Architectural Invariant Design: Passkey Conditional Mediation Cross-Origin Downgrade Fencing & RP Binding Invariant
Passkey Conditional Mediation Cross-Origin Downgrade Fencing & RP Binding Invariant defines an industrial-grade behavioral standard for security engineering. Enforces cryptographic and architectural fencing for WebAuthn autofill (conditional mediation) flows to prevent relying-party origin reflection vulnerabilities. Verifies that the clientDataJSON origin and authenticatorData rpIdHash match immutable, cryptographically sealed whitelists rather than trusting incoming HTTP headers or permissive cross-origin delegations. 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 | Reflecting Dynamic HTTP Origin/Host Headers into WebAuthn Assertion RP Verification | 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 match clientDataJSON.origin against an immutable, hardcoded or environment-sealed set of fully qualified canonical origins.
Engineers MUST ALWAYS match clientDataJSON.origin against an immutable, hardcoded or environment-sealed set of fully qualified canonical origins.
Engineers MUST NEVER reflect `req.headers.origin`, `req.headers.host`, or `X-Forwarded-Host` into the `expectedOrigin` or `expectedRPID` verification parameters.
Engineers MUST NEVER reflect `req.headers.origin`, `req.headers.host`, or `X-Forwarded-Host` into the `expectedOrigin` or `expectedRPID` verification parameters.
Code SHOULD inspect the `crossOrigin` boolean in `clientDataJSON` and explicitly reject assertion responses where `crossOrigin === true` unless multi-domain iframe delegation is cryptographically authorized and structurally isolated.
Code SHOULD inspect the `crossOrigin` boolean in `clientDataJSON` and explicitly reject assertion responses where `crossOrigin === true` unless multi-domain iframe delegation is cryptographically authorized and structurally isolated.
Services MUST verify that `authenticatorData.rpIdHash` matches the SHA-256 hash of the canonical RP ID (e.g., `crypto.subtle.digest('SHA-256', canonicalRpId)`).
Services MUST verify that `authenticatorData.rpIdHash` matches the SHA-256 hash of the canonical RP ID (e.g., `crypto.subtle.digest('SHA-256', canonicalRpId)`).
Components NEVER trigger `navigator.credentials.get({ mediation
Components NEVER trigger `navigator.credentials.get({ mediation: 'conditional' })` inside untrusted, cross-origin, or un-sandboxed iframes lacking explicit `publickey-credentials-get` Feature-Policy / Permissions-Policy declarations.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Passkey Conditional Mediation Cross-Origin Downgrade Fencing & RP Binding Invariant critical for AI coding assistants?
Enforces cryptographic and architectural fencing for WebAuthn autofill (conditional mediation) flows to prevent relying-party origin reflection vulnerabilities. Verifies that the clientDataJSON origin and authenticatorData rpIdHash match immutable, cryptographically sealed whitelists rather than trusting incoming HTTP headers or permissive cross-origin delegations. 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 (Reflecting Dynamic HTTP Origin/Host Headers into WebAuthn Assertion RP Verification) 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.