions update or detection methods evolve.

Final Thoughts

CreepJS reveals the extensive data your browser exposes to fingerprinting scripts. Testing with CreepJS helps validate privacy setups and anti-detection configurations.

Key takeaways:

Browser fingerprinting combines dozens of data points into unique identifiers. CreepJS makes this process visible.

Basic automation tools are immediately detected. Stealth plugins significantly improve results but don't eliminate detection entirely.

Advanced spoofing requires consistency across all browser properties. Inconsistencies between claimed and actual values trigger lie detection.

Combining fingerprint spoofing with quality proxies from Roundproxies.com creates more convincing browser signatures.

Regular testing catches configuration drift as browsers and detection methods evolve.

Use CreepJS as a diagnostic tool to identify and fix fingerprint leaks. The goal is blending with common fingerprints, not creating unique ones.