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Detection Signals

We analyze over 100+ signals including:
  • window.webdriver (Selenium)
  • window.__nightmare (Nightmare.js)
  • window.callPhantom (PhantomJS)
  • window._phantom (PhantomJS)
  • Canvas fingerprinting inconsistencies
  • WebGL parameters mismatches
  • Font rendering differences
  • Nonstandard object properties
  • Missing navigator properties
  • Absent window.chrome (for Chrome)
  • navigator.webdriver === true
  • Missing navigator.plugins
  • Incorrect navigator.languages
  • Too-fast script execution
  • Unrealistic mouse movements
  • Missing interaction entropy

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Bot Handling

Once a bot is detected, the system responds based on threat level:
  1. Harmful or high-volume traffic (e.g., DDoS and abusive bots) is blocked immediately, metrics collection is deprioritized in these cases to prevent system overload.
  2. Sophisticated, human-like bots are flagged for review and redirected away from the destination.
  3. Standard detected bots have the visit recorded as a metric and are redirected away from the destination.

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Analytics & Visualization

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Free & Starter Plans

Users on Free/Starter plans see:
  • Total bot click count
  • Bot ratio (%)
  • Limited link-level analysis

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Growth & Scale Plans (or 5K+ Tokens)

Full access to:
  • Real vs Bot Traffic Pie Chart
  • Geographic Heatmap (bot origins by country)
  • Link-Level Analysis Table (sortable, searchable)
  • Top Bot Sources (device/OS/browser breakdown)

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1. Behavioral Heuristics

Planned Checks:
  • Click Velocity: >10 clicks/sec from same fingerprint
  • Geographic Anomalies: Impossible travel speeds
  • Referrer Patterns: Known scraper referrers

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2. Real-Time Threat Feed

Integration: Partner with threat intelligence providers
Capability: Block known bad IPs, ASNs, and bot networks
Update Frequency: Real-time via WebSocket

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3. CAPTCHA Integration

Trigger: Suspicious clicks