CVE-2026-61663 (GCVE-0-2026-61663)
Vulnerability from cvelistv5 – Published: 2026-08-20 18:07 – Updated: 2026-08-25 15:16
VLAI
EPSS
VEX
Title
django CMS: Missing authorization in `render_object_structure` discloses non-PageContent placeholder structure to low-privileged staff
Summary
django CMS is an easy-to-use and developer-friendly enterprise content management system powered by Django. Prior to 5.0.9, render_object_structure fails to authorize non-PageContent objects that use PlaceholderRelationField. An active staff user without cms.use_structure or model-level view or change permission can request the //admin/cms/placeholder/object/<content_type_id>/structure/<object_id>/ endpoint with guessed content_type_id and object_id values. The response discloses placeholder slot names, plugin trees, plugin identifiers, labels, and object existence for frontend-editable objects. The fix applies user_can_view_placeholder_source to the non-PageContent branch while keeping the structure board read-only for view-only users. This issue is fixed in versions 5.0.9.
Severity
4.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 15:15 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/django-cms/django-cms/security… | x_refsource_CONFIRM |
| https://github.com/django-cms/django-cms/pull/8703 | x_refsource_MISC |
| https://github.com/django-cms/django-cms/commit/9… | x_refsource_MISC |
| https://github.com/django-cms/django-cms/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| django-cms | django-cms |
Affected:
< 5.0.9
|
guessed |
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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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