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Device fingerprint

As explained in Secure APIs

A device fingerprint is a set of observable device and software characteristics used to distinguish or associate a client device.

A device fingerprint identifies or associates a client by recording device-related request details. It helps reveal whether unusual endpoint traffic comes from one client, user, region, or coordinated source. section 11.6

Use a device fingerprint to make endpoint-abuse responses more precise:

  • Capture it with the client IP and, for authenticated endpoints, the user ID. section 11.6
  • Analyze request levels by user, IP, device fingerprint, and region to establish reasonable thresholds. section 11.6
  • Rate-limit clients that exceed thresholds and consider blacklisting persistent offenders. section 11.6

Protected order endpoint

For POST /orders, record the request’s client details alongside the authenticated user. Comparing these records over time can distinguish a single abusive client from a general traffic spike. section 11.6

How Secure APIs covers it

How deep it goes
Explains logging, analysis, thresholds, and mitigation, but does not specify how fingerprints are generated.
Examples
Uses protected order requests and repeated user-search calls as concrete abuse-monitoring scenarios.
What it assumes
Assumes request logging and continuous analysis, while treating authenticated user identity as an available additional signal.
What you can do after
Diagnose endpoint abuse with device-level request patterns and apply targeted rate limits or blacklists.
How it connects
Links device fingerprints with IP addresses, geolocation, user identity, rate limiting, blacklisting, and endpoint-abuse detection.

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This explainer was generated by Manning's knowledge graph from the text of Secure APIs. The section links point to the parts of the book it draws on.