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Detection result: normal

Webdriver

Webdriver

CDP

CDP

User-Agent

User-Agent

Navigator

Navigator

Bot threat protection

Fingerprinting combined with bot detection effectively combats online fraud, achieving optimal results when working together.

Chrome DevTools Protocol detection

Detects whether developer tools or protocols are used to simulate browser control.

Navigator

Checks if Navigator properties have been tampered with to prevent plugins or bots from disguising the browser.

Bot detection guide

This detection mechanism identifies the presence of automated activity within browsers or scripts.By analyzing attributes such as browser fingerprinting, JavaScript execution capabilities, WebRTC status, Canvas rendering patterns, Navigator object properties, and plugin information,the system can determine whether the current access environment is operated by automated tools or by genuine human users.Currently, major human verification systems, including Cloudflare Turnstile, Google reCAPTCHA, and hCaptcha,integrate similar detection mechanisms.They perform an implicit assessment of visitors without requiring any additional action from the user.

Detection Result Classification

1. Good Bots

These are typically verified, reputable automated clients, such as:Search engine crawlers: Googlebot, Bingbot, Baiduspider, etc., used for web scraping and indexing;Monitoring tools: e.g. Pingdom, UptimeRobot, ensuring site availability and performance tracking;Compliant data scraping services: Adhere to robots.txt protocols and clearly identify themselves in User-Agent.Although automated, these bots are website-friendly with regulated behavior and controlled request frequency.

2. Malicious Bots

These bots are typically controlled by blackhat operators, script developers, or attackersMay disguise themselves as browser usersCommon characteristics include:Using automation tools like Selenium, Puppeteer, or PlaywrightSimulating user behaviors like mouse clicks, keyboard inputs, form submissionsBypassing security measures like login authentication and CAPTCHAsEngaging in account takeover, credential stuffing, content scraping, price scraping, ad fraud, DDoS, etc.Even when User-Agent is spoofedTheir behavioral patterns, TLS fingerprints, and JavaScript properties may still reveal automation traits

3. Human / Unknown

This type of visitor exhibits "non-bot" behavior:\Uses common browsers (Chrome, Safari, Firefox, Edge, etc.);\Capable of executing JavaScript and supports Cookies & Storage;\Exhibits natural browsing patterns, diverse interaction paths, and reasonable intervals.\These users are typically regular visitors. The system detects no abnormal automated characteristics, hence classified as "No bots detected"

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