BlockABot detects automated traffic using multiple detection layers including fingerprint analysis, behavioral scoring, and automation detection.
Detects headless browsers such as Headless Chrome and PhantomJS used by scraping tools and automation frameworks.
Detects browser automation frameworks including Selenium, WebDriver, and Phantom automation environments.
Identifies known bot frameworks including Scrapy, HTTP clients, and scripting environments.
Uses canvas rendering differences to identify automated browsers and detect headless environments.
Detects software GPU rendering engines such as SwiftShader commonly used by headless browsers.
Analyzes timezone, screen resolution, plugins, language settings, and hardware capabilities.
Detects abnormal request patterns and high-frequency traffic often associated with scraping bots.
Identifies traffic originating from cloud hosting providers frequently used by automated bots.
Detects suspicious navigation patterns and non-human browsing behavior.
Visitors must execute JavaScript before accessing protected content. Bots that do not run JS are blocked immediately.
Hidden links detect automated crawlers that attempt to access non-visible content.
Each visitor receives a bot score based on multiple signals including automation indicators and fingerprint anomalies.
All traffic is logged including fingerprint signals, bot scores, and request metadata.
Identify top attacking IPs, suspicious fingerprints, and bot behavior patterns.
View bot activity across your sites and monitor traffic patterns in real time.