Browser Fingerprint Testing: Verify Your Anti-Detect Setup 2026

Configuring an anti-detect browser is only half the job — you need to verify that your fingerprint actually passes detection tests. Browser fingerprint testing validates that your canvas, WebGL, audio, and other parameters appear natural and unique without revealing spoofing artifacts.

Essential Testing Sites

1. CreepJS (Most Comprehensive)

URL: https://abrahamjuliot.github.io/creepjs/

Metric	What It Tests	Pass Criteria
Trust Score	Overall fingerprint trustworthiness	70%+
Lie Detection	Signs of fingerprint modification	Low/None
Canvas	2D rendering consistency	Unique, no block detected
WebGL	GPU renderer consistency	Matches OS
Audio	AudioContext consistency	Unique hash
Fonts	Font list analysis	Matches OS set
Navigator	Browser/OS consistency	All parameters match
Screen	Resolution consistency	Realistic values

How to interpret: A trust score above 70% with low lies detected indicates a well-configured profile. Some lies are expected with anti-detect browsers — the key is keeping them minimal and consistent.

2. BrowserLeaks (Detailed Parameter Check)

URL: https://browserleaks.com

Test Page	What to Check	Warning Signs
/canvas	Canvas fingerprint hash	“Canvas blocked” message
/webgl	WebGL vendor and renderer	Mismatched GPU/OS combo
/ip	IP address and geolocation	Real IP visible (WebRTC leak)
/javascript	Navigator properties	Inconsistent values
/fonts	Installed fonts	Wrong font set for chosen OS
/webrtc	WebRTC IP leak	Your real IP showing

3. Pixelscan (Quick Pass/Fail)

URL: https://pixelscan.net

Pixelscan provides a simple green/red status:

Result	Meaning	Action
Green (Consistent)	All parameters match	Profile is well-configured
Yellow (Warning)	Minor inconsistencies	Review flagged parameters
Red (Inconsistent)	Major mismatches detected	Reconfigure profile

4. IPLeak.net (Network Leak Check)

URL: https://ipleak.net

Check	What to Verify
Your IP	Should show proxy IP, not real IP
WebRTC	Should show proxy IP or nothing
DNS	Should not reveal your real DNS servers
Geolocation	Should match proxy location or be disabled

5. AmIUnique (Uniqueness Assessment)

URL: https://amiunique.org

Metric	Ideal Result
Uniqueness	“Yes, you are unique” (expected)
Canvas	Unique hash
WebGL	Matches realistic device
Timezone	Matches your proxy location

Testing Procedure

Step-by-Step Verification

1. Launch your anti-detect browser profile
2. Verify proxy connection:
   → Visit whatismyipaddress.com
   → Confirm IP matches your proxy
   → Check city/country matches expected location

3. Check for WebRTC leaks:
   → Visit ipleak.net
   → Ensure only proxy IP is visible
   → No local IPs (192.168.x.x) showing

4. Test fingerprint consistency:
   → Visit pixelscan.net
   → Check for green (consistent) status
   → Note any warnings

5. Deep fingerprint analysis:
   → Visit browserleaks.com/canvas
   → Verify unique canvas hash
   → Visit browserleaks.com/webgl
   → Verify GPU matches OS choice

6. Comprehensive evaluation:
   → Visit creepjs
   → Check trust score (aim 70%+)
   → Review lie detection (minimize)
   → Note any flagged parameters

7. Cross-profile verification:
   → Open a DIFFERENT profile
   → Repeat steps 2-6
   → Verify ALL parameters are DIFFERENT
   → Canvas hash must be different
   → WebGL renderer should differ
   → IP must be different

Common Issues and Fixes

Issue Found	Test Site	Cause	Fix
Real IP visible in WebRTC	IPLeak, BrowserLeaks	WebRTC not configured	Disable or alter WebRTC
Canvas blocked	CreepJS, BrowserLeaks	Canvas set to “Block”	Change to “Noise” mode
macOS with NVIDIA GPU	BrowserLeaks, Pixelscan	OS/GPU mismatch	Match GPU to OS
Wrong timezone	CreepJS	Timezone not matching proxy	Set timezone to match proxy
Same fingerprint across profiles	Any	Fingerprint not regenerated	Create new fingerprint per profile
High lie count	CreepJS	Aggressive spoofing detected	Use subtler noise settings
DNS leak	IPLeak	DNS routing through real ISP	Enable proxy DNS resolution

Testing Different Anti-Detect Browsers

Benchmark Results (Typical)

Browser	CreepJS Trust	Pixelscan	WebRTC	Canvas
Multilogin Mimic	75-85%	Green	Pass	Unique noise
Multilogin Stealthfox	70-80%	Green	Pass	Unique noise
GoLogin Orbita	72-82%	Green	Pass	Unique noise
AdsPower Sun	68-78%	Green/Yellow	Pass	Unique noise
Dolphin Anty	70-80%	Green	Pass	Unique noise
Kameleo	75-85%	Green	Pass	Real profile
Incogniton	65-75%	Green/Yellow	Pass	Unique noise
Regular Chrome	90-95%	Green	Fail (real IP)	Real (trackable)

Note: Regular Chrome scores highest on “trust” because it is not spoofing anything — but your real fingerprint is trackable across all sites.

Automated Fingerprint Testing

from selenium import webdriver
import json
import time

def test_fingerprint(driver):
    """Automated fingerprint test across multiple sites."""
    results = {}

    # Test 1: IP check
    driver.get("https://api.ipify.org?format=json")
    time.sleep(2)
    ip_data = json.loads(driver.find_element("tag name", "pre").text)
    results["ip"] = ip_data["ip"]

    # Test 2: WebRTC check
    driver.get("https://browserleaks.com/webrtc")
    time.sleep(5)
    # Check if WebRTC shows only proxy IP

    # Test 3: Canvas hash
    driver.get("https://browserleaks.com/canvas")
    time.sleep(5)
    canvas_element = driver.find_element("css selector", "#canvas-hash")
    results["canvas_hash"] = canvas_element.text

    # Test 4: WebGL vendor
    driver.get("https://browserleaks.com/webgl")
    time.sleep(5)
    vendor = driver.find_element("css selector", "#webgl-vendor")
    results["webgl_vendor"] = vendor.text

    return results

def compare_profiles(profile_results):
    """Verify that different profiles have different fingerprints."""
    canvas_hashes = [r["canvas_hash"] for r in profile_results.values()]
    ips = [r["ip"] for r in profile_results.values()]

    issues = []
    if len(set(canvas_hashes)) < len(canvas_hashes):
        issues.append("WARNING: Duplicate canvas hashes detected!")
    if len(set(ips)) < len(ips):
        issues.append("WARNING: Duplicate IPs detected!")

    return issues if issues else ["All profiles have unique fingerprints and IPs"]

Testing Schedule

When	What to Test	Tools
New profile created	Full fingerprint verification	All 5 sites
After configuration change	Changed parameters only	Relevant BrowserLeaks page
Weekly maintenance	WebRTC and IP leak check	IPLeak.net
After browser update	Full fingerprint re-verification	CreepJS + Pixelscan
Before high-value operations	Quick consistency check	Pixelscan

Internal Linking

Fingerprint Configuration Guide — how to configure
Anti-Detect Browser + Proxy Integration — proxy setup
Browser Fingerprint Tester Tool — our built-in tool
Multilogin Tutorial — test with Multilogin
GoLogin Tutorial — test with GoLogin

FAQ

What is a good CreepJS trust score?

A trust score of 70-85% on CreepJS is typical for well-configured anti-detect browsers. Scores above 85% are excellent. Scores below 60% indicate significant configuration issues. Note that even regular Chrome browsers sometimes score below 90% due to browser extensions and settings. Focus on minimizing lie detection rather than maximizing the trust score.

Why does Pixelscan show a yellow warning?

Yellow warnings on Pixelscan usually indicate minor inconsistencies — such as a timezone that is close but not exactly matching the IP location, or a screen resolution that is unusual for the detected OS. Review the specific warning and adjust the flagged parameter. Most yellow warnings do not cause account issues but should be addressed for best results.

How often should I test my profiles?

Test new profiles thoroughly before first use (all 5 testing sites). After initial verification, weekly quick checks (IPLeak.net for WebRTC leaks) and monthly comprehensive checks (CreepJS) are sufficient. Always retest after updating your anti-detect browser, as updates can sometimes change fingerprint generation behavior.

Can detection tests guarantee my profile won’t be flagged?

No. Detection test sites check common fingerprinting parameters, but platforms like Facebook, Amazon, and Google use proprietary detection methods that may check additional signals (behavioral patterns, timing, mouse movements, typing speed). Passing public tests significantly reduces risk but does not guarantee undetectability. Combine good fingerprint configuration with natural behavior patterns.

Should all my profiles get different fingerprint test results?

Yes — the entire point of anti-detect browsers is that each profile appears as a different device. Canvas hashes, WebGL renderers, audio fingerprints, and IP addresses must be unique across profiles. If two profiles show identical canvas hashes or the same IP address, your isolation is broken and accounts can be linked.