CloakBrowser

// Overview

CloakBrowser is a Chromium build whose fingerprints are modified at the C++ source level rather than patched at runtime. The project's argument is that JS injection and launch-flag tricks are themselves detectable, so it ships 87 source-level patches covering canvas, WebGL, audio, fonts, GPU, screen, WebRTC, network timing, automation signals and CDP input behaviour — and antibot systems score the result as an ordinary browser.

It is designed as a drop-in replacement: the Python and JavaScript packages expose the same API surface as Playwright (and Puppeteer via a separate entry point), so switching an existing automation script means changing the import and nothing else. A `humanize=True` flag adds human-like mouse curves, keyboard timing and scroll patterns for behavioural detection, and `geoip=True` matches timezone and locale to a proxy's IP.

The core is MIT-licensed and the stealth Chromium binary (~200MB) is downloaded and cached on first run; a Pro tier gates a separate binary with stronger scores. The project publishes its results against 30+ detection sites, including Cloudflare Turnstile, FingerprintJS and BrowserScan. Use it on targets you are authorized to automate — the same tool that makes an agent's browsing session work is subject to each site's terms.

// What it does

• 87 source-level C++ patches across canvas, WebGL, audio, fonts, GPU, screen, WebRTC, network timing and automation signals
• Drop-in Playwright and Puppeteer replacement — same API, just change the import
• `humanize=True` for human-like mouse curves, keyboard timing and scroll patterns
• `geoip=True` matches timezone and locale to the proxy IP; proxy and headed/headless are launch options
• Clients for Python (pip), JavaScript/Node (npm) and .NET (NuGet), plus a Docker image
• Binary auto-downloads and caches on first run — no manual Chromium management

// Getting started

There is a zero-install smoke test via Docker; after that, install the client for your language and swap the import in existing automation code.

docker run --rm cloakhq/cloakbrowser cloaktest

pip install cloakbrowser

# JavaScript, with Playwright
npm install cloakbrowser playwright-core

# or with Puppeteer
npm install cloakbrowser puppeteer-core

from cloakbrowser import launch

browser = launch()
page = browser.new_page()
page.goto("https://example.com")
browser.close()

import { launch } from 'cloakbrowser';

const browser = await launch();
const page = await browser.newPage();
await page.goto('https://example.com');
await browser.close();

browser = launch(
    proxy="http://user:pass@residential-proxy:port",
    geoip=True,
    headless=False,
    humanize=True,
)

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

// When to use it

• Give a browser agent a session that does not get blocked before it reaches the page it needs
• Port an existing Playwright or Puppeteer scraper onto a less detectable browser without rewriting it
• Run authorized QA and monitoring against your own properties behind bot-protection layers
• Scale headless collection across many sessions with per-session proxy, locale and fingerprint control

// How CloakBrowser compares

CloakBrowser alongside other open-source computer & browser use tools AI/TLDR tracks, ranked by GitHub stars.