Verify stealth capabilities against bot detection systems
masterThe stealth-browser-mcp project is designed to bypass industry-standard bot detection systems. You can verify its effectiveness by testing it against the following major detection vectors:
- Cloudflare Challenge: Bypasses JavaScript challenges, TLS fingerprinting, and behavioral analysis (e.g.,
nowsecure.nl). - CreepJS Fingerprint Analysis: Maintains a 0% detection rate for both 'Headless' and 'Stealth' flags by providing consistent hardware (GPU, RAM), platform, and WebRTC fingerprints.
- Sannysoft Bot Detection: Passes all 20 standard detection tests, including
PHANTOM_UA,SELENIUM_DRIVER, andCHR_DEBUG_TOOLS. - Intoli Headless Detection: Successfully masks WebDriver presence and provides consistent WebGL, plugin, and permission profiles.
- Platform Login Walls: Capable of bypassing aggressive login walls and CAPTCHA integrations (like Arkose Labs) on major platforms such as X.com (Twitter) to scrape data behind modals.