CreepJS Fingerprint Test Explained
In this creepjs fingerprint test explained breakdown, CreepJS (developed by abrahamjuliot/creepjs) is recognized as the most advanced open-source browser fingerprinting benchmark that audits browser integrity by detecting JavaScript API tampering (“Lies”), worker thread discrepancies, prototype overrides, and canvas noise anomalies to calculate a Trust Score (0% to 100%). While standard anti-detect browsers fail because of naive JavaScript wrapper injections, Send.win achieves consistently high trust scores via C++ binary-level fingerprint synthesis in its native desktop browser engine.
What Makes CreepJS the Toughest Browser Fingerprint Benchmark?
Most commercial fingerprint checking websites—such as basic IP or User-Agent checkers—only perform superficial audits of your browser headers and basic JavaScript properties. Anti-bot systems and enterprise security providers (such as Cloudflare, Akamai, Datadome, and Kasada) go much deeper. CreepJS was created specifically to test the absolute limits of browser fingerprinting and expose spoofing techniques used by privacy extensions, automated headless scripts, and poorly engineered anti-detect browsers.
Understanding a modern browser fingerprint explained requires realizing that modern websites do not simply read static attributes like your screen dimensions or operating system string. Instead, they analyze the behavioral interactions between your JavaScript execution context, native browser APIs, rendering engines, GPU hardware drivers, and system fonts. CreepJS measures these deep interaction vectors and exposes any subtle mismatch between what your browser claims to be and how it actually executes code under the hood.
How CreepJS Calculates Your Browser’s Trust Score (0% to 100%)
When you visit CreepJS, the benchmark initiates a comprehensive battery of asynchronous tests designed to measure your browser profile’s mathematical entropy and internal consistency. Rather than giving a simple pass or fail result, CreepJS outputs a dynamic Trust Score percentage alongside detailed diagnostic cards.
The Trust Score is calculated using an entropy model that weighs several crucial factors:
- Lies and API Tampering (Weight: High): Any attempt to intercept, override, or monkey-patch native JavaScript methods (such as
Navigator.prototypeorHTMLCanvasElement.prototype.toDataURL) generates a flagged “Lie”. Each detected lie severely reduces your overall trust rating. - Worker Thread Parity (Weight: High): CreepJS spawns Web Workers and Service Workers to read hardware APIs in isolated background threads. If the parameters returned by the main thread differ from those returned by worker threads, CreepJS flags an immediate contradiction.
- Prototype Integrity (Weight: Medium-High): Native browser methods return distinct string signatures when evaluated with
Function.prototype.toString(). CreepJS inspects property descriptors, getter functions, and object prototypes to verify that native functions have not been wrapped in custom proxy handlers. - Hardware & Feature Consistency (Weight: Medium): CreepJS evaluates whether your claimed GPU graphics vendor matches your WebGL rendering extensions, audio context sample rates, system font stacks, and CSS media query support.
- Bot & Headless Artifacts (Weight: High): Presence of automated testing signatures (such as
navigator.webdriver, missing Chrome runtime objects, or unnatural mouse/keyboard event timings) drops the trust score down toward 0%.
The 5 Primary Detection Mechanisms CreepJS Uses to Expose Anti-Detect Browsers
To successfully navigate modern security systems and bypass anti-bot mechanisms, you must understand the exact technical vectors CreepJS uses to inspect browser environments. Below is a deep breakdown of the five primary audit methods.
1. JavaScript API Tampering (“Lies”) & Proxy Trap Detection
The most common method naive anti-detect extensions and tools use to hide fingerprints is overwriting JavaScript properties directly in the global scope. For instance, an extension might try to change the reported CPU core count by executing:
// Naive JS spoofing (easily detected by CreepJS)
Object.defineProperty(navigator, 'hardwareConcurrency', {
get: () => 8
});
CreepJS detects this instantly using several proxy trap methods. It inspects the property descriptor of navigator.hardwareConcurrency using Object.getOwnPropertyDescriptor(). In a genuine browser, native properties exhibit specific attributes (such as configurable: true or enumerable: true) and are backed by getter functions attached directly to Navigator.prototype rather than the instance object.
Furthermore, CreepJS attempts to invoke native getters using alternative execution contexts (for example, applying the getter method across cross-realm iframe.contentWindow contexts). If the overridden getter fails or behaves differently than a true native C++ binding, CreepJS logs an explicit “Lie”.
2. Worker Thread Inconsistencies & OffscreenCanvas Mismatches
Standard browser extension scripts run inside the Main Execution Thread. When an anti-detect browser relies on JavaScript content scripts to alter values, it often forgets to inject those same overrides into background Web Worker threads or Service Worker contexts.
CreepJS takes advantage of this oversight by creating a background Web Worker and requesting system parameters directly from the worker scope:
// CreepJS Worker inspection pattern
const workerScript = `
self.onmessage = () => {
self.postMessage({
hardwareConcurrency: navigator.hardwareConcurrency,
useragent: navigator.userAgent,
canvasHash: (() => {
if (typeof OffscreenCanvas !== 'undefined') {
const canvas = new OffscreenCanvas(200, 50);
const ctx = canvas.getContext('2d');
ctx.fillText('CreepJS Test', 10, 10);
return canvas.convertToBlob();
}
return null;
})()
});
};
`;
If your main browser tab reports Windows 11 with 16 CPU threads, but the Web Worker thread inside the same browser profile reports Linux or 4 CPU threads, CreepJS flags a fatal contradiction. Similarly, if OffscreenCanvas rendering in worker threads generates a different hash than standard 2D canvas rendering on the DOM, CreepJS detects artificial noise injection.
3. Prototype Overrides & Function.prototype.toString Native Leaks
In JavaScript, native built-in functions return a standardized string format when converted to a string representation:
function () { [native code] }
When anti-detect scripts wrap native methods inside custom JavaScript functions or Proxy handlers to alter return values, calling toString() on the modified function often reveals extra spaces, missing line breaks, or custom wrapper signatures. Even if the spoofing script overrides Function.prototype.toString itself, CreepJS tests toString using unmodified native references retrieved from fresh un-tampered iframe contexts:
// CreepJS iframe un-tampered function inspection
const iframe = document.createElement('iframe');
document.body.appendChild(iframe);
const cleanToString = iframe.contentWindow.Function.prototype.toString;
// Testing if navigator.mediaDevices.enumerateDevices is truly native
const isNative = cleanToString.call(navigator.mediaDevices.enumerateDevices) === 'function enumerateDevices() { [native code] }';
document.body.removeChild(iframe);
If the string output does not match Chromium’s exact internal formatting byte-for-byte, CreepJS logs a critical prototype modification flag.
4. DOM Mutations & Element Rect Geometry Fingerprinting
CreepJS performs subtle DOM rendering operations to measure font metrics, system DPI scaling, and element geometry. It inserts specific SVG elements, HTML canvas blocks, and custom inline text strings into the DOM, then measures bounding rect dimensions using Element.getBoundingClientRect() and Range.getClientRects() down to sub-pixel fractional values (e.g., 14.28125px).
Because sub-pixel text rendering depends on the host operating system’s underlying rasterizer (DirectWrite on Windows, CoreText on macOS, and FreeType on Linux), CreepJS can accurately identify the real operating system running on the physical hardware regardless of what User-Agent string is presented. If your User-Agent claims to be macOS Safari, but sub-pixel DOM element bounding rects match Windows DirectWrite font kerning, CreepJS exposes the profile as inconsistent.
5. Canvas Noise Patterns & WebGL Shader Artifacts
To prevent canvas fingerprinting, many basic privacy tools append random mathematical noise to canvas rendering methods like toDataURL() or getImageData(). CreepJS easily exposes naive noise injection algorithms by running deterministic canvas tests:
- Non-Deterministic Noise Test: CreepJS renders identical 2D canvas elements multiple times in rapid succession. If calling
toDataURL()on the same canvas produces two different hashes, CreepJS flags non-deterministic noise injection. Real graphics cards always render the exact same pixel buffer for identical draw calls. - Linear Shift Detection: CreepJS draws simple geometric shapes with single-color fills and inspects individual RGBA pixel arrays. If pixel values are perturbed by constant offsets (such as
+1or-1alpha shifts), CreepJS detects the exact noise formula and subtracts it to reveal the true underlying canvas fingerprint. - WebGL Parameter & Shader Hash Analysis: CreepJS evaluates WebGL extension support, unmasked renderer strings, GPU precision parameters, and shader compilation binaries to ensure complete alignment between hardware capability claims and rendering outputs.
Why Naive Extensions and Script Injections Fail CreepJS Audits
Many users assume they can achieve browser anonymity by installing browser extensions or running user-scripts that alter navigator parameters. However, browser extensions operate at the JavaScript execution layer, which is fundamentally unsuited for deep fingerprint spoofing.
Extensions suffer from three inherent architectural limitations:
- Execution Order Delays: Content scripts injected by extensions execute after the initial DOM initialization phase. Detection scripts like CreepJS or enterprise anti-bot solutions can capture un-tampered native values during early window creation before the extension script finishes loading.
- Cross-Context Leaks: Extensions struggle to intercept every possible context where JavaScript can execute, including
SharedWorker,ServiceWorker,AudioWorklet,WebAssemblyinstances, and cross-origin iframes. - Extension Fingerprints: Chrome extensions introduce unique web-accessible resource URLs (
chrome-extension://[id]) and modify extension API object properties, giving site scripts another way to flag the profile.
CreepJS vs Other Browser Fingerprint Testing Tools
To put CreepJS in perspective, let us compare how it evaluates browser fingerprints against other popular online testing benchmarks:
| Benchmark Tool | Primary Audit Focus | Lies & Proxy Trap Detection | Worker Thread Audit | C++ Native Level Verification |
|---|---|---|---|---|
| CreepJS | Deep API integrity, prototype modifications, JS lies, canvas noise | Extreme (Advanced iframe traps & prototype checks) | Yes (Main, WebWorker, OffscreenCanvas parity) | Yes (Full native method evaluation) |
| Pixelscan.net | Profile consistency (IP vs Geo, OS vs User-Agent, WebRTC) | Moderate | Basic | No |
| BrowserLeaks | Individual API data extraction (Canvas, WebGL, WebRTC, Fonts) | Low (Informational display only) | No | No |
| AmIUnique | Global statistical fingerprint uniqueness score | Low | No | No |
| Cover Your Tracks (EFF) | Ad-blocker protection and tracking protection entropy | Low | No | No |
How Send.win Achieves High CreepJS Trust Scores via C++ Binary Level Fingerprint Synthesis
Passing CreepJS requires abandoning JavaScript-level overrides entirely. Rather than attempting to patch browser APIs after the rendering engine starts, Send.win handles fingerprint modification directly inside the compiled C++ source code of the browser binary itself.
Send.win provides complete session isolation and fingerprint synthesis across two flexible operational deployment modes:
- Sendwin Browser (Native Desktop Client): A native client for Windows, macOS, and Linux built directly on top of modified Chromium C++ source code. Requiring a local desktop installation, hardware properties—including WebGL parameters, CPU core counts, device memory, canvas rasterization algorithms, and system font mappings—are synthesized at the C++ kernel level before JavaScript execution context is created. When CreepJS performs property descriptor checks or iframe context extractions, it interacts directly with true C++ native bindings. No JS lies are logged because no JS overrides exist.
- Cloud Browser Sessions: For workflows requiring zero local installation or seamless remote team access, Send.win provides cloud-hosted browser sessions. Profiles execute inside secure cloud container environments without local software installation, allowing you to access fully isolated profiles directly through your web browser while preserving high-trust binary fingerprints.
How Send.win Helps With Creepjs Fingerprint Test Explained
Send.win is an antidetect browser built for exactly this kind of work — every profile is a clean, isolated identity:
- Isolated profiles – unique fingerprint, separate cookies and storage per profile
- Stealth engine – canvas, WebGL, fonts, and audio spoofed at the engine level
- Desktop app + cloud sessions – native app for Windows, macOS, and Linux, or run profiles in the cloud with no install
- Built-in residential proxies – with automatic timezone, locale, and WebRTC matching
- Team features – share logged-in profiles with teammates without sharing passwords
Try the instant cloud browser demo — no install, no signup — or download the desktop app. The 30-day free trial needs no credit card, and paid plans start at $6.99/month billed annually (see pricing).
Additionally, developers managing automated web scrapers or multi-account farming operations can leverage Send.win’s Automation API available on both Pro ($9.99/mo, or $6.99/mo billed annually with 150 profiles, 5GB storage, and Automation API) and Team ($29.99/mo, or $20.99/mo billed annually with 500 profiles, 20GB storage, 16 user seats, and Automation API) plans. All plans include a 30-day free trial with no credit card required. The Automation API allows full control over isolated browser profiles via Selenium, Puppeteer, or Playwright without exposing automated control flags like navigator.webdriver to CreepJS audits.
By enforcing strict safe browsing practices and realistic hardware profile matching, Send.win allows digital marketers, e-commerce managers, and security researchers to maintain dozens or hundreds of accounts without triggering security anti-bot flags.
🏆 Send.win Verdict
CreepJS is the ultimate test of browser profile authenticity. Standard anti-detect browsers and extension-based spoofers fail CreepJS because JavaScript-layer property overrides leave obvious prototype leaks and thread inconsistencies. Send.win solves this problem by synthesizing native browser profiles at the C++ binary level, yielding clean prototype trees, zero JS lies, and consistent high trust scores across all worker threads.
Try Send.win free today — Start your 30-day free trial with no credit card required and manage up to 150 profiles with native Automation API support for just $6.99/month billed annually.
Frequently Asked Questions
What is CreepJS and why is it used to test browser fingerprints?
CreepJS is an open-source browser fingerprinting benchmark created by abrahamjuliot. It is widely used by privacy researchers and web developers to test how effectively modern browser detection scripts can identify API modifications, prototype overrides, canvas noise, and hardware anomalies.
What does a “Lie” mean on a CreepJS test result?
On CreepJS, a “Lie” indicates that JavaScript code modified a native browser property or method in an attempt to spoof hardware or software parameters. CreepJS detects lies by checking property descriptors, testing cross-realm iframe prototypes, and comparing main thread values with Web Worker thread values.
Can a standard browser extension pass the CreepJS fingerprint test?
No. Browser extensions operate inside JavaScript content scripts after the browser’s DOM environment has already initialized. CreepJS easily exposes extension-based spoofing by inspecting prototype chains, property getters, and un-intercepted background worker contexts.
What is a good Trust Score on CreepJS?
A Trust Score above 80% indicates a clean, highly consistent browser profile with minimal or zero detected API lies. Unmodified stock browsers typically score between 80% and 100%, whereas naive anti-detect browsers often score below 40% due to multiple detected lies.
How does Web Worker thread parity affect CreepJS trust scores?
Web Workers execute JavaScript in isolated background threads. CreepJS checks whether properties like navigator.hardwareConcurrency or OffscreenCanvas hashes in Web Workers match the main thread. Mismatches reveal that spoofing scripts only patched the main thread, causing an immediate drop in trust score.
Does CreepJS detect Canvas noise injection?
Yes. CreepJS detects canvas noise by running multiple identical draw calls to check for non-deterministic output, as well as analyzing RGBA pixel arrays to identify linear math shifts commonly added by privacy tools.
How does Send.win pass CreepJS audits without triggering JS lies?
Send.win modifies Chromium at the native C++ source code level in the Sendwin Browser desktop client (which requires local install) and cloud browser engines (which require no local install). Because fingerprint parameters are compiled directly into native browser methods, no JavaScript overrides or proxy wrappers are used, resulting in zero detected lies on CreepJS.
Does Send.win support automated browser testing with CreepJS protection?
Yes. Send.win offers a native Automation API on both Pro ($9.99/mo, or $6.99/mo billed annually, 150 profiles, 5GB storage) and Team ($29.99/mo, or $20.99/mo billed annually, 500 profiles, 20GB storage, 16 seats) plans, supported by a 30-day free trial with no credit card required. This API allows automated tools like Puppeteer, Playwright, and Selenium to connect to isolated browser profiles while maintaining full binary-level fingerprint consistency.