Piloterr: Anti Bots Checker

Anti Bots Checker is a professional tool designed to help developers, analysts, and technical teams understand the visible protection layers that websites use to secure their traffic. Modern websites rely on a wide range of anti-bot solutions, challenge mechanisms, browser fingerprinting techniques, and Web Application Firewalls (WAFs). This extension analyzes these elements from the perspective of the browser and displays a clear, structured overview of what is detected. Anti Bots Checker does not circumvent, modify, or interfere with any security system. Its purpose is purely informational and educational. Many websites rely on well-known anti-bot providers. These systems use techniques such as browser validation, JavaScript challenges, environment checks, or network-level filtering. As part of this analysis, Anti Bots Checker may identify popular anti-bot ecosystems such as Akamai’s bot management tools, Cloudflare’s bot defense features, DataDome’s behavioral checks, PerimeterX’s protection layers, Incapsula’s traffic screening, Reblaze’s security gateway mechanisms, or F5’s advanced access and bot detection systems. When such technologies appear through browser-visible signals, Anti Bots Checker highlights them in an easy-to-read format. Websites frequently rely on challenge-response systems to differentiate between human visitors and automated processes. Anti Bots Checker can detect when a site uses widely deployed CAPTCHA mechanisms such as Google reCAPTCHA, hCaptcha, or FunCaptcha (also known as Arkose). It may also identify challenges originating from GeeTest or verification methods used in Cloudflare Turnstile. The extension does not solve these challenges; it simply recognizes their presence so developers can better understand the user flow. Beyond basic bot filtering, many websites use Web Application Firewalls (WAFs) to inspect requests, enforce security policies, or block suspicious patterns. When signals are visible in the browser, Anti Bots Checker can indicate the potential involvement of services like AWS WAF, Cloudflare WAF, Sucuri’s protection stack, or Imperva’s application-layer filters. This provides valuable context for engineers analyzing the structure or reliability of a site’s protection posture. Some websites assess the authenticity of a visitor by evaluating browser characteristics. Anti Bots Checker highlights when fingerprinting-related activity is observed, including tests based on Canvas rendering, WebGL capabilities, AudioContext behavior, or font enumeration. These signals provide insight into how a website evaluates a user’s device, environment, and consistency.