FKIE_CVE-2026-28225
Vulnerability from fkie_nvd - Published: 2026-02-26 23:16 - Updated: 2026-06-17 10:28
Severity
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
6.5 (Medium) - CVSS:3.1/
Summary
Manyfold is an open source, self-hosted web application for managing a collection of 3d models, particularly focused on 3d printing. Prior to version 0.133.1, the `get_model` method in `ModelFilesController` (line 158-160) loads models using `Model.find_param(params[:model_id])` without `policy_scope()`, bypassing Pundit authorization. All other controllers correctly use `policy_scope(Model).find_param()` (e.g., `ModelsController` line 263). Version 0.133.1 fixes the issue.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/manyfold3d/manyfold/releases/tag/v0.133.1 | Product, Release Notes | |
| security-advisories@github.com | https://github.com/manyfold3d/manyfold/security/advisories/GHSA-v8pw-3r2f-3fqm | Exploit, Mitigation, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "manyfold",
"vendor": "manyfold3d",
"versions": [
{
"status": "affected",
"version": "\u003c 0.133.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:manyfold:manyfold:*:*:*:*:*:*:*:*",
"matchCriteriaId": "E2BF73EA-32B4-4B68-92BC-BC17A045C023",
"versionEndExcluding": "0.133.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Manyfold is an open source, self-hosted web application for managing a collection of 3d models, particularly focused on 3d printing. Prior to version 0.133.1, the `get_model` method in `ModelFilesController` (line 158-160) loads models using `Model.find_param(params[:model_id])` without `policy_scope()`, bypassing Pundit authorization. All other controllers correctly use `policy_scope(Model).find_param()` (e.g., `ModelsController` line 263). Version 0.133.1 fixes the issue."
},
{
"lang": "es",
"value": "Manyfold es una aplicaci\u00f3n web de c\u00f3digo abierto y autoalojada para gestionar una colecci\u00f3n de modelos 3D, particularmente enfocada en la impresi\u00f3n 3D. Antes de la versi\u00f3n 0.133.1, el m\u00e9todo `get_model` en `ModelFilesController` (l\u00ednea 158-160) carga modelos usando `Model.find_param(params[:model_id])` sin `policy_scope()`, eludiendo la autorizaci\u00f3n de Pundit. Todos los dem\u00e1s controladores usan correctamente `policy_scope(Model).find_param()` (por ejemplo, `ModelsController` l\u00ednea 263). La versi\u00f3n 0.133.1 corrige el problema."
}
],
"id": "CVE-2026-28225",
"lastModified": "2026-06-17T10:28:21.923",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-28225",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-27T18:18:53.353142Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-26T23:16:36.413",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Product",
"Release Notes"
],
"url": "https://github.com/manyfold3d/manyfold/releases/tag/v0.133.1"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/manyfold3d/manyfold/security/advisories/GHSA-v8pw-3r2f-3fqm"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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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