Architectural Invariant Design: WebAuthn Level 3 PRF Salted Client Assertion & Device-Bound Token Invariant
WebAuthn Level 3 PRF Salted Client Assertion & Device-Bound Token Invariant defines an industrial-grade behavioral standard for security engineering. Enforces hardware-backed session binding using WebAuthn Level 3 Pseudo-Random Function (PRF) extension outputs to derive symmetric cryptographic keys directly on the client. Prevents session hijacking, stolen cookie replay, and token exfiltration by requiring all authenticated application requests to carry an ephemeral assertion signed by keys derived from authenticator-evaluated salts. 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 | Bearer Token Decoupling from Hardware PRF Roots and Unsalted Client Assertion Generation | 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 supply a cryptographically random, server-originated salt (minimum 32 bytes) when evaluating the `navigator.credentials.get` PRF extension.
Engineers MUST ALWAYS supply a cryptographically random, server-originated salt (minimum 32 bytes) when evaluating the `navigator.credentials.get` PRF extension.
Engineers MUST derive symmetric signing keys using standard Key Derivation Functions (e.g., HKDF-SHA-256) over the raw authenticator PRF output combined with an ephemeral session context.
Engineers MUST derive symmetric signing keys using standard Key Derivation Functions (e.g., HKDF-SHA-256) over the raw authenticator PRF output combined with an ephemeral session context.
Engineers MUST NOT persist raw PRF outputs or derived master symmetric keys in non-ephemeral client storage (`localStorage`, `IndexedDB`, or cookies).
Engineers MUST NOT persist raw PRF outputs or derived master symmetric keys in non-ephemeral client storage (`localStorage`, `IndexedDB`, or cookies).
Services MUST verify both the WebAuthn assertion signature and the PRF-derived proof-of-possession (PoP) signature over the HTTP method, URI, timestamp, and payload hash.
Services MUST verify both the WebAuthn assertion signature and the PRF-derived proof-of-possession (PoP) signature over the HTTP method, URI, timestamp, and payload hash.
Components NEVER accept static or unsigned session bearer tokens for privileged operations once the client has negotiated a PRF-capable authenticator credential.
Components NEVER accept static or unsigned session bearer tokens for privileged operations once the client has negotiated a PRF-capable authenticator credential.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is WebAuthn Level 3 PRF Salted Client Assertion & Device-Bound Token Invariant critical for AI coding assistants?
Enforces hardware-backed session binding using WebAuthn Level 3 Pseudo-Random Function (PRF) extension outputs to derive symmetric cryptographic keys directly on the client. Prevents session hijacking, stolen cookie replay, and token exfiltration by requiring all authenticated application requests to carry an ephemeral assertion signed by keys derived from authenticator-evaluated salts. 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 (Bearer Token Decoupling from Hardware PRF Roots and Unsalted Client Assertion Generation) 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.