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Etuge Anselm for Dakidarts

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Discover The Device Fingerprint & Bot Detection API

#api #rapidapi #dakidarts #cybersecurity

Detect unique device/browser fingerprints and identify potential bots or automated tools.
Support POST (JSON body) requests.

Device Fingerprint & Bot Detection API

Base URL 

device-fingerprint-bot-detection-api.p.rapidapi.com
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Endpoint

🔹 POST /fingerprint

Generates a fingerprint from custom JSON input.
Supports both snake_case and camelCase keys.

Request Body (JSON)

  • user_agent or userAgent (string, optional) → Browser User-Agent.
  • ip (string, optional) → Client IP address (defaults to request’s remote address).
  • headers (object, optional) → Custom headers dictionary.

Example 

curl -X POST http://127.0.0.1:5000/fingerprint \ -H "Content-Type: application/json" \ -d '{ "userAgent": "Mozilla/5.0 (X11; Linux)", "ip": "203.0.113.9", "headers": {"X-Test-Header":"boom"} }'
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Response 

{ "fingerprint": "2c9e2a54d6a5f0f6f83b4a88964b94f84b309c1e17c2d4f31cbf10c0f5a1c123", "ip": "203.0.113.9", "user_agent": "Mozilla/5.0 (X11; Linux)", "risk": { "risk_score": 0, "risk_level": "low", "reasons": [] } }
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🔍 Risk Detection

Risk score is computed using heuristic rules:

  • Missing User-Agent → +40
  • Suspicious UA keywords (headless, puppeteer, selenium, etc.) → +50
  • AJAX automation header (X-Requested-With: XMLHttpRequest) → +20
  • Proxy headers (X-Forwarded-For, CF-Connecting-IP) → flagged in reasons

Risk Levels

  • low → 0–29
  • medium → 30–69
  • high → 70+

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