GHSA-R6P4-GRQ7-XM4M
Vulnerability from github – Published: 2026-08-20 18:40 – Updated: 2026-08-20 18:40
VLAI
Summary
Wagtail: Improper permission handling in image preview
Details
Impact
Due to a missing permission check on the image preview endpoint, a user with access to the Wagtail admin can preview any image. The existing data of the image object itself is not exposed. The vulnerability is not exploitable by an ordinary site visitor without access to the Wagtail admin.
Patches
Patched versions have been released as Wagtail 7.0.8, 7.3.3, 7.4.2.
Workarounds
For sites that cannot easily upgrade to a current supported version, the vulnerability can be patched by adding the following code to urls.py URL pattern declarations to override the vulnerable view.
from django.core.exceptions import PermissionDenied
from django.shortcuts import get_object_or_404
from django.urls import path
from wagtail.admin import urls as wagtailadmin_urls
from wagtail.images.permissions import permission_policy
from wagtail.images.views import preview
def patched_preview(request, image_id, filter_spec):
image = get_object_or_404(get_image_model(), id=image_id)
if not permission_policy.user_has_permission_for_instance(request.user, "change", image):
raise PermissionDenied
return preview(request, image_id, filter_spec)
urlpatterns = [
# Example where the CMS admin is at /admin/.
# Add this before the Wagtail admin URLs registration, with the same sub-path.
path("admin/images/<int:image_id>/preview/<str:filter_spec>/", patched_preview)
path("admin/", include(wagtailadmin_urls)),
]
Acknowledgements
Many thanks to @0x1saac and @harshakshit for reporting this issue.
For more information
If you have any questions or comments about this advisory:
- Visit Wagtail's support channels
- Email us at security@wagtail.org (view our security policy for more information).
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "wagtail"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "7.0.8"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "wagtail"
},
"ranges": [
{
"events": [
{
"introduced": "7.1"
},
{
"fixed": "7.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "wagtail"
},
"ranges": [
{
"events": [
{
"introduced": "7.4"
},
{
"fixed": "7.4.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-54261"
],
"database_specific": {
"cwe_ids": [
"CWE-280"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-20T18:40:18Z",
"nvd_published_at": "2026-07-01T22:16:49Z",
"severity": "MODERATE"
},
"details": "### Impact\nDue to a missing permission check on the image preview endpoint, a user with access to the Wagtail admin can preview any image. The existing data of the image object itself is not exposed. The vulnerability is not exploitable by an ordinary site visitor without access to the Wagtail admin.\n\n### Patches\nPatched versions have been released as Wagtail 7.0.8, 7.3.3, 7.4.2.\n\n### Workarounds\nFor sites that cannot easily upgrade to a current supported version, the vulnerability can be patched by adding the following code to `urls.py` URL pattern declarations to override the vulnerable view.\n\n```python\nfrom django.core.exceptions import PermissionDenied\nfrom django.shortcuts import get_object_or_404\nfrom django.urls import path\nfrom wagtail.admin import urls as wagtailadmin_urls\nfrom wagtail.images.permissions import permission_policy\nfrom wagtail.images.views import preview\n\n\ndef patched_preview(request, image_id, filter_spec):\n image = get_object_or_404(get_image_model(), id=image_id)\n\n if not permission_policy.user_has_permission_for_instance(request.user, \"change\", image):\n raise PermissionDenied\n\n return preview(request, image_id, filter_spec)\n\n\nurlpatterns = [\n # Example where the CMS admin is at /admin/.\n # Add this before the Wagtail admin URLs registration, with the same sub-path.\n path(\"admin/images/\u003cint:image_id\u003e/preview/\u003cstr:filter_spec\u003e/\", patched_preview)\n path(\"admin/\", include(wagtailadmin_urls)),\n]\n```\n\n### Acknowledgements\nMany thanks to @0x1saac and @harshakshit for reporting this issue.\n\n\n### For more information\nIf you have any questions or comments about this advisory:\n\n* Visit Wagtail\u0027s [support channels](https://docs.wagtail.org/en/stable/support.html)\n* Email us at [security@wagtail.org](mailto:security@wagtail.org) (view our [security policy](https://github.com/wagtail/wagtail/security/policy) for more information).",
"id": "GHSA-r6p4-grq7-xm4m",
"modified": "2026-08-20T18:40:18Z",
"published": "2026-08-20T18:40:18Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/wagtail/wagtail/security/advisories/GHSA-r6p4-grq7-xm4m"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-54261"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/wagtail/PYSEC-2026-614.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/wagtail/wagtail"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Wagtail: Improper permission handling in image preview"
}
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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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