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@axiomify/fingerprint

v6.3.3

Published

Server-side request fingerprinting for Axiomify — confidence-scored client identification from headers, IP, and TLS hints.

Readme

@axiomify/fingerprint

npm version codecov OpenSSF Scorecard License: MIT

Server-side request fingerprinting for Axiomify. Generates a deterministic hash per request from IP, headers, and path for bot detection, fraud prevention, and session anomaly detection.

Note: This is a server-side fingerprint for request correlation — not a replacement for client-side anti-fraud platforms like Fingerprint Pro. It operates entirely on HTTP headers and cannot access browser APIs.

Install

npm install @axiomify/fingerprint

Quick start

import { useFingerprint } from '@axiomify/fingerprint';

useFingerprint(app, {
  includeIp: true,
  includePath: false, // false = fingerprint is path-agnostic (good for session tracking)
  additionalHeaders: ['x-device-id', 'x-app-version'],
  trustProxyHeaders: true, // use X-Forwarded-For when behind a proxy
});

After this hook runs, every request has:

req.state.fingerprint; // string  — SHA-256 hex digest
req.state.fingerprintData; // object  — inputs that produced the hash
req.state.fingerprintConfidence; // number — 0–98 weighted confidence score

Options

| Option | Type | Default | Description | | ------------------- | ---------- | ---------- | --------------------------------------------------------------------- | | algorithm | string | 'sha256' | Hash algorithm ('sha256', 'sha512', 'md5'). | | salt | string | '' | HMAC salt — set this to a stable secret to prevent pre-image attacks. | | includeIp | boolean | true | Include client IP in the hash. | | includePath | boolean | false | Include request path. Disable for cross-path session correlation. | | additionalHeaders | string[] | [] | Extra request headers to include in the hash (lowercase). | | trustProxyHeaders | boolean | false | Use X-Forwarded-For for IP extraction behind a proxy. |

Confidence score

The confidence score (0–98) estimates how stable the fingerprint is across requests from the same client:

| Score range | Meaning | | ----------- | ----------------------------------------------- | | 80–98 | High confidence — IP + multiple headers matched | | 50–79 | Medium — some headers missing or dynamic | | 0–49 | Low — only 1–2 signals available |

Usage in rate limiting and bot detection

import { useFingerprint } from '@axiomify/fingerprint';
import { createRateLimitPlugin } from '@axiomify/rate-limit';

useFingerprint(app, { includeIp: true });

// Rate limit by fingerprint instead of raw IP (harder to bypass with IP rotation)
const limiter = createRateLimitPlugin({
  store: redisStore,
  windowMs: 60_000,
  max: 100,
  keyGenerator: (req) => req.state.fingerprint ?? req.ip,
});

Accessing fingerprint in handlers

app.route({
  method: 'POST',
  path: '/auth/login',
  handler: async (req, res) => {
    const { fingerprint, fingerprintConfidence } = req.state;

    if (fingerprintConfidence < 30) {
      // Very low confidence — unusual client, may want extra verification
    }

    await auditLog.write({
      fingerprint,
      userId: req.body.email,
      event: 'login',
    });
    res.send({ ok: true });
  },
});