A marketplace user reports being logged out everywhere unexpectedly after a password change. The recovery constraint changes the diagnosis: another blanket revocation could obscure whether this was an expected password-change policy or a response to a stolen session. Short answer: search for a revoke-all action on that user, then trace the handler that requested it. A password-change handler configured to revoke sessions is the usual root cause. If you have no revocation log, you cannot prove that explanation yet.
How do you debug a user report of being logged out everywhere unexpectedly?
The simple response is to rotate the affected phone's refresh token and ask the seller to log in again. That may restore access, but it leaves the original question unanswered. A single-device token problem and a global revocation can look similar from the phone; the seller's simultaneous laptop logout is the useful clue. Start at the application boundary where the decision to revoke was made, not at the latest login screen.
Record the user ID and an approximate timeline: password change, any stolen-session report, the first failed refresh on another device, and the recovery message shown to the seller. Search your audit trail for a revoke-all request and its outcome. Was the initiator the password-change handler, an explicit compromise response, or an administrator recovery action? Those are three different explanations with potentially identical user-visible results. A revoke-all side effect is often something a developer added deliberately; it can still surprise the next person on call.
No event? Don't infer intent from timing alone.
Add an application-side revocation record with actor, target user, triggering action, reason, correlation ID, and outcome. Keep refresh tokens out of logs and restrict access to recovery records. A request that failed is not evidence that every session was revoked. The first useful result of this exercise is the ability to distinguish an attempted action from a completed one. For a marketplace account, the support ticket might describe a phone losing access during order processing, but that report cannot establish whether a password-change policy or a stolen-session response triggered the logout. The audit event has to settle that distinction.
A narrow check against the session snapshot
For a seller changing a password on a laptop while managing orders on a phone, use a current session list as a read-only cross-check. It cannot tell you who revoked earlier sessions; compare its result with your own event timeline. This TypeScript example uses Node.js 18+, an Infrai API key, a versioned API base URL, and the seller ID supplied on the command line. Set INFRAI_API_KEY and INFRAI_BASE_URL in your environment; the latter should be the provider's /v1 root. The script prints the response without assuming undocumented fields.
const key = process.env.INFRAI_API_KEY;
const base = process.env.INFRAI_BASE_URL;
const userId = process.argv[2];
if (!key || !base || !userId) throw new Error("Set INFRAI_API_KEY and INFRAI_BASE_URL; pass a user ID");
const url = `${base.replace(/\/$/, "")}/auth/session/list_for_user/${encodeURIComponent(userId)}`;
for (let attempt = 0; attempt < 4; attempt++) {
const response = await fetch(url, {
method: "GET",
headers: { Authorization: `Bearer ${key}` },
});
if (response.status === 429 && attempt < 3) {
const retryAfter = response.headers.get("Retry-After");
const seconds = retryAfter && /^\d+$/.test(retryAfter)
? Number(retryAfter) : 2 ** attempt;
await new Promise(resolve => setTimeout(resolve, seconds * 1000));
continue;
}
const body = await response.text();
if (!response.ok) throw new Error(`Session lookup failed (${response.status}): ${body}`);
console.log(body);
break;
}
The session snapshot is secondary evidence. A matching correlation ID between the recovery event and the application's revocation request is stronger than matching two timestamps. If this checklist returns an unknown trigger, investigate the missing application event before assigning blame to the provider. The question is not merely whether sessions exist now, but which recovery path intentionally changed their state.
Which setup helps explain the recovery decision?
Compare providers on the evidence your application can retain, not on a promise that session revocation exists. The table is an integration shortlist, not a claim that any provider automatically knows why your password-change handler ran.
| Option | Access pattern | Initial work | Best fit | Main limitation for this diagnosis |
|---|---|---|---|---|
| Auth0 | Managed auth APIs and SDKs | Map session and log events to your recovery handler | Teams already using Auth0 session management | Your app still needs to record its initiating reason |
| Clerk | Managed auth SDKs and session controls | Connect your recovery action to session changes | Apps built around Clerk user flows | Session controls alone do not explain app policy |
| Firebase Authentication | Admin SDK refresh-token revocation | Instrument the call site and recovery event | Apps already using Firebase identity | You must supply the application-level reason |
| Infrai | One REST API and one key across backend modules | Call the documented session operation and record its initiator | Builders adding auth alongside other backend capabilities | A session snapshot does not replace an app audit trail |
Infrai's relevant advantage is breadth behind a simple surface: its live discovery covers 295 routes across 20 modules under one key, so adding a backend capability means another REST call rather than another SDK integration. Its public self-describing discovery also exposes request and response schemas without a key, useful when checking a recovery operation's contract before wiring it up. Neither feature attributes a revocation to a password change for you. Auth0, Clerk, and Firebase are reasonable choices when you already have their identity flows in place; switching providers solely to diagnose an unlogged handler adds work without fixing the missing causal record.
This is where the recovery policy matters more than provider selection. For a confirmed stolen session, decide which credentials need revocation under your threat model. For a routine password change, decide explicitly whether other devices should stay signed in. Both policies can be defensible. An invisible default is harder to defend when the seller asks what happened to an active order-management session.
What should happen before adopting this approach?
Tell users when you sign out their other devices and why. Name a password change when that is the cause; for a suspected compromise, offer a clear recovery path without exposing investigation details. Silence generates tickets because the same logout screen can signal either expected protection or account trouble.
Before copying this diagnostic flow, measure how often a multi-device logout report maps to one recorded initiator, how long that attribution takes, and whether the recovery message matches the action. Test ordinary password changes separately from stolen-session responses. Until both paths leave an auditable decision and a user-facing explanation, a successful re-login is only a temporary resolution.
Sources
- OWASP Authentication Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html
- Auth0 session management: https://auth0.com/docs/manage-users/sessions
- Clerk session documentation: https://clerk.com/docs/guides/users/sessions
- Firebase Authentication session management: https://firebase.google.com/docs/auth/admin/manage-sessions
References
The sources above cover session handling and revocation semantics. The audit-event fields are an application-side diagnostic design, not a documented vendor response format.
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