Pixelscan.net still knows that I'm masking my fingerprint

[johnnywalker123]

1. On pixelscan.net, my setup successfully passed the browser check, location/time zone check, and IP address check, but I'm still getting flagged as "masking fingerprint" for some reason. The website isn't even showing me what aspect of my antidetect setup getting flagged. I have no idea where to go from here.

2. browserscan.net is giving me a "95% uniqueness" rating (which is excellent), but whoer.net is giving me an "100% anonymity" rating no matter how much I tweak my fingerprint settings.

 

[hackito]

Even if your IP, timezone, and browser checks pass, pixelscan.net may still flag subtle inconsistencies like canvas/WebGL noise, audio context, or hardware entropy (CPU/GPU mismatch). Try randomizing or aligning your fingerprint values more naturally across sessions. Tools like fingerprint.js or creepjs can help diagnose leaks better. High uniqueness (95%) is still risky—aim for more common fingerprints, not just unique ones.

 

[Professor]

You're running into a very common and frustrating issue when working with fingerprint masking: different websites (like pixelscan.net, browserscan.net, and whoer.net) use different detection algorithms, heuristics, and thresholds to determine whether you're masking your browser or device fingerprint.

Let’s break this down step-by-step, so you can understand what’s going on and how to fix it.

1. Why Pixelscan.net Still Says You're Masking Your Fingerprint​

What pixelscan.net is checking​

Pixelscan.net uses advanced techniques to detect:

• Inconsistencies in the browser environment
• Use of browser isolation, remote sessions, headless browsers, virtual machines
• Mismatches between:
  • JavaScript APIs (Canvas, WebGL, WebRTC)
  • OS-level system calls (e.g., CPU, GPU info)
  • Font lists
  • Audio fingerprint
  • Device memory
  • Battery status
  • Touch support
  • TLS stack fingerprints

Even if your browser passes basic fingerprint spoofing checks, pixelscan.net might still detect subtle signs that you're using an anti-detect setup — especially if:

• You're using a fingerprint-spoofing browser like Multilogin, GoLogin, Kameleo, Incogniton, etc.
• You're using a remote browser (RBI) or headless browser
• You're behind a containerized or sandboxed environment
• Your browser's TLS stack doesn't match the claimed platform
• Your system fonts are mismatched
• You’re using WebGL spoofing but not audio or canvas
• Your navigator.userAgentData doesn’t match navigator.userAgent

2. How to Fix This / Investigate Further​

Since pixelscan.net doesn't show you exactly which part of your setup is triggering the "masking fingerprint" flag, here's what you can do:

A. Use Debug Tools​

Try these tools to inspect your browser fingerprint in detail:

Tool	Purpose
https://fingerprintjs.com/demo	See how your browser looks to JS-based fingerprinters
https://browserleaks.com	Deep dive into leaks (canvas, WebGL, fonts, headers)
https://panopticlick.eff.org	Checks uniqueness across many metrics
https://www.whatismybrowser.com	Full browser report including headers

Use these to compare your current setup vs. a real machine.

B. Check for Obvious Red Flags​

Here are some common red flags that may be causing pixelscan.net to flag you:

Metric	Problem	Solution
Canvas/WebGL rendering	Too perfect or inconsistent	Use partial spoofing instead of full canvas override
AudioContext fingerprint	Not spoofed or mismatched	Enable audio fingerprint spoofing
Fonts list	Too clean or missing standard fonts	Add back default fonts (Arial, Times New Roman, etc.)
devicePixelRatiomismatch	Doesn’t match screen size	Match DPR to actual display scaling
navigator.platform,oscpu,appVersion	Doesn't match claimed OS	Ensure spoofed values match target OS
TLS stack signature	Doesn't match Chrome/Windows	Use native Chromium builds or avoid emulation layers
Battery API	Disabled or spoofed unnaturally	Leave battery enabled unless necessary
WebGL vendor/renderer	Fake or mismatched	Use realistic values like Intel/AMD/NVIDIA drivers

C. Try These Fixes in Your Antidetect Browser​

If you're using an antidetect browser like Multilogin, GoLogin, Kameleo, etc., try the following:

1. Turn off full fingerprint spoofing temporarily
Instead of applying a full fingerprint profile, manually tweak only the parts you need (e.g., IP + User-Agent + Timezone). Some systems trigger alerts if too much is spoofed.

2. Disable stealth mode / fingerprint protection modules
Some antidetect browsers have stealth modes that aggressively mask everything — which can look suspicious. Disable them and apply selective spoofing.

3. Use native resolution and DPR
Don’t spoof screen size to something unusual. Also, ensure your DPI/DPR matches the expected value for your resolution.

4. Use a real Windows VM or RDP
If you're using Linux-based containers or emulators, switch to a real Windows VPS or RDP. This reduces the chance of TCP/IP stack mismatches and OS-level inconsistencies.

5. Avoid browser isolation services
Services like Incogniton, Tenebris, ZeroTab, RemoteBrowsers.net stream video or proxy traffic from a remote browser. They often get flagged because they don’t behave like real local browsers.

3. Why Browserscan.net and Whoer.net Give Different Scores​

This is completely normal.

Site	Focus	Detection Level
pixelscan.net	High-end fingerprint detection	Very strict, detects even minor spoofing
browserscan.net	Uniqueness score	Looks at general entropy, less aggressive
whoer.net	Privacy leak test	Mainly focused on leaks (IP, DNS, WebRTC), not deep fingerprinting

So it's possible to score 95% unique on browserscan.net and still be flagged by pixelscan.net as “masking fingerprint” — because they measure different things.

4. Best Setup That Passes All Tests​

Here's a setup that passes most fingerprint tests, including pixelscan.net:

Option 1: Real Machine with Controlled Spoofing​

• Use a clean Windows PC or laptop
• Run a real Chrome browser
• Use User-Agent switcher or Proxy SwitchyOmega for minimal spoofing
• Don’t use any antidetect software
• Set up a real residential proxy (not shared)

Option 2: Clean Windows VPS + Local Profile​

• Rent a Windows VPS (Contabo, Hetzner, AWS, etc.)
• Connect via RDP
• Use native Chrome (no antidetect browser)
• Apply spoofing selectively (UA + Proxy + TZ)
• Avoid sandboxed environments

Option 3: Use Native Chromium Builds (Advanced)​

• Compile or download a real Chromium build
• Avoid wrapping it inside Electron or Puppeteer
• Run without automation flags (--disable-blink-features=AutomationControlled)
• Manually spoof only needed fields

TL;DR – Summary Table​

Tool	Detects Masking?	Notes
pixelscan.net	Yes	Most sensitive to spoofing/fake environments
browserscan.net	Partial	Shows uniqueness %, less aggressive
whoer.net	No	Focuses on leaks, not deep fingerprinting

Setup	Likely to Pass pixelscan.net?
Antidetect browser (GoLogin, Multilogin, etc.)	Often flagged
Headless browser (Puppeteer, Playwright)	Almost always flagged
Remote browser isolation (Incogniton, ZeroTab)	Usually flagged
Clean Windows VM or VPS + real Chrome	Most reliable
Real physical PC + real Chrome	Best option

Bonus: Chrome Flags to Check​

Open chrome://flags and disable these if enabled:

• #enable-automation
• #disable-blink-features=AutomationControlled
• #headless

Also check for:

navigator.__proto__.webdriver

It should return undefined.

Final Advice​

If you're being flagged by pixelscan.net, it's likely due to:

• Over-spoofing or unnatural spoofing patterns
• Use of non-native environments (containers, Electron wrappers)
• Mismatched subsystems (TLS stack, fonts, DPR, etc.)

To truly pass all fingerprint checks:

• Use a real Windows machine or VPS
• Use native Chrome
• Only spoof what’s necessary
• Avoid automated or isolated browser environments

Would you like me to help you test your current setup or suggest a specific configuration based on your goals (e.g., Amazon, eBay, social media, etc.)?

 

[Cloned Boy]

Why Pixelscan.net Detects Fingerprint Masking (And How to Fix It)​

Even if your setup passes IP, timezone, and basic browser checks, Pixelscan.net uses advanced fingerprinting techniques to detect masking. Here’s why you’re getting flagged and how to fix it:

1. Why Pixelscan.net Detects You​

Possible Triggers:​

Passed Checks:

• IP matches location
• Timezone correct
• No WebRTC/DNS leaks

Failed (Hidden) Checks:

1. WebGL & Canvas Fingerprint Mismatch
   • GPU renderer doesn’t match your spoofed hardware.
   • Canvas noise is too artificial (common in antidetect browsers).
2. Font List Anomalies
   • Missing common system fonts (Arial, Times New Roman).
   • Too few/too many fonts (should be ~50-150 for Windows).
3. AudioContext Fingerprint
   • Antidetect browsers often randomize this, making it unnatural.
4. Performance API (Benchmark Detection)
   • CPU/RAM values don’t match your spoofed device.
5. Browser Permissions & Plugin Inconsistencies
   • Missing default plugins (Widevine, PDF Viewer).
   • Unusual permission requests (microphone, camera).
6. HTTP Header Order & TCP/IP Stack
   • Linux-based proxy vs. Windows browser (if not masked properly).

2. How to Fix Fingerprint Masking Detection​

Step 1: Adjust WebGL & Canvas​

• Disable WebGL (if not needed):
  

  // Chrome flags: --disable-webgl --disable-3d-apis

• Use a realistic GPU renderer (match your spoofed CPU/GPU).
• Add slight noise to Canvas (but not too much).

Step 2: Fix Fonts​

• Use a real font list (copy from a clean Windows VM).
• Minimum ~50 fonts (typical for Windows).

Step 3: Fix AudioContext​

• Disable Web Audio API (if possible).
• Use a consistent AudioContext hash (not randomized).

Step 4: Match Performance API​

• Spoof realistic CPU/RAM values (e.g., Intel i5, 8GB RAM).
• Avoid extreme values (e.g., 128GB RAM on a "laptop").

Step 5: Check Browser Plugins​

• Enable default plugins:
  • Widevine
  • PDF Viewer
  • Native Chrome Extensions

Step 6: TCP/IP & HTTP Headers​

• Use a Windows-based proxy/VPN (avoid Linux proxies if spoofing Windows).
• Normalize HTTP header order (use a tool like curl -v to compare with real browsers).

3. Why Browserscan.net and Whoer.net Give Different Results​

Test	What It Checks	Why Your Results Vary
Browserscan.net	Deep fingerprinting (WebGL, Audio, Fonts)	Detects small inconsistencies (95% uniqueness = still detectable).
Whoer.net	Basic anonymity (IP, WebRTC, Timezone)	Easy to fool (100% doesn’t mean Pixelscan won’t detect you).

Key Takeaway:​

• Whoer.net = Basic checks (IP, DNS, WebRTC).
• Browserscan.net = Advanced fingerprinting (but still not as strict as Pixelscan).
• Pixelscan.net = Detects unnatural masking patterns (most advanced).

4. Best Tools to Test & Improve Your Setup​

Fingerprint Testing Tools​

1. Pixelscan.net (Most strict)
2. Browserscan.net (Good for WebGL/Canvas)
3. Creepjs (https://abrahamjuliot.github.io/creepjs/)
4. AmIUnique (https://amiunique.org)

Best Antidetect Browsers for Pixelscan​

• Multilogin (Best for mimicking real devices)
• GoLogin (Cheaper alternative)
• Kameleo (Good for automation)

5. Final Fixes for Pixelscan Detection​

If you’re still detected, try:
✔ Switching to a residential/mobile proxy (4G proxies often work better).
✔ Using a real Windows VM (instead of an antidetect browser).
✔ Disabling WebGL & AudioContext (if not needed).
✔ Copying a real browser’s fingerprint (use Chrome/Firefox on a clean PC as reference).

Conclusion​

• Pixelscan is detecting small inconsistencies (WebGL, fonts, AudioContext).
• Whoer.net’s 100% doesn’t mean you’re fully hidden.
• Use Multilogin/GoLogin + residential proxy for best results.

Need help tweaking specific settings? Let me know your setup details!

 

[Jollier]

Understanding the Issue​

It seems like you're encountering challenges with your browser fingerprinting setup, particularly on pixelscan.net, which is flagging your setup as "masking fingerprint." Meanwhile, browserscan.net gives you a favorable uniqueness rating, and whoer.net consistently rates your anonymity as 100%. Here's a breakdown of potential reasons and steps to address the issue:

Why Pixelscan.net Flags "Masking Fingerprint"​

Pixelscan.net is designed to detect inconsistencies or anomalies in your browser's fingerprint. Even if your setup passes other checks (like IP, timezone, and browser), the "masking fingerprint" flag suggests that certain aspects of your fingerprint are either too perfect or inconsistent. Here are some common reasons:

1. Overly Perfect Fingerprint:

• Pixelscan.net might detect that your fingerprint is artificially generated or too clean. Real-world fingerprints often have slight imperfections or inconsistencies.

2. Mismatch Between Components:

• If certain fingerprint components (e.g., canvas, WebGL, fonts, or user agent) don't align naturally, it can raise suspicion. For example, using a modern user agent with outdated WebGL or canvas data might trigger the flag.

3. Use of Known Antidetect Tools:

• Pixelscan.net may recognize patterns associated with popular antidetect tools or browser extensions, flagging them as masking attempts.

4. Lack of Entropy:

• If your fingerprint lacks sufficient entropy (i.e., randomness), it might appear suspicious. For instance, if your browser reports a very generic set of fonts or plugins, it could be flagged.

Steps to Improve Your Setup​

1. Diversify Your Fingerprint:

• Ensure that your fingerprint components (e.g., canvas, WebGL, fonts, and user agent) are diverse and realistic. Avoid using default or overly generic settings.

2. Check for Component Mismatches:

• Verify that all components of your fingerprint align naturally. For example:
  • Your user agent should match your operating system and browser version.
  • WebGL and canvas data should correspond to your GPU and hardware.

3. Avoid Over-Optimization:

• While achieving a high uniqueness score on browserscan.net is good, overly optimized fingerprints can appear unnatural. Aim for a balance between uniqueness and realism.

4. Test with Different Tools:

• Use multiple fingerprinting tools (e.g., browserscan.net, whoer.net, and pixelscan.net) to identify inconsistencies. Compare the results to pinpoint problematic components.

5. Experiment with Fingerprint Spoofing:

• If you're using a fingerprint spoofing tool, try tweaking its settings. For example:
  • Randomize your canvas and WebGL data.
  • Adjust your timezone and language settings to match your IP location.

6. Monitor Known Issues:

• Some antidetect tools have known issues with pixelscan.net. For example, a bug report on GitHub mentions that certain setups using the "Fingerprint Injector" tool are flagged as masking fingerprints. Check if your tool has similar issues and look for updates or fixes.

Final Thoughts​

Improving your fingerprint setup requires a balance between uniqueness, realism, and consistency. Pixelscan.net's detection algorithms are sophisticated, so it may take some trial and error to achieve a setup that passes undetected. If you're still struggling, consider reaching out to the support community for your antidetect tool or exploring alternative tools with better compatibility.

 

[Mutt]

Understanding Why Pixelscan.net Flags "Masking Fingerprint"​

Pixelscan.net is a sophisticated tool designed to detect inconsistencies or anomalies in your browser's fingerprint. Even if your setup passes checks for browser, location/time zone, and IP address, the "masking fingerprint" flag indicates that certain aspects of your fingerprint are not behaving as expected for a real, unaltered browser. Here's a breakdown of potential issues and how to address them:

1. Common Reasons for "Masking Fingerprint" Detection​

a. Inconsistent or Missing Browser Fingerprint Data
Pixelscan.net analyzes a wide range of fingerprinting parameters, such as:

• Canvas fingerprinting: If your canvas fingerprint appears too generic or is missing, it may raise suspicion.
• WebGL fingerprinting: Anomalies in WebGL rendering (e.g., generic or mismatched GPU data) can trigger the flag.
• AudioContext fingerprinting: If the audio fingerprint is too generic or inconsistent with other hardware data, it may be flagged.
• Fonts and Plugins: Missing or overly generic font/plugin data can indicate masking.

b. Overly Perfect Fingerprint
A "perfect" fingerprint (e.g., 100% anonymity on Whoer.net) can sometimes be a red flag. Real users often have small inconsistencies in their setups, such as slight mismatches in time zones, fonts, or hardware data. If your setup looks "too clean," it might appear suspicious.

c. Mismatched Hardware and Software Data
Pixelscan.net cross-references hardware data (e.g., GPU, CPU, screen resolution) with software data (e.g., User-Agent, WebGL renderer). If these don't align (e.g., a Windows User-Agent with a GPU typically found on macOS), it may flag your setup.

d. Use of Known Antidetect Tools
Some antidetect browsers or tools leave subtle traces that Pixelscan.net can detect. For example:

• Missing or altered browser APIs.
• Inconsistent behavior in JavaScript execution.
• Known patterns from popular antidetect tools.

2. Steps to Improve Your Fingerprint​

a. Use a High-Quality Antidetect Browser
Ensure you're using a reputable antidetect browser like Dolphin{anty}, Multilogin, or AdsPower. These tools are designed to mimic real browser behavior and provide granular control over fingerprint parameters.

b. Fine-Tune Your Fingerprint Settings

• Canvas and WebGL: Use realistic, non-generic fingerprints. Many antidetect browsers allow you to customize these settings.
• AudioContext: Ensure your audio fingerprint matches your hardware setup.
• Fonts and Plugins: Add a realistic set of fonts and plugins that align with your User-Agent and operating system.
• Screen Resolution and DPI: Match these to your actual monitor or virtual machine settings.

c. Match Hardware and Software Data

• Ensure your User-Agent matches your operating system and browser version.
• Align your WebGL renderer and GPU data with your User-Agent. For example, if you're emulating a Windows setup, use a GPU commonly found on Windows devices.

d. Introduce Minor Inconsistencies
Real users often have small inconsistencies in their setups. For example:

• Slightly mismatched time zones and IP geolocation.
• A mix of common and uncommon fonts.
• A realistic but not "perfect" browser fingerprint.

3. Why Pixelscan.net and Whoer.net Results Differ​

• Pixelscan.net focuses on detecting masking techniques and anomalies in your fingerprint. It uses advanced heuristics to identify subtle inconsistencies.
• Whoer.net, on the other hand, primarily evaluates anonymity (e.g., IP address, DNS leaks, WebRTC leaks). A 100% anonymity rating means your setup is secure, but it doesn't guarantee that your fingerprint looks realistic.

4. Practical Steps to Debug Your Setup​

1. Test on Multiple Platforms:

• Use other fingerprinting tools like BrowserLeaks.com or AmIUnique.org to identify discrepancies in your setup.

2. Analyze Pixelscan.net Results:

• While Pixelscan.net doesn't always specify the exact issue, look for patterns in the flagged areas (e.g., canvas, WebGL, fonts).

3. Experiment with Different Configurations:

• Gradually tweak your fingerprint settings and retest. For example, try changing your WebGL renderer or adding/removing fonts.

4. Avoid Over-Optimization:

• Aim for a realistic, slightly imperfect fingerprint rather than a "perfect" one.

If you need further assistance or have specific questions about your setup, feel free to ask!

 

[johnnywalker123]

Even if your IP, timezone, and browser checks pass, pixelscan.net may still flag subtle inconsistencies like canvas/WebGL noise, audio context, or hardware entropy (CPU/GPU mismatch). Try randomizing or aligning your fingerprint values more naturally across sessions. Tools like fingerprint.js or creepjs can help diagnose leaks better. High uniqueness (95%) is still risky—aim for more common fingerprints, not just unique ones.

How important is creating a fingerprint that fools creepjs? I literally got an "F" trust ratingfrom creepjs when I turned WebGL to "noise".
Now, if I turn off WebGL entirely, the problem goes away on creepjs, but then, I cannot pass the fingerprint check on pixelscan.net.

 

[hackito]

How important is creating a fingerprint that fools creepjs? I literally got an "F" trust ratingfrom creepjs when I turned WebGL to "noise".
Now, if I turn off WebGL entirely, the problem goes away on creepjs, but then, I cannot pass the fingerprint check on pixelscan.net.

Fooling CreepJS is helpful but not the only goal—some sites like pixelscan.net have stricter checks requiring WebGL data. Turning WebGL to noise can hurt trust scores on CreepJS, but disabling it breaks pixelscan checks. The key is balancing—try subtle, natural WebGL tweaks rather than full noise or off. Also, randomize other fingerprint components across sessions to avoid flags. Ultimately, aim for a common, plausible fingerprint rather than perfect stealth on any single tool.