implementing-zero-knowledge-proof-for-authentication

Implements Schnorr identification and Fiat-Shamir zero-knowledge proofs for passwordless authentication.

954|172|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/xalgord/xalgorix --skill implementing-zero-knowledge-proof-for-authentication
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implementing-zero-knowledge-proof-for-authentication
Source: https://github.com/xalgord/xalgorix/tree/main/internal/tools/skills/data/cryptography/implementing-zero-knowledge-proof-for-authentication
Command: npx skills add https://github.com/xalgord/xalgorix --skill implementing-zero-knowledge-proof-for-authentication

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traditional password authentication requires the server to receive or store secrets, exposing them to breaches and replay attacks. This Skill implements Zero-Knowledge Proof authentication so a prover can demonstrate knowledge of a secret without ever revealing it to the verifier.

Core Features & Use Cases

  • Schnorr Identification Protocol: Implements the full commit-challenge-response flow (t = g^r, challenge c, response s = r + c*x) using the discrete logarithm problem.
  • Non-Interactive Proofs: Builds Fiat-Shamir transformed proofs where the challenge is derived from hashing the full transcript, enabling offline verification.
  • Zero-Knowledge Password Proof (ZKPP): Demonstrates password verification where the server never learns or stores the password.
  • Use Case: A security engineer building an authentication system can use this Skill to prototype ZKP-based login, then validate completeness, soundness, and replay resistance before production deployment.

Quick Start

Implement a Schnorr zero-knowledge proof authentication demo in Python and verify that an honest prover succeeds while a forged response fails.

Frequently Asked Questions about implementing-zero-knowledge-proof-for-authentication

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement zero-knowledge proof authentication in Python?

Implement the Schnorr protocol: register a public key y = g^x mod p, send commitment t = g^r mod p, answer the verifier's challenge c with s = r + c*x mod q, and verify g^s == t * y^c mod p. Use a CSPRNG for r and never reuse it.

What is the Schnorr identification protocol?

The Schnorr protocol is an interactive zero-knowledge proof where a prover demonstrates knowledge of a discrete logarithm x without revealing it. It uses a three-move commit-challenge-response exchange based on the hardness of the discrete logarithm problem.

How does the Fiat-Shamir heuristic make ZKP non-interactive?

Fiat-Shamir replaces the verifier's random challenge with a hash of the full transcript, c = H(g, y, t, msg), producing a non-interactive proof verifiable offline. The hash must be collision-resistant and include the public key and commitment to prevent forgery.

Why does nonce reuse break Schnorr zero-knowledge proofs?

Reusing the commitment randomness r across two challenges leaks the secret via x = (s1 - s2)/(c1 - c2). Generate r from a cryptographically secure random number generator for every proof and confirm two runs produce different t values.

Does zero-knowledge proof authentication prevent replay attacks?

Not by itself; a captured transcript can be replayed unless the proof binds to a fresh server-supplied nonce or message. Include a unique challenge per session and reject duplicate transcripts to resist replay.

What are the limitations of ZKP authentication?

ZKP authentication alone does not provide forward secrecy and must be combined with TLS for transport protection. It also requires careful group parameter selection, including safe primes and prime-order subgroups, to avoid small-subgroup attacks.