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Open WebUI: Unauthenticated requests can stall the server via uncached OIDC fetches in back-channel logout

High severity GitHub Reviewed Published Sep 4, 2026 in open-webui/open-webui • Updated Sep 10, 2026

Package

pip open-webui (pip)

Affected versions

>= 0.9.0, <= 0.11.0

Patched versions

0.11.1

Description

Summary

The OIDC back-channel logout endpoint is unauthenticated by design, because the identity provider calls it without a browser session. Before checking whether the submitted logout token was genuine, the handler fetched the provider's discovery document and its signing keys over the network, and repeated both fetches on every request because nothing was cached. The signing-key fetch also ran as a blocking call inside the async event loop. A small number of requests carrying a worthless token was therefore enough to make the whole instance stop answering.

Preconditions

  • ENABLE_OAUTH_BACKCHANNEL_LOGOUT=true. The default is False, so a stock deployment is not affected. This setting is recommended in the Open WebUI hardening documentation, which is why the issue is treated as in scope.
  • At least one OIDC provider configured (OAUTH_CLIENT_ID, OAUTH_CLIENT_SECRET, OPENID_PROVIDER_URL).
  • No account, credential, session or secret identifier is required. The attacker needs network access to the instance and the configured issuer string, which is published in the provider's own discovery document.

Impact

Against 0.11.0, with the identity provider answering in 150 ms, 60 concurrent requests carrying a token whose signature was four characters long stalled the async event loop for 8.3 seconds, measured against an idle baseline of 10.8 ms. For the length of that stall the process answers nothing: no chat requests, no API calls, no health check. Open WebUI runs a single worker by default, so the effect is instance-wide rather than per-connection, and no rate limit sits in front of the endpoint.

The same traffic is also amplified outward: 20 sequential requests produced 20 discovery fetches and 40 key-set fetches at the identity provider, so an attacker can drive load onto the provider through the instance.

No data is read, modified or exposed, and the forged token is still rejected. The cost is paid before the rejection.

Fix

Fixed in 0.11.1. The handler now resolves both the discovery document and the signing keys through the already-configured OAuth client, so each is fetched once per provider and reused afterwards, and both fetches are asynchronous rather than blocking the event loop. A token carrying no kid header is rejected before any key lookup happens. Upgrading is sufficient, and no configuration change is required.

Root cause

Affected component: the OIDC back-channel logout handler in backend/open_webui/utils/oauth.py, reached through POST /oauth/backchannel-logout. Affected setups: releases 0.9.0 through 0.11.0 with back-channel logout enabled and an OIDC provider configured.

The handler treated its network work as cheap preparation rather than as work worth protecting. For every request it opened a new HTTP session per configured provider to re-read the discovery document, then constructed a fresh JWKS client, whose own cache consequently started empty each time, and asked that client for the signing key through a synchronous call issued directly on the event loop. All of this ran before the token signature was verified, so an attacker unable to produce a valid token still cost the server two network round trips and a blocked loop per request. Both fetches used the library default timeout of five minutes.

Proof of concept

Reproduced by running the unmodified handler from the 0.11.0 and 0.11.1 backends against a loopback identity provider that counted every inbound request and could answer with a configured delay. The submitted token carried a valid issuer and audience, a kid naming a key the provider does not hold, and AAAA as its signature.

20 sequential requests, provider answering immediately:

Version Discovery fetches Key-set fetches Response
0.11.0 20 40 400
0.11.1 1 1 400

60 concurrent requests, provider answering in 150 ms:

Version Wall time Discovery fetches Key-set fetches Worst event-loop stall
0.11.0 18.6 s 60 120 8255 ms
0.11.1 under 0.01 s 0 0 none measurable

Idle event-loop stall was 10.8 ms in both cases. On 0.11.1 the first request an instance receives warms both caches, and every request after that reaches the signature check without any outbound network call.

Credits

@galanko, for reporting the issue and identifying both the missing caching and the blocking call.

References

@doge-woof doge-woof published to open-webui/open-webui Sep 4, 2026
Published by the National Vulnerability Database Sep 9, 2026
Published to the GitHub Advisory Database Sep 10, 2026
Reviewed Sep 10, 2026
Last updated Sep 10, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(30th percentile)

Weaknesses

Asymmetric Resource Consumption (Amplification)

The product does not properly control situations in which an adversary can cause the product to consume or produce excessive resources without requiring the adversary to invest equivalent work or otherwise prove authorization, i.e., the adversary's influence is asymmetric. Learn more on MITRE.

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

CVE-2026-87011

GHSA ID

GHSA-3g9q-v48f-hh9w

Source code

Credits

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