FKIE_CVE-2026-33705
Vulnerability from fkie_nvd - Published: 2026-04-10 19:16 - Updated: 2026-10-26 21:10
Severity
Summary
Chamilo LMS is a learning management system. Prior to 1.11.38, Twig template files (.tpl) under /main/template/default/ are directly accessible without authentication via HTTP GET requests. These templates expose internal application logic, variable names, AJAX endpoint URLs, and admin panel structure. This vulnerability is fixed in 1.11.38.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| chamilo | chamilo_lms | * |
{
"affected": [
{
"affectedData": [
{
"product": "chamilo-lms",
"vendor": "chamilo",
"versions": [
{
"status": "affected",
"version": "\u003c 1.11.38"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:chamilo:chamilo_lms:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A4D0C5D2-6FA0-4532-8E3D-4EA111A50621",
"versionEndExcluding": "1.11.38",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Chamilo LMS is a learning management system. Prior to 1.11.38, Twig template files (.tpl) under /main/template/default/ are directly accessible without authentication via HTTP GET requests. These templates expose internal application logic, variable names, AJAX endpoint URLs, and admin panel structure. This vulnerability is fixed in 1.11.38."
},
{
"lang": "es",
"value": "Chamilo LMS es un sistema de gesti\u00f3n de aprendizaje. Antes de la versi\u00f3n 1.11.38, los archivos de plantilla Twig (.tpl) bajo /main/template/default/ son directamente accesibles sin autenticaci\u00f3n a trav\u00e9s de solicitudes HTTP GET. Estas plantillas exponen l\u00f3gica interna de la aplicaci\u00f3n, nombres de variables, URLs de puntos finales AJAX y la estructura del panel de administraci\u00f3n. Esta vulnerabilidad est\u00e1 corregida en la versi\u00f3n 1.11.38."
}
],
"id": "CVE-2026-33705",
"lastModified": "2026-10-26T21:10:00.170",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-33705",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-15T15:02:23.156125Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-10T19:16:23.653",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/chamilo/chamilo-lms/commit/4efb5ee8ed849ca147ca1fe7472ef7b98db17bff"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/chamilo/chamilo-lms/security/advisories/GHSA-5wjg-8x28-px57"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-538"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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
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