Nixpkgs security tracker
8.2 HIGH
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): Low (L)
- Availability (A): None (N)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): None (N)
- Modified User Interaction (MUI): None (N)
- Modified Confidentiality (MC): High (H)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): Low (L)
- Modified Availability (MA): None (N)
by @LeSuisse Activity log
- Created suggestion
-
@LeSuisse
ignored
8 packages
- python312Packages.gradio-pdf
- python313Packages.gradio-pdf
- python314Packages.gradio-pdf
- pkgsRocm.python3Packages.gradio-client
- pkgsRocm.python3Packages.gradio-pdf
- python314Packages.gradio-client
- python313Packages.gradio-client
- python312Packages.gradio-client
- @LeSuisse accepted
- @LeSuisse published on GitHub
Gradio has SSRF via Malicious `proxy_url` Injection in `gr.load()` Config Processing
Gradio is an open-source Python package designed for quick prototyping. Prior to version 6.6.0, 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. Version 6.6.0 fixes the issue.
References
-
https://github.com/gradio-app/gradio/security/advisories/GHSA-jmh7-g254-2cq9 x_refsource_CONFIRM
Affected products
- ==< 6.6.0
Matching in nixpkgs
pkgs.python312Packages.gradio
None
pkgs.python313Packages.gradio
Python library for easily interacting with trained machine learning models
pkgs.python314Packages.gradio
Python library for easily interacting with trained machine learning models
pkgs.pkgsRocm.python3Packages.gradio
Python library for easily interacting with trained machine learning models
Ignored packages (8)
pkgs.python312Packages.gradio-pdf
None
pkgs.python313Packages.gradio-pdf
Python library for easily interacting with trained machine learning models
pkgs.python314Packages.gradio-pdf
Python library for easily interacting with trained machine learning models
pkgs.python312Packages.gradio-client
None
pkgs.python313Packages.gradio-client
Lightweight library to use any Gradio app as an API
pkgs.python314Packages.gradio-client
Lightweight library to use any Gradio app as an API
pkgs.pkgsRocm.python3Packages.gradio-pdf
Python library for easily interacting with trained machine learning models
pkgs.pkgsRocm.python3Packages.gradio-client
Lightweight library to use any Gradio app as an API
Package maintainers
-
@pbsds Peder Bergebakken Sundt <pbsds@hotmail.com>