Описание
Open WebUI: Mass Assignment via FeedbackForm extra=allow Allows Feedback User ID Spoofing and Evaluation Data Manipulation
Mass Assignment in Feedback Creation Allows User ID Spoofing and Evaluation Data Manipulation
Summary
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.
Details
The vulnerability exists in two layers:
1. Model Layer — Insecure Dict Merge Order
File: backend/open_webui/models/feedbacks.py, lines 148–160
In Python, when a dictionary literal contains duplicate keys, the last value wins. Since **form_data.model_dump() appears after 'user_id': user_id, any user_id field in the form data overwrites the authenticated user's ID.
2. Schema Layer — extra='allow' on Request Form
File: backend/open_webui/models/feedbacks.py, line 106
The extra='allow' config means Pydantic will accept and preserve any extra fields in the request body, including user_id, id, and version. These are then spread into the FeedbackModel constructor, overwriting server-set values.
Contrast with Secure Pattern
Other models in the same codebase use the correct ordering. For example, backend/open_webui/models/functions.py, line 120:
And ModelForm at backend/open_webui/models/models.py uses extra='ignore', which is the strictest approach.
Impact
1. User Identity Spoofing
An attacker can create feedback records attributed to any user by specifying their user_id. The admin export endpoint (GET /api/v1/evaluations/feedbacks/export) and admin list (GET /api/v1/evaluations/feedbacks/all) will show the spoofed user_id as the feedback author.
2. Model Evaluation Leaderboard Manipulation
The Elo rating system at backend/open_webui/routers/evaluations.py computes model rankings directly from feedback records. An attacker can inject fake rating feedback to:
- Artificially inflate ratings for a specific model
- Deflate ratings for competitor models
- Make organizational model evaluation decisions unreliable
3. Record ID Control
By injecting a custom id, an attacker controls the UUID of the feedback record. While this won't overwrite existing records (primary key constraint), it enables predictable record IDs that could be useful in other attack chains.
PoC
Severity
CVSS 3.1: 5.4 (Medium) — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: Low (any authenticated user)
- User Interaction: None
- Impact: Integrity (feedback data falsification) + limited Availability (leaderboard reliability)
Suggested Remediation
Option 1: Fix dict merge order (minimal fix)
Option 2: Remove extra='allow' from FeedbackForm (recommended)
Option 3: Explicit field assignment (most secure)
Affected Versions
- v0.9.2 (current latest, confirmed vulnerable)
- Likely all versions since feedback/evaluation feature was introduced
References
- Prior advisory: "Mass Assignment via Pydantic extra='allow' Allows Creating Folders in Other Users' Accounts" (patched in v0.9.0) — same root cause class, different endpoint
Пакеты
open-webui
< 0.9.5
0.9.5
Связанные уязвимости
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.
Уязвимость функции insert_new_feedback() веб-интерфейса на базе искуственного интеллекта Open WebUI, позволяющая нарушителю получить доступ на чтение и изменение данных