ZK Module (zkTLS)

Verify Data from Any Website Using Zero-Knowledge TLS

The ZK Module enables zero-knowledge proofs over TLS-encrypted web sessions. When a user visits any website, the TLS protocol encrypts the connection. The ZK Module creates cryptographic proofs of specific data within that encrypted session without revealing anything else.

How zkTLS Works

  1. TLS Session Capture. When a user accesses a website (e.g., uber.com, amazon.com, linkedin.com), the browser establishes a TLS-encrypted connection. The ZK Module captures the relevant portion of this session.

  2. Selective Disclosure. The user specifies which claim they want to prove (e.g., "my Uber rating is above 4.5"). The ZK Module extracts only the relevant data point from the TLS session.

  3. Proof Generation. A zero-knowledge proof is generated that attests to the claim without revealing the underlying data, the session details, or any other information from the website.

  4. On-Chain Verification. The proof is submitted to XION and verified by the protocol. If valid, an on-chain attestation is created that any smart contract can query.

What Can Be Verified

The ZK Module can verify data from any website that serves content over TLS (HTTPS), which covers virtually the entire internet. Examples include:

Identity & Reputation

  • Social media follower counts and engagement metrics

  • Platform ratings (Uber, Airbnb, DoorDash)

  • Professional credentials (LinkedIn job titles, tenure)

  • Forum reputation scores

Financial

  • Bank balance above/below thresholds (without exact amounts)

  • Investment account existence and type

  • Credit score ranges

  • Transaction history patterns

Commerce

  • Purchase history from specific retailers

  • Subscription status and tier

  • Loyalty program membership and level

  • Review and feedback history

Membership & Access

  • Website account existence

  • Subscription tier verification

  • Geographic eligibility (based on account region settings)

  • Age verification from authenticated accounts

Security Model

  • User-side proof generation. Raw data never leaves the user's device. The proof is generated locally.

  • Non-transferable proofs. Proofs are bound to the user's XION account and cannot be reused by another party.

  • Tamper-proof. The mathematical properties of zero-knowledge proofs guarantee that the user cannot fabricate a proof for a claim that is not true.

  • Privacy-preserving. The verifier (your application) learns nothing beyond the specific claim. No session data, no cookies, no browsing history, no account details are exposed.

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