Welcome to the next level of security and user integrity! This Advanced Bot Detection method provides a robust, lightweight, and efficient solution to identify and flag automated bots while preserving a seamless experience for genuine human users.
Real-Time Interaction Monitoring: Tracks mouse movements, keystrokes, scroll behavior, and timing to detect patterns indicative of automated bots.
Sophisticated Behavioral Analysis: Combines heuristic-based detection with advanced algorithms to analyze straight-line cursor paths, uniform scrolling patterns, and overly consistent typing intervals.
Dynamic Honeypot Traps: Employs invisible input fields placed off-screen with randomized positions to lure bots into revealing their presence—without impacting human users.
Customizable & Flexible Scoring: Adjust thresholds for various interactions to tailor the detection sensitivity for your application.
Integrated Fingerprinting Technology: Gathers basic browser and device information (user agent, language, platform, and screen resolution) for enhanced anomaly detection.
Non-Intrusive Design: Unlike traditional CAPTCHA methods, this script works silently in the background, ensuring a smooth user experience for humans while targeting bots.
Extensibility:
Easily integrates with existing systems, providing event hooks for both bot and human detections (captchaguard_isBot and captchaguard_isHuman).
Lightweight & Efficient: Optimized for performance, this script runs seamlessly without hogging resources or slowing down your website.
Mouse Path Analysis: Detects suspiciously linear cursor movements.
Scroll Anomaly Detection: Flags scripted scrolling with uniform deltas.
Keystroke Dynamics: Identifies overly consistent typing patterns.
Random Honeypot Generation: Continuously creates traps to outsmart bots.
Custom Event Dispatching: Send real-time bot or human detection results for further action.
This script leverages multiple layers of advanced detection:
Pattern Matching: Identifies known bot user agents.
Behavioral Tracking: Monitors interaction patterns like timing, angles, and variances.
Score-Based Analysis: Combines all signals into a single botScore to determine bot likelihood.
Each interaction is processed in real-time, and detection events provide detailed insights, including timestamps, user agents, platform, and more!
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