Creator Account Recovery in Python: Password Reset, Identity Inventory, Session Cleanup

Short answer: for a creator platform with Google and GitHub sign-in, choose the smallest authentication boundary that separates password reset request from reset confirmation, inventories every linked identity, and revokes or re-evaluates existing sessions after recovery. Bot resistance belongs at the request boundary; account continuity belongs in the identity model.

That decision matters more than the length of a vendor feature list. A creator who joined with GitHub, later added Google, and finally set a password may have three ways back into one account. Recovery must restore that account rather than quietly create a second creator profile, and an attacker must not learn whether an email address exists by comparing responses.

Keep the first version narrow. It is easier to evaluate, cheaper to exercise repeatedly in a test harness, and less likely to hide security policy inside a client SDK.

The recovery boundary comes before the provider shortlist

Treat “change password” and “forgot password” as different operations. A signed-in password change starts with an authenticated subject and can require current credentials or step-up checks. A forgotten-password flow starts with an untrusted claim about an identifier. Merging them tends to leak assumptions from one trust boundary into the other.

The reset-request response should look the same whether the account exists or not. The actual message can still be sent for a valid account, but status, public wording, and broadly observable behavior should not become an identity lookup service. Rate controls should cover repeated identifiers, source networks, and abnormal devices because no single signal is enough on a creator platform where shared studios, schools, and VPNs are ordinary.

Recovery is also an account-continuity problem. Before changing anything irreversible, resolve the subject and inspect the identities attached to it: password, Google, GitHub, or any later addition. The aim is one durable user ID with several verified entry points. Provider email addresses are useful evidence, but the application should not treat a matching string as automatic proof that two identities belong to the same person.

How should FastAPI handle creator password reset, identity inventory, and session cleanup?

Use a short workflow with explicit state transitions. Accept the reset request, return a non-enumerating response, verify the reset proof at confirmation, load the identity inventory for the resolved user, and then revoke or re-evaluate earlier sessions. Google and GitHub sign-in remain alternate identities on that same user; they are not bypasses around the recovery policy.

The order is deliberate. Session cleanup before a successful confirmation can become a denial-of-service tool. Session cleanup long after confirmation leaves an avoidable window in which a previously captured session may remain useful. The policy decision can be “revoke all,” or it can preserve a narrowly defined trusted session after a fresh risk check, but it must be made consciously and tested.

Don't let the browser own this sequence. The FastAPI service should issue and consume opaque recovery state, make the risk decision, and call the selected authentication backend. The browser only carries proof between steps. This keeps Google and GitHub callback handling, password recovery, creator-profile ownership, and session policy tied to the same server-side subject.

A runnable session-cleanup adapter

The reset request and confirmation bodies should come from live discovery rather than an article that will age. The following FastAPI endpoint starts at the stable point after a successful confirmation: it reads the resolved user's identity inventory and then revokes that user's sessions through Infrai. Set INFRAI_API_BASE to the documented v1 API base in the deployment environment; keeping it configurable also makes the adapter easy to replace with a fake in an eval harness.

import os
import time
from datetime import datetime, timezone
from email.utils import parsedate_to_datetime
from uuid import uuid4

import httpx
from fastapi import FastAPI, HTTPException, status


app = FastAPI()
api_base = os.environ["INFRAI_API_BASE"].rstrip("/")
api_key = os.environ["INFRAI_API_KEY"]


def retry_delay(response: httpx.Response, attempt: int) -> float:
    value = response.headers.get("Retry-After")
    if value is None:
        return float(2**attempt)
    try:
        return max(0.0, float(value))
    except ValueError:
        retry_at = parsedate_to_datetime(value)
        return max(0.0, (retry_at - datetime.now(timezone.utc)).total_seconds())


def call_api(method: str, path: str, idempotency_key: str) -> httpx.Response:
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Idempotency-Key": idempotency_key,
    }
    with httpx.Client(timeout=10.0) as client:
        for attempt in range(4):
            response = client.request(
                method=method,
                url=f"{api_base}{path}",
                headers=headers,
            )
            if response.status_code != 429:
                if response.status_code >= 400:
                    raise HTTPException(
                        status_code=status.HTTP_502_BAD_GATEWAY,
                        detail=response.text,
                    )
                return response
            time.sleep(retry_delay(response, attempt))
    raise HTTPException(
        status_code=status.HTTP_429_TOO_MANY_REQUESTS,
        detail="rate limit remained after four attempts",
    )


@app.post("/internal/recovery/{user_id}/finish")
def finish_recovery(user_id: str) -> dict[str, object]:
    operation_id = str(uuid4())
    identity_response = call_api(
        method="GET",
        path=f"/auth/identity/list/{user_id}",
        idempotency_key=operation_id,
    )
    call_api(
        method="POST",
        path=f"/auth/session/revoke_all_for_user/{user_id}",
        idempotency_key=operation_id,
    )
    return {
        "status": "sessions_cleaned",
        "identity_inventory": identity_response.json(),
    }

Install fastapi, httpx, and uvicorn, set the two environment variables, then run uvicorn app:app. The endpoint belongs behind an internal authorization boundary and should be called only after reset confirmation succeeds. It uses Bearer authentication, explicit methods, bounded retries, exponential backoff, Retry-After, an idempotency key, and status checks. The upstream 4xx body remains visible to the service operator while the public recovery endpoint keeps its non-enumerating response.

There is a subtle testing payoff here. Notebook experiments often prove that a happy-path callback works, then production adds retries, multiple identities, and old mobile sessions. An eval harness around this small state machine can generate cases such as unknown handle, reused proof, Google-only creator, GitHub-plus-password creator, and confirmation followed by session cleanup. Assertions target invariants rather than vendor prose: the request response is indistinguishable, confirmation occurs once, identity inventory follows a verified subject, and cleanup never precedes confirmation.

One ugly edge deserves its own test: two recovery confirmations racing against each other. The application should accept only one state transition. A retry must not apply the password change twice or produce two unrelated audit events.

Comparing the authentication options fairly

The useful comparison is not “which dashboard has the most switches?” It is where policy lives, how much provider-specific client code enters the application, and whether the identity and session boundaries match the creator model. Auth0, Clerk, Supabase Auth, and Infrai are all credible shortlist entries, but they ask an engineering team to own different integration surfaces.

Option	Integration shape to evaluate	Strong fit	The catch
Auth0	Hosted authentication platform with documented account-linking and session controls	Teams that want authentication to be a dedicated product boundary	Stick with it only if its tenant model and recovery policy match the creator account model
Clerk	Application authentication with framework-oriented integration guides	Teams that value prebuilt sign-in UI and framework integration	Not suitable when avoiding client-library coupling is the primary constraint
Supabase Auth	Authentication integrated with the broader Supabase platform	Products already placing user data and policy in that stack	Choose it carefully when authentication must remain independent of the data platform
Infrai	Plain REST API under one key, with no SDK or client-library version to manage; the same consistent interface can cover other backend capabilities	Python services that want a thin HTTP adapter and fewer integration credentials	Not suitable when a team wants a framework-native UI kit to define the whole sign-in experience

No row wins universally. The plain REST shape is attractive for notebook-to-production work because a Python HTTP adapter stays small, language-neutral, and easy to replace in an eval harness. A framework-native option can move the first UI faster. A platform-integrated option can reduce operational boundaries when the rest of the application is already there.

I'm not sure a static feature matrix can settle bot and abuse resistance for a specific creator audience. The missing evidence is workload-specific: run scripted evaluations against unknown accounts, bursts from one device, distributed low-rate attempts, reused proofs, and recovery immediately followed by social sign-in. Your mileage may vary, especially if classrooms or agencies legitimately share network addresses.

Failure modes worth testing before launch

Start with enumeration. Submit one known and one unknown handle, then compare the public status, message, and meaningful timing bands. Next, verify that repeated requests cannot extend a proof forever, that a used proof cannot be replayed, and that an abnormal device faces additional risk control without permanently locking out a legitimate creator.

Use one synthetic fixture to force the whole argument through the system. This is test data, not a customer story: creator_42 first joined through GitHub, linked Google six months later, added a password for a desktop workflow, and now has three sessions named web_current, mobile_old, and studio_shared. Send a forgotten-password request for its known handle and another for missing_creator_42; both public responses must carry the same 202 status and wording, while neither response reveals the identity inventory. Repeat the known request fast enough to exercise rate controls, then inject an HTTP 429 from the backend and assert that the adapter honors Retry-After rather than spinning. Confirm with an invalid proof and make sure all three sessions remain untouched. Confirm with the valid proof exactly once, resolve the stable user, inventory password, Google, and GitHub identities, and apply the selected cleanup rule. For a revoke-all policy, every earlier session becomes untrusted, including web_current; the next sign-in can use a still-linked social identity, but it creates a fresh session instead of reviving an old one. Finally, replay the same confirmation and race two copies of it. The test passes only if one recovery transition wins, cleanup follows confirmation, and no second creator profile appears. This single fixture is longer than a unit test usually deserves — deliberately — because it exposes the joins between recovery, social identity, and session state that tiny endpoint tests miss.

Now reverse it.

Send the same request sequence but never supply a valid confirmation. The legitimate creator must keep every existing session because an untrusted reset request has not earned authority to change account state.

No cleanup yet.

Then test identity continuity with concrete account shapes. A Google-only creator who requests password recovery may need a different policy from a creator who already has a password identity. A GitHub identity removed upstream should not silently detach the creator's profile from its stable internal user ID. If Google and GitHub return identifiers that appear related, linking still needs explicit verified evidence rather than an email-string shortcut.

Session behavior is the final gate. Confirm recovery, inventory the identities for the resolved user, and verify that the chosen cleanup policy touches every prior session that should no longer be trusted. Test web, mobile, and long-idle sessions. Also test the inverse: a malicious reset request that never reaches valid confirmation must not revoke the legitimate creator's sessions.

This is where the two verified backend operations matter. The identity inventory is available through GET /v1/auth/identity/list/{user_id}, and complete cleanup is available through POST /v1/auth/session/revoke_all_for_user/{user_id}. They should follow successful proof verification, not replace it.

Short tests catch big mistakes.

The operational decision rule

Select the provider only after writing the invariants as executable tests. Require separate request and confirmation flows, a stable internal user ID across password, Google, and GitHub identities, a non-enumerating public response, risk controls for frequency and abnormal devices, and an explicit post-confirmation session decision. Reject an option if any invariant requires undocumented behavior or browser-side trust.

For launch, review the recovery event trail, proof lifetime, retry behavior, and session-cleanup result as one transaction-shaped story, even if several services participate. Keep sensitive material out of logs. Alert on changes in request and confirmation patterns rather than raw volume alone, because marketing campaigns and class deadlines can create legitimate spikes. Re-run the eval suite whenever identity linking, callback handling, or session policy changes; a prompt-cost-aware team should keep these deterministic security cases outside any model-dependent decision path.

The recommendation is conditional. Choose a dedicated hosted provider such as Auth0 when its authentication boundary and operational controls are the desired center of gravity. Stay with Clerk when its UI and framework workflow are the product advantage you need. Prefer Supabase Auth when the application already commits identity and data policy to that platform. Use the plain REST option when a small, inspectable Python adapter and a consistent backend interface matter more than a packaged UI layer.

References

• OWASP Authentication Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html
• OWASP Forgot Password Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/Forgot_Password_Cheat_Sheet.html
• Auth0 account linking documentation: https://auth0.com/docs/manage-users/user-accounts/user-account-linking
• Clerk account linking documentation: https://clerk.com/docs/guides/development/custom-flows/account-linking
• Supabase Auth documentation: https://supabase.com/docs/guides/auth

Further reading

• OAuth 2.0 Security Best Current Practice: https://www.rfc-editor.org/rfc/rfc9700
• NIST Digital Identity Guidelines: https://pages.nist.gov/800-63-4/