PYSEC-2026-65
Vulnerability from pysec - Published: 2026-02-27 22:16 - Updated: 2026-05-20 09:19
VLAI
Details
Gradio is an open-source Python package designed for quick prototyping. Prior to version 6.6.0, the _redirect_to_target() function in Gradio's OAuth flow accepts an unvalidated _target_url query parameter, allowing redirection to arbitrary external URLs. This affects the /logout and /login/callback endpoints on Gradio apps with OAuth enabled (i.e. apps running on Hugging Face Spaces with gr.LoginButton). Starting in version 6.6.0, the _target_url parameter is sanitized to only use the path, query, and fragment, stripping any scheme or host.
Severity
4.7 (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": "6.6.0"
}
],
"type": "ECOSYSTEM"
}
],
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]
}
],
"aliases": [
"CVE-2026-28415",
"GHSA-pfjf-5gxr-995x"
],
"details": "Gradio is an open-source Python package designed for quick prototyping. Prior to version 6.6.0, the _redirect_to_target() function in Gradio\u0027s OAuth flow accepts an unvalidated _target_url query parameter, allowing redirection to arbitrary external URLs. This affects the /logout and /login/callback endpoints on Gradio apps with OAuth enabled (i.e. apps running on Hugging Face Spaces with gr.LoginButton). Starting in version 6.6.0, the _target_url parameter is sanitized to only use the path, query, and fragment, stripping any scheme or host.",
"id": "PYSEC-2026-65",
"modified": "2026-05-20T09:19:02.144766Z",
"published": "2026-02-27T22:16:24.497Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/gradio-app/gradio/security/advisories/GHSA-pfjf-5gxr-995x"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:N/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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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