Architectural Invariant Design: WebAuthn PRF Client-Side Zero-Knowledge Storage Invariant
WebAuthn PRF Client-Side Zero-Knowledge Storage Invariant defines an industrial-grade behavioral standard for security engineering. Enforces zero-knowledge local storage encryption derived via WebAuthn PRF (Pseudo-Random Function) extension hardware seeds. Mandates transient in-memory derivation, strict domain separation via HKDF, total prevention of PRF output leakage to backend servers, and non-extractable CryptoKey management. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Transmitting WebAuthn PRF output to backend authentication endpoints and caching derived raw keys in persistent browser storage | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS strip and sanitize `clientExtensionResults.prf` from authentication assertion payloads before transmitting assertion responses to relying party servers.
Engineers MUST ALWAYS strip and sanitize `clientExtensionResults.prf` from authentication assertion payloads before transmitting assertion responses to relying party servers.
Engineers MUST ALWAYS process the raw PRF byte output as an input key material (IKM) through HKDF-SHA256 with explicit domain separation context before generating AES-GCM symmetric encryption keys.
Engineers MUST ALWAYS process the raw PRF byte output as an input key material (IKM) through HKDF-SHA256 with explicit domain separation context before generating AES-GCM symmetric encryption keys.
Engineers MUST NEVER persist the derived encryption keys, PRF seeds, or raw intermediate buffers to Web Storage (`localStorage`, `sessionStorage`), IndexedDB, or OPFS.
Engineers MUST NEVER persist the derived encryption keys, PRF seeds, or raw intermediate buffers to Web Storage (`localStorage`, `sessionStorage`), IndexedDB, or OPFS.
Code MUST instantiate the derived cryptographic key with `extractable
Code MUST instantiate the derived cryptographic key with `extractable: false` using the Web Cryptography API (`crypto.subtle`).
Services MUST zero-fill transient raw memory buffers (`Uint8Array.prototype.fill(0)`) immediately after importing them into the Web Crypto subsystem.
Services MUST zero-fill transient raw memory buffers (`Uint8Array.prototype.fill(0)`) immediately after importing them into the Web Crypto subsystem.
Components NEVER fall back to unauthenticated or unencrypted storage when the authenticator lacks PRF extension support
Components NEVER fall back to unauthenticated or unencrypted storage when the authenticator lacks PRF extension support; an explicit unsupported hardware error must be raised.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is WebAuthn PRF Client-Side Zero-Knowledge Storage Invariant critical for AI coding assistants?
Enforces zero-knowledge local storage encryption derived via WebAuthn PRF (Pseudo-Random Function) extension hardware seeds. Mandates transient in-memory derivation, strict domain separation via HKDF, total prevention of PRF output leakage to backend servers, and non-extractable CryptoKey management. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Transmitting WebAuthn PRF output to backend authentication endpoints and caching derived raw keys in persistent browser storage) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.