Gradio Project: >> Gradio >> 3.17.1 Security Vulnerabilities
A command injection vulnerability exists in the deploy+test-visual.yml workflow of the gradio-app/gradio repository, due to improper neutralization of special elements used in a command. This vulnerability allows attackers to execute unauthorized commands, potentially leading to unauthorized modification of the base repository or secrets exfiltration. The issue arises from the unsafe handling of GitHub context information within a `run` operation, where expressions inside `${{ }}` are evaluated and substituted before script execution. Remediation involves setting untrusted input values to intermediate environment variables to prevent direct influence on script generation.
CVSS Score
8.6
EPSS Score
0.005
Published
2024-03-27
Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitary Python function. Versions of `gradio` prior to 4.11.0 contained a vulnerability in the `/file` route which made them susceptible to file traversal attacks in which an attacker could access arbitrary files on a machine running a Gradio app with a public URL (e.g. if the demo was created with `share=True`, or on Hugging Face Spaces) if they knew the path of files to look for. This issue has been patched in version 4.11.0.
CVSS Score
5.6
EPSS Score
0.815
Published
2023-12-22
Command Injection in GitHub repository gradio-app/gradio prior to main.
CVSS Score
9.6
EPSS Score
0.025
Published
2023-12-14
Gradio is an open-source Python library that is used to build machine learning and data science. Due to a lack of path filtering Gradio does not properly restrict file access to users. Additionally Gradio does not properly restrict the what URLs are proxied. These issues have been addressed in version 3.34.0. Users are advised to upgrade. There are no known workarounds for this vulnerability.
CVSS Score
7.3
EPSS Score
0.003
Published
2023-06-08
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