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Stealth Browser Launch

CommunityPopular
uphiago
stealth-browser-launch

Launch stealth Chromium with C++ fingerprint patches for anti-bot bypass.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namestealth-browser-launch
Stars
1.3K
Forks
213
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by uphiago on GitHub. Read the source before you install it.

Installation

Install the Stealth Browser Launch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uphiago/recon-skills.git /tmp/recon-skills
mkdir -p .claude/skills
cp -r /tmp/recon-skills/recon/stealth-browser-launch .claude/skills/stealth-browser-launch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stealth Browser Launch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Stealth Browser Launch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Stealth Browser Launch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Stealth Browser Launch

Launch a patched Chromium binary with C++ source-level fingerprint modifications that bypass anti-bot detection. The binary spoofs canvas, WebGL, audio, GPU, screen, WebRTC, network timing, and automation signals at the binary level — not via JavaScript injection or config patches that break with Chrome updates. Passes Cloudflare Turnstile, reCAPTCHA v3 (0.9 score), FingerprintJS, BrowserScan, and 30+ detection sites.

When to Use

  • Target blocks curl/httpx/nuclei with Cloudflare, Akamai, DataDome, or Kasada.
  • Need full browser JavaScript execution for form submission, login, or XSS testing.
  • Target returns 403 on all unauthenticated requests even with proper headers.
  • Need to access reCAPTCHA-protected endpoints without solving CAPTCHAs.
  • Running automated recon behind residential proxies — stealth browser prevents IP+UA correlation.

Prerequisites

  • terminal with python3 and pip.
  • playwright installed: pip install playwright && playwright install-deps chromium.
  • Residential proxy (datacenter IPs are reputation-blocked regardless of browser fingerprint).
  • Optional: cloakbrowser[geoip] for automatic timezone/locale resolution from proxy exit IP.

Quick Start

bash
pip install cloakbrowser
python3 -c "
from cloakbrowser import launch
browser = launch()
page = browser.new_page()
page.goto('https://target.com')
print(page.title())
browser.close()
"

Procedure

Phase 1 — Basic Stealth Launch

The binary auto-generates a random fingerprint seed per launch. No flags needed for basic stealth:

python
from cloakbrowser import launch

browser = launch(
    headless=True,
    proxy="http://user:pass@residential-proxy:port",
    geoip=True,    # auto-detect timezone/locale from proxy exit IP
)
page = browser.new_page()
page.goto("https://target.com")
# Standard Playwright API from here
page.locator("input[name='username']").fill("test")
page.locator("button[type='submit']").click()
browser.close()

Phase 2 — Persistent Identity

Use a fixed fingerprint seed when revisiting the same target to appear as a returning visitor:

python
browser = launch(
    proxy="http://user:pass@residential-proxy:port",
    geoip=True,
    args=["--fingerprint=42069"],  # fixed seed = same fingerprint every launch
)

Phase 3 — Headed Mode for Maximum Stealth

Some sites detect headless even with C++ patches. Run headed with a virtual display:

bash
# Start virtual display
Xvfb :99 -screen 0 1920x1080x24 &
export DISPLAY=:99
python
browser = launch(
    headless=False,  # real rendering
    proxy="http://residential-proxy:port",
    geoip=True,
    humanize=True,   # human-like mouse/keyboard/scroll
)

Phase 4 — Fingerprint Customization

Override specific fingerprint values to match a target environment:

python
browser = launch(stealth_args=False, args=[
    "--fingerprint=42069",
    "--fingerprint-platform=windows",
    "--fingerprint-gpu-vendor=NVIDIA Corporation",
    "--fingerprint-gpu-renderer=NVIDIA GeForce RTX 3060/PCIe/SSE2",
    "--fingerprint-hardware-concurrency=16",
    "--fingerprint-device-memory=16",
    "--fingerprint-screen-width=2560",
    "--fingerprint-screen-height=1440",
    "--fingerprint-timezone=America/Sao_Paulo",
    "--fingerprint-locale=pt-BR",
    "--fingerprint-webrtc-ip=auto",
    "--fingerprint-noise=false",  # disable noise for FingerprintJS ML bypass
])

Phase 5 — Persistent Profile

Maintain cookies and localStorage across sessions to bypass "first-visit" challenges:

python
from cloakbrowser import launch_persistent_context

ctx = launch_persistent_context(
    "./target-profile",
    headless=False,
    proxy="http://residential-proxy:port",
    geoip=True,
)
page = ctx.new_page()
page.goto("https://target.com")
# Session persists across restarts
ctx.close()

Phase 6 — Multi-Identity via CDP Multiplexer

Run multiple browser identities from a single container using cloakserve:

bash
docker run -d --name cloak -p 127.0.0.1:9222:9222 cloakhq/cloakbrowser cloakserve
python
from playwright.sync_api import sync_playwright

pw = sync_playwright().start()

# Each unique fingerprint seed spawns separate Chrome process with independent identity
b1 = pw.chromium.connect_over_cdp("http://localhost:9222?fingerprint=11111")
b2 = pw.chromium.connect_over_cdp("http://localhost:9222?fingerprint=22222")

# Full identity control via query params
b3 = pw.chromium.connect_over_cdp(
    "http://localhost:9222?fingerprint=33333"
    "&timezone=America/New_York&locale=en-US&platform=windows"
    "&hardware-concurrency=4&device-memory=8"
)

# Each browser has independent cookies, localStorage, canvas noise

Phase 7 — Anti-Bot Font Setup

For aggressive sites (Kasada, Akamai) that check canvas emoji rendering:

bash
apt install -y fonts-noto-color-emoji fonts-freefont-ttf fonts-unifont \
    fonts-ipafont-gothic fonts-wqy-zenhei fonts-tlwg-loma-otf

For CreepJS font enumeration evasion, install Windows fonts:

bash
# Copy from Windows machine: C:\Windows\Fonts\
mkdir -p ~/.local/share/fonts/windows
cp /path/to/windows/fonts/SegoeUI*.ttf ~/.local/share/fonts/windows/
fc-cache -f

# Then launch with:
browser = launch(args=["--fingerprint-fonts-dir=/home/user/.local/share/fonts/windows"])

Fingerprint Flag Reference

FlagDefaultWhat it controls
--fingerprint=SEEDRandom 5-digitMaster seed for canvas/WebGL/audio/fonts
--fingerprint-platformwindows/macosnavigator.platform, UA OS, GPU pool
--fingerprint-gpu-vendorAutoWebGL UNMASKED_VENDOR_WEBGL
--fingerprint-gpu-rendererAutoWebGL UNMASKED_RENDERER_WEBGL
--fingerprint-hardware-concurrency8navigator.hardwareConcurrency
--fingerprint-device-memory8navigator.deviceMemory
--fingerprint-screen-width1920/1440Screen width
--fingerprint-screen-height1080/900Screen height
--fingerprint-timezoneIANA timezone
--fingerprint-localeBCP 47 locale
--fingerprint-webrtc-ipWebRTC ICE IP (auto for proxy exit IP)
--fingerprint-noise=falsetrueDisable canvas/WebGL/audio noise
--fingerprint-fonts-dirTarget platform fonts path
--fingerprint-windows-font-metricsAlign font metrics to Windows (v148+)
--fingerprint-storage-quotaAutoStorage quota in MB
--fingerprint-taskbar-height48/95/0Taskbar height spoofing

Pitfalls

  • Datacenter IPs get blocked regardless of browser fingerprint. Always use residential proxies.
  • page.wait_for_timeout() leaks CDP traffic that reCAPTCHA detects. Use time.sleep() instead.
  • Puppeteer sends more CDP traffic than Playwright. Use Playwright for reCAPTCHA-heavy targets.
  • Missing fonts cause canvas hash mismatches on Kasada/Akamai. Install the font packages listed in Phase 7.
  • --fingerprint-noise=false can cause ML-based detection on FingerprintJS. Only disable noise when specifically blocked by it.
  • Headless mode can be detected even with C++ patches. Use headed mode (headless=False) for maximum stealth on aggressive sites.
  • Binary auto-updates are cached ~24h. Pin with browser_version= if you need reproducibility.

Verification

  1. Test against https://browserscan.net — all 4 bot checks should show NORMAL.
  2. Test against https://demo.fingerprint.com/playground — should not show "nodriver" or "bot" detection.
  3. Test against reCAPTCHA v3: https://antcpt.com/eng/information/demo-form/recaptcha-3-test-score.html — score should be ≥ 0.7.
  4. Test against https://deviceandbrowserinfo.comisBot should be false with 0 true flags.
  5. Verify navigator.webdriver is false with page.evaluate("navigator.webdriver").

Related Skills

  • humanize-automation — Human-like mouse/keyboard/scroll for behavioral bypass.
  • tls-fingerprint-impersonation — TLS/JA4 fingerprint spoofing at the HTTP client level.
  • http2-header-impersonation — Browser-specific HTTP/2 pseudo-header ordering and SETTINGS frames.

Frequently asked questions

What does the Stealth Browser Launch AI skill do?

Launch stealth Chromium with C++ fingerprint patches for anti-bot bypass.

Why use Stealth Browser Launch on TypingMind?

Because you install it once and use it with any model. Stealth Browser Launch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Stealth Browser Launch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/recon/stealth-browser-launch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Stealth Browser Launch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Stealth Browser Launch?

As many as you like. As long as a model supports skills, you can use Stealth Browser Launch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Stealth Browser Launch AI skill free?

Yes. It is published on GitHub by uphiago under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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