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Show HN: OpenTrust – Browser trust signals for the AI era

OpenTrust, an open-source SDK for privacy-preserving browser trust signals, has been released on GitHub. The tool detects browser automation, virtual cameras, and replay attacks while processing all data client-side, with raw frames never leaving the device. It provides confidence scores for fraud prevention and bot mitigation but is not a replacement for KYC or server-side verification.

read2 min views1 publishedJul 23, 2026
Show HN: OpenTrust – Browser trust signals for the AI era
Image: source

Privacy-first browser trust signals for modern web applications.

OpenTrust is an open-source SDK that collects privacy-preserving browser signals to help developers estimate the trustworthiness of a browser interaction. It provides signals — not decisions — designed to be combined with authentication, device reputation, and server-side verification systems.

OpenTrust exposes browser-side trust signals through a clean TypeScript API:

Browser automation detection— webdriver flags, headless browsers, abnormal properties** Webcam integrity checks**— virtual camera detection, static/replayed video analysis** Passive liveness analysis**— face presence, motion, blink detection** Microphone integrity**— virtual mic detection, audio signal analysis

All processing is client-side. Raw frames never leave the device.

OpenTrust is designed to provide additional signals for:

  • Fraud prevention workflows
  • Risk scoring and trust estimation
  • Bot mitigation systems
  • Browser integrity checks
  • Research and experimentation
  • Developer tooling and prototypes

OpenTrust is not a replacement for:

  • KYC (Know Your Customer)
  • Identity verification
  • Enterprise liveness detection
  • Device attestation
  • Server-side fraud detection

Security is built from multiple layers. OpenTrust intentionally focuses on browser-side trust signals and should be combined with server-side verification and authentication systems. The SDK returns confidence signals — not binary "human/bot" judgments.

npm install opentrust-sdk
js
import { OpenTrust } from 'opentrust-sdk';

const result = await OpenTrust.verify({
  camera: true,
});

console.log(result.trustScore);     // 0.85
console.log(result.signals);
// {
//   faceDetected: true,
//   livenessScore: 0.72,
//   virtualCameraDetected: false,
//   browserAutomationDetected: false,
//   replayRisk: 0.12,
//   audioScore: 0.0,
//   virtualMicDetected: false
// }
Option Type Default Description
camera
boolean
false
Enable webcam checks
microphone
boolean
false
Enable microphone checks
timeout
number
15000
Max time in ms
{
  trustScore: number,         // 0.0 - 1.0
  signals: {
    faceDetected: boolean,
    livenessScore: number,
    virtualCameraDetected: boolean,
    browserAutomationDetected: boolean,
    replayRisk: number,
    audioScore: number,
    virtualMicDetected: boolean,
  },
  timestamp: number
}
npm install opentrust-react
js
import { useOpenTrust } from 'opentrust-react';

function VerificationButton() {
  const { result, , verify } = useOpenTrust();

  return (
    <button onClick={() => verify({ camera: true })} disabled={}>
      { ? 'Analyzing...' : 'Collect Trust Signals'}
    </button>
  );
}
<script src="https://cdn.jsdelivr.net/npm/opentrust-sdk@0.1.0/dist-browser/opentrust.umd.js"></script>
<script>
  const r = await OpenTrust.verify({ camera: true });
</script>
git clone https://github.com/rafaelEt/opentrust.git
cd opentrust
npm install
npm run dev

Or with Docker:

docker compose up

Visit http://localhost:3000.

Or try the live demo: https://open--trust.vercel.app

OpenTrust never uploads raw camera frames or microphone audio. All processing is client-side. See docs/privacy.md.

MIT — see LICENSE.

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