Browser bot detection
Identify bot overlays in
payment authorization pages
Lightweight JS that distinguish genuine
human sessions from automated scripts
Automation Frameworks
Tools like Puppeteer, Playwright, Selenium, and PhantomJS can emulate full browser engines while hiding typical “headless” indicators
Browser Profile Spoofing
Bots mimic common user-agent strings, canvas fingerprints, and plugin lists to blend in with legitimate users
Human-Like Input Simulation
Advanced bots randomize mouse movements, touch events, scrolling, and keystroke timings to defeat basic behavioral checks.
Fraud Rings
Large bot networks rotate IP addresses, use residential proxies, and vary browser contexts to evade IP-based rate limits and fingerprint blacklists.
How Sense identifies bot behaviour
Deep Browser Environment Profiling
Detects inconsistencies such as missing browser APIs, blocked IPs, or
abnormal canvas rendering artifacts indicative of headless contexts
abnormal canvas rendering artifacts indicative of headless contexts
Behavioral Interaction Analysis
Instruments page events to capture micro-movements: mouse jitter,
scroll inertia, viewport focus changes, and touch pressure variation
scroll inertia, viewport focus changes, and touch pressure variation
Timing & Execution Anomaly Checks
Measures JavaScript execution timing across critical APIs (e.g., Date.now,
performance.now) to detect headless browser speed-ups or sandboxed delays
performance.now) to detect headless browser speed-ups or sandboxed delays
Network & Proxy Intelligence
Tracks session IP churn rate and geolocation shifts; legitimate users
rarely change IP addresses multiple times within seconds
rarely change IP addresses multiple times within seconds