Bot Detection Test: Complete Guide (2026)

What Is a Bot Detection Test?

A bot detection test is a diagnostic check that reveals whether websites can identify your browser
as automated rather than human-operated. These tests expose the telltale signs that anti-bot systems look for — from
automation flags and fingerprint inconsistencies to behavioral patterns and network anomalies.

Whether you’re building web scrapers, running QA automation, or managing multiple accounts with antidetect browsers,
regularly testing your setup against bot detection systems is essential. A single overlooked signal can compromise
your entire operation.

Why Bot Detection Testing Matters

The Cost of Being Detected

Account bans: Platforms permanently disable detected bot accounts
Data poisoning: Sites serve fake data to bots they’ve identified
IP blacklisting: Your IP address gets flagged across multiple platforms
CAPTCHA walls: Every request triggers verification challenges
Rate limiting: Severe throttling that makes automation impractical
Legal risk: Repeated circumvention attempts may trigger legal action

What Anti-Bot Systems Check

Category	Signals Analyzed	Detection Difficulty
Automation Flags	navigator.webdriver, Chrome DevTools Protocol, automation switches	Easy to spoof
Browser Fingerprint	Canvas, WebGL, AudioContext, fonts list	Medium to spoof
TLS/HTTP Fingerprint	JA3/JA4 hash, HTTP/2 settings, cipher suites	Hard to spoof
Environment Consistency	UA vs. platform, timezone vs. IP geo, screen vs. GPU	Medium
Behavioral Analysis	Mouse movement, typing speed, scroll patterns	Very hard to fake
Network Analysis	IP reputation, ASN type, request patterns	Hard to avoid

Top Bot Detection Test Sites

1. Bot Sannysoft (bot.sannysoft.com)

The most popular comprehensive bot detection test:

Tests navigator.webdriver, Chrome automation flags
Checks window.chrome runtime object
Analyzes plugin and permissions behavior
Tests iframe handling and sandboxing
Rating: ⭐⭐⭐⭐ — Great for basic automation detection

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2. CreepJS (abrahamjuliot.github.io/creepjs)

Advanced fingerprint analysis and consistency checking:

Calculates fingerprint entropy (how unique you are)
Detects fingerprint spoofing by checking internal consistency
Analyzes lies — when reported values don’t match observed behavior
Tests headless detection across multiple vectors
Rating: ⭐⭐⭐⭐⭐ — The gold standard for fingerprint testing

3. BrowserLeaks (browserleaks.com)

Detailed breakdown of every browser property:

Canvas fingerprint with visual hash comparison
WebGL renderer and GPU information
Font detection and enumeration
WebRTC leak detection (IP exposure)
Audio fingerprint analysis
Rating: ⭐⭐⭐⭐⭐ — Best for detailed per-property analysis

4. Pixelscan (pixelscan.net)

Fingerprint consistency verification:

Checks if all fingerprint components tell a consistent story
Detects mismatches between user agent, platform, and hardware
Verifies timezone alignment with IP location
Reports an overall consistency score
Rating: ⭐⭐⭐⭐ — Great for antidetect browser validation

5. NowSecure (nowsecure.nl)

Cloudflare challenge test:

Tests if your browser can pass Cloudflare’s bot detection
Simple pass/fail result
Useful for testing access to Cloudflare-protected sites
Rating: ⭐⭐⭐ — Single-purpose but valuable

How to Run a Comprehensive Bot Detection Test

Step 1: Test Automation Flags

Open your browser (or automated browser) and visit bot.sannysoft.com:

✅ navigator.webdriver should return false or undefined
✅ window.chrome object should be present with full properties
✅ No __webdriver_evaluate or __selenium_evaluate globals
✅ navigator.plugins should show at least PDF Viewer

Step 2: Test Fingerprint Consistency

Visit pixelscan.net and check for:

✅ User agent matches navigator.platform
✅ Timezone matches IP geolocation
✅ Screen resolution matches WebGL viewport
✅ Language settings are consistent
✅ Overall consistency score: “Consistent” or “Natural”

Step 3: Test Fingerprint Uniqueness

Visit CreepJS and verify:

✅ No “lie” indicators (detected spoofing attempts)
✅ Reasonable entropy score (not too unique, not too common)
✅ Headless detection: passed
✅ No internal inconsistencies flagged

Step 4: Test for Leaks

Visit browserleaks.com and check:

✅ WebRTC: No real IP leaked through STUN/TURN servers
✅ DNS: Requests go through your proxy, not your real ISP
✅ Canvas: Fingerprint differs from your real browser
✅ Fonts: Font list is realistic for your claimed OS

Step 5: Test Real-World Protection

Visit sites with actual anti-bot protection:

✅ Cloudflare-protected sites load without challenges
✅ Google search works without CAPTCHAs
✅ Amazon, LinkedIn, Facebook don’t flag your session

Testing Framework Comparison

Browser/Tool	Bot Sannysoft	CreepJS	Pixelscan	Cloudflare
Regular Chrome	✅ Pass	✅ Pass	✅ Pass	✅ Pass
Selenium (default)	❌ Fail	❌ Fail	⚠️ Partial	❌ Fail
Selenium + undetected-chromedriver	✅ Pass	⚠️ Partial	⚠️ Partial	⚠️ Sometimes
Playwright + Stealth	✅ Pass	⚠️ Partial	✅ Pass	⚠️ Sometimes
Antidetect Browser	✅ Pass	✅ Pass	✅ Pass	✅ Pass
Cloud Browser (Send.win)	✅ Pass	✅ Pass	✅ Pass	✅ Pass

The key difference is that multi login browsers use real browser engines rather than patched automation frameworks,
making them inherently harder to detect.

Common Detection Failures and Fixes

Failure	Cause	Fix
navigator.webdriver = true	WebDriver flag not patched	Use undetected-chromedriver or stealth plugin
Canvas fingerprint mismatch	Spoofing detected as inconsistent	Use noise injection, not value replacement
Timezone vs IP mismatch	Proxy in US, timezone set to Asia	Set timezone to match proxy location
WebRTC IP leak	Real IP exposed via STUN	Disable WebRTC or route through proxy
Headless detection	Running in headless mode	Use headful mode (–no-headless)
JA3 fingerprint mismatch	TLS fingerprint reveals automation framework	Use real browser or TLS randomizer
Empty plugin list	Headless Chrome has no plugins	Inject fake plugin data

Automating Bot Detection Tests

# Python script to automate bot detection testing
from selenium import webdriver
import undetected_chromedriver as uc
import time

# Setup
driver = uc.Chrome()

# Test 1: Bot Sannysoft
driver.get('https://bot.sannysoft.com')
time.sleep(3)
driver.save_screenshot('bot_sannysoft_test.png')
print('✅ Bot Sannysoft screenshot saved')

# Test 2: BrowserLeaks Canvas
driver.get('https://browserleaks.com/canvas')
time.sleep(5)
driver.save_screenshot('canvas_test.png')
print('✅ Canvas test screenshot saved')

# Test 3: Pixelscan
driver.get('https://pixelscan.net')
time.sleep(10)
driver.save_screenshot('pixelscan_test.png')
print('✅ Pixelscan test screenshot saved')

driver.quit()
print('\\n📊 Review screenshots to verify detection results')

Building a Bot Detection Testing Workflow

Before deployment: Run all 5 test sites and screenshot results
After browser updates: Re-test — updates can break stealth patches
After anti-bot system updates: Cloudflare, DataDome, etc. evolve regularly
Monthly maintenance: Schedule regular checks even without changes
After detection events: When accounts get flagged, test immediately to identify the leak

For multi-account operations, test each profile individually. Even small differences (like a forgotten WebRTC leak on
one profile) can compromise accounts. Using cloud browser profiles with built-in session isolation eliminates most detection vectors before testing even begins.

Frequently Asked Questions

How often should I run bot detection tests?

At minimum, test after every browser or tool update, and monthly as routine maintenance. If you’re actively running
automation against sites with strong anti-bot protection, weekly testing is recommended. Also test immediately after
any account ban or CAPTCHA escalation.

Can passing all test sites guarantee I won’t be detected?

No. Test sites check for known detection methods, but commercial anti-bot systems like DataDome and PerimeterX use
proprietary behavioral analysis and machine learning that public test sites don’t replicate. Passing public tests is
necessary but not sufficient for evading the most sophisticated systems.

Why does my browser pass bot detection tests but still get blocked?

This usually means behavioral analysis is catching you. Your fingerprint looks human, but your interaction patterns
(click speed, navigation flow, session timing) reveal automation. Add randomized delays, natural mouse movements,
and human-like browsing patterns.

Are bot detection tests themselves safe to visit?

Yes. These sites analyze your browser properties locally using JavaScript and display the results. They don’t report
your fingerprint to anti-bot companies or flag your IP. They’re diagnostic tools, not surveillance tools.

What’s the easiest way to pass all bot detection tests?

Use a real browser with a properly managed profile. Cloud browsers that provide real Chrome instances pass all tests
by default because there are no automation flags, no patched WebDriver, and no inconsistent fingerprints — they are
real browsers.

Conclusion

Regular bot detection testing is non-negotiable for anyone running browser automation or managing
multiple accounts. The five test sites covered — Bot Sannysoft, CreepJS, BrowserLeaks, Pixelscan, and NowSecure —
provide comprehensive coverage of automation flags, fingerprint consistency, and real-world anti-bot challenges.

For the highest pass rates with zero configuration, cloud browser solutions like Send.win use real
Chrome instances with unique fingerprints per profile — they pass bot detection tests by default because they aren’t
automated browsers pretending to be real. They are real browsers, each with a genuine, unique identity.