PYSEC-2024-220
Vulnerability from pysec - Published: 2024-10-10 23:15 - Updated: 2025-01-19 22:22
VLAI
Details
Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves Cross-Site Scripting (XSS) on any Gradio server that allows file uploads. Authenticated users can upload files such as HTML, JavaScript, or SVG files containing malicious scripts. When other users download or view these files, the scripts will execute in their browser, allowing attackers to perform unauthorized actions or steal sensitive information from their sessions. This impacts any Gradio server that allows file uploads, particularly those using components that process or display user-uploaded files. Users are advised to upgrade to gradio>=5 to address this issue. As a workaround, users can restrict the types of files that can be uploaded to the Gradio server by limiting uploads to non-executable file types such as images or text. Additionally, developers can implement server-side validation to sanitize uploaded files, ensuring that HTML, JavaScript, and SVG files are properly handled or rejected before being stored or displayed to users.
Severity
5.4 (Medium)
Impacted products
| Name | purl | gradio | pkg:pypi/gradio |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "gradio",
"purl": "pkg:pypi/gradio"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.0.0"
}
],
"type": "ECOSYSTEM"
}
],
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"0.1.1",
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]
}
],
"aliases": [
"CVE-2024-47872",
"GHSA-gvv6-33j7-884g"
],
"details": "Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves **Cross-Site Scripting (XSS)** on any Gradio server that allows file uploads. Authenticated users can upload files such as HTML, JavaScript, or SVG files containing malicious scripts. When other users download or view these files, the scripts will execute in their browser, allowing attackers to perform unauthorized actions or steal sensitive information from their sessions. This impacts any Gradio server that allows file uploads, particularly those using components that process or display user-uploaded files. Users are advised to upgrade to `gradio\u003e=5` to address this issue. As a workaround, users can restrict the types of files that can be uploaded to the Gradio server by limiting uploads to non-executable file types such as images or text. Additionally, developers can implement server-side validation to sanitize uploaded files, ensuring that HTML, JavaScript, and SVG files are properly handled or rejected before being stored or displayed to users.",
"id": "PYSEC-2024-220",
"modified": "2025-01-19T22:22:23.972580+00:00",
"published": "2024-10-10T23:15:03+00:00",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/gradio-app/gradio/security/advisories/GHSA-gvv6-33j7-884g"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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