Architectural Invariant Design: WebAuthn Conditional UI Mediation, Nonce Atomicity, and Assertion Cryptographic Verification
WebAuthn Conditional UI Mediation, Nonce Atomicity, and Assertion Cryptographic Verification defines an industrial-grade behavioral standard for security engineering. Enforces zero-trust cryptographic validation for FIDO2/WebAuthn Passkey authentication with Conditional UI autofill. Requires atomic single-use challenge consumption to eliminate replay attacks, strict RP ID hash and origin binding, authenticatorData flag verification (User Presence and User Verification), and monotonic signature counter enforcement to detect authenticator cloning. 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 | Stateless challenge verification, unverified origin/RP ID, and ignored signature counters permitting passkey replay and authenticator cloning attacks. | 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:
Client implementations MUST verify `window.PublicKeyCredential && PublicKeyCredential.isConditionalMediationAvailable` before initiating `navigator.credentials.get({ mediation
Client implementations MUST verify `window.PublicKeyCredential && PublicKeyCredential.isConditionalMediationAvailable` before initiating `navigator.credentials.get({ mediation: 'conditional' })`.
Client authentication requests MUST bind an `AbortController` signal to `navigator.credentials.get` to terminate pending autofill requests on component unmount or modal transition.
Client authentication requests MUST bind an `AbortController` signal to `navigator.credentials.get` to terminate pending autofill requests on component unmount or modal transition.
Servers MUST generate cryptographically secure challenges (minimum 32 bytes from CSPRNG) and store them in an ephemeral, atomic single-use datastore with a maximum TTL of 120 seconds.
Servers MUST generate cryptographically secure challenges (minimum 32 bytes from CSPRNG) and store them in an ephemeral, atomic single-use datastore with a maximum TTL of 120 seconds.
Servers MUST atomically consume (delete) the challenge upon the very first retrieval attempt during verification
Servers MUST atomically consume (delete) the challenge upon the very first retrieval attempt during verification; verification MUST fail immediately if the challenge does not exist or has expired.
Assertion verification MUST parse and verify that `clientDataJSON.type` is strictly `'webauthn.get'` and that `clientDataJSON.origin` matches the fully qualified expected origin (including scheme, domain, and port without trailing slashes).
Assertion verification MUST parse and verify that `clientDataJSON.type` is strictly `'webauthn.get'` and that `clientDataJSON.origin` matches the fully qualified expected origin (including scheme, domain, and port without trailing slashes).
Assertion verification MUST compute SHA-256 over `clientDataJSON` and verify that the SHA-256 hash of the server's expected `rpId` matches the 32-byte `rpIdHash` in `authenticatorData`.
Assertion verification MUST compute SHA-256 over `clientDataJSON` and verify that the SHA-256 hash of the server's expected `rpId` matches the 32-byte `rpIdHash` in `authenticatorData`.
Servers MUST verify that the User Present (UP) bit (bit 0) is set to 1 in the `authenticatorData` flags, and if required by authentication policy, the User Verified (UV) bit (bit 2) MUST also be 1.
Servers MUST verify that the User Present (UP) bit (bit 0) is set to 1 in the `authenticatorData` flags, and if required by authentication policy, the User Verified (UV) bit (bit 2) MUST also be 1.
Servers MUST verify that the assertion `signature` is valid over the concatenation of `authenticatorData` and `clientDataHash` using the stored public key associated with the `credentialId`.
Servers MUST verify that the assertion `signature` is valid over the concatenation of `authenticatorData` and `clientDataHash` using the stored public key associated with the `credentialId`.
Servers MUST compare the `signCount` from `authenticatorData` against the database counter
Servers MUST compare the `signCount` from `authenticatorData` against the database counter; if `signCount > 0` or `storedSignCount > 0`, `signCount` MUST be strictly greater than `storedSignCount`, otherwise the credential MUST be revoked as a suspected cloned authenticator.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is WebAuthn Conditional UI Mediation, Nonce Atomicity, and Assertion Cryptographic Verification critical for AI coding assistants?
Enforces zero-trust cryptographic validation for FIDO2/WebAuthn Passkey authentication with Conditional UI autofill. Requires atomic single-use challenge consumption to eliminate replay attacks, strict RP ID hash and origin binding, authenticatorData flag verification (User Presence and User Verification), and monotonic signature counter enforcement to detect authenticator cloning. 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 (Stateless challenge verification, unverified origin/RP ID, and ignored signature counters permitting passkey replay and authenticator cloning attacks.) 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.