CVE-2026-45396
5.4 MEDIUMOpen WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline
Published: 2026-05-15 · Last updated: 2026-05-19
Severity and scoring
- CVSS
- 5.4 MEDIUM
- Vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
- CWE
- CWE-915
Affected products
| Vendor | Product |
|---|---|
| openwebui | open_webui |
Description
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.5, the POST /api/v1/evaluations/feedback endpoint in Open WebUI v0.9.2 is vulnerable to mass assignment via FeedbackForm, which uses model_config = ConfigDict(extra='allow'). Due to an insecure dictionary merge order in insert_new_feedback(), an authenticated attacker can inject a user_id field in the request body that overwrites the server-derived value, creating feedback records attributed to any arbitrary user. This corrupts the model evaluation leaderboard (Elo ratings) and enables identity spoofing. This vulnerability is fixed in 0.9.5.
Source: NVD
References
Related CVEs
Same vendor
- CVE-2026-45667 — Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline (6.5 MEDIUM)
- CVE-2026-45666 — Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline (6.5 MEDIUM)
- CVE-2026-45665 — Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline (8.1 HIGH)
- CVE-2026-45365 — Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline (5.4 MEDIUM)
- CVE-2026-45351 — Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline (6.5 MEDIUM)
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- CVE-2026-46479 — Flowise is a drag & drop user interface to build a customized large language model flow (8.8 HIGH)
- CVE-2026-46478 — Flowise is a drag & drop user interface to build a customized large language model flow (8.8 HIGH)
- CVE-2026-46477 — Flowise is a drag & drop user interface to build a customized large language model flow (8.8 HIGH)