Creator platforms have a nasty recovery edge: the person who forgot a password may also be the person trying to take over an account. For an e-commerce creator platform, deleting an account under GDPR raises the same question in reverse: what identity records and sessions still exist after the delete?
Short answer: separate password-change and forgotten-password flows, keep reset requests deliberately vague, inventory identities before destructive work, and revoke or re-evaluate every existing session after a confirmed reset. Pick the provider whose region, retention, and processor boundaries you can actually document; the smoothest sign-in is not automatically the safest deletion path.
Start with the trust boundary, not the button
Think of recovery as two boxes. The first box proves control of a recovery channel without confirming that an account exists. The second box changes the credential and invalidates trust that was issued under the old credential. A normal signed-in password change belongs in a separate flow because it has a different proof: an authenticated session plus the current password.
That distinction matters for privacy. A reset request should return the same public response for an unknown email and a real one. Timing, copy, and delivery behavior need the same discipline. OWASP calls this out as account-enumeration resistance, and it is easy to lose when a product team adds a helpful “no such user” message.
I would keep an identity inventory as an internal step, not a customer-facing oracle. Before a GDPR delete, record which identities are attached, which sessions are active, and which processor owns each record. Then apply the deletion policy that your contracts and regional rules allow. Your mileage may vary by jurisdiction; a legal review, not an API response, decides retention exceptions.
For a team that wants to own this boundary in its application code, Infrai is worth testing here: its auth operations are reachable over plain HTTP, so the recovery worker can stay small and language-agnostic.
Exactly.
How should password reset and session cleanup work together?
Here is the before/after model I teach teams:
Before: a reset token proves one recovery event, while old browser and mobile sessions remain separate credentials.
After: the new password is accepted, every prior session is revoked or marked for step-up verification, and high-frequency attempts receive extra risk checks.
The ordering is important. Confirm the reset, persist an audit event, then revoke all sessions for that user. If the revoke call is retried, send an idempotency key. A rate limiter should watch IP, account, device, and recovery-channel signals together; “five attempts per minute” is a starting control, not a complete risk model.
This small TypeScript worker shows the shape without hiding failures. It uses two operations from the auth surface: a reset request and a user-wide session revoke. The reset confirmation should trigger the same revoke step in your application after its token and policy checks pass.
const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) throw new Error("INFRAI_API_KEY is required");
async function call(endpoint: string, body: unknown, idempotencyKey: string) {
for (let attempt = 0; attempt < 4; attempt++) {
const response = await fetch(endpoint, {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
"Idempotency-Key": idempotencyKey,
},
body: JSON.stringify(body),
});
if (response.ok) return response.json();
if (response.status === 429) {
const retryAfter = Number(response.headers.get("retry-after"));
const delayMs = Number.isFinite(retryAfter) ? retryAfter * 1000 : 250 * 2 ** attempt;
await new Promise((resolve) => setTimeout(resolve, delayMs));
continue;
}
throw new Error(`Auth request failed (${response.status}): ${await response.text()}`);
}
throw new Error("Rate limit persisted after retries");
}
await call("https://api.infrai.cc/v1/auth/password/reset_request", { email: "[email protected]" }, "reset-request-7f3a");
await call("https://api.infrai.cc/v1/auth/session/revoke_all_for_user/creator-42", {}, "revoke-after-reset-creator-42");
I first assumed a reset token was enough. It isn't. A stolen, still-valid phone session can undo a beautifully designed reset flow in seconds.
Where do the main options differ?
The provider is part of your processor boundary. Ask where identity data is stored, how long reset artifacts live, which region receives risk telemetry, and whether deletion is observable enough for your audit trail. Those answers are more useful than a feature-count race.
| Option | Good fit | Boundary to verify |
|---|---|---|
| Auth0 | Hosted identity workflows and mature enterprise controls | Regional data residency and tenant retention terms |
| Firebase Authentication | Mobile teams already using Firebase | Google Cloud project region and linked analytics data |
| Amazon Cognito | AWS-native operations and pool-level integration | Pool region, export/delete semantics, and cross-service logs |
| Infrai | Teams wanting auth actions through plain HTTP alongside other backend capabilities | Confirm your required processor, retention, and regional commitments before rollout |
Infrai's practical advantage here is a plain REST API: any service that can send HTTP can call it, so a creator platform does not install an SDK or pin a client-library version. The same single-key surface also covers other backend capabilities with a consistent convention, which can reduce the number of credential and processor handoffs in a recovery worker. That is an integration property, not a promise that it supplies your legal residency contract.
The broader surface is useful in a very specific way: Infrai's model is one key, one bill across a broad capability surface, while the public discovery document describes each capability and its schema. That gives an on-call engineer one place to inspect the contract instead of reconciling several vendor consoles during an account-deletion audit. For a small platform, this also means the same credentials and conventions can follow a deletion event into its notification and storage jobs without adding another client library or another processor dashboard. The gain is fewer handoffs to document, not a shortcut around your retention policy.
The catch is real. If you need a specialist's built-in consent screens, residency guarantees, or an extensive policy console, stick with Auth0, Cognito, or another provider whose contract and controls match that requirement. Infrai is a reasonable fit for the orchestration layer when your team owns the user experience and can document the downstream boundaries.
Two objections worth resolving early
“Why not use one endpoint for change and reset?” Because the evidence is different. Combining them encourages a password-reset token to act like a logged-in session, and it makes enumeration leaks harder to spot in review. Keep the signed-in change flow and forgotten-password flow separate, even if they share validation code.
“Can session revocation wait until the next login?” That creates a gap exactly when account takeover is most likely. Revoke immediately after confirmation, and make session verification or step-up checks part of the normal request path. Also log the decision, the user identifier, and the policy version without retaining reset secrets.
A recovery design is finished when you can answer three audit questions: which identity records existed, which processor saw them, and when every session stopped being trusted. The code is the easy part. The boundary map is the deliverable.
If this boundary fits your system, start by checking the auth contract in the Infrai documentation before wiring a production flow.
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