FKIE_CVE-2026-53952
Vulnerability from fkie_nvd - Published: 2026-09-11 20:17 - Updated: 2026-09-11 20:17
Severity
Summary
GetSimple CMS is a content management system (CMS), and GetSimple CMS CE is the community edition of that CMS. A logic flaw in GetSimple CMS (v3.4.0a and below) and GetSimpleCMS-CE (v3.3.22 and below) allows unauthenticated attackers to create a new administrator account. The application features an automated security control designed to delete the sensitive `admin/setup.php` file post-installation. However, this control is neutralized by a self-exclusion bug within the deletion logic, leaving the setup script accessible for unauthorized account creation even after a legitimate installation is completed. As of time of publication, no known patched versions are available.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "GetSimpleCMS-CE",
"vendor": "GetSimpleCMS-CE",
"versions": [
{
"status": "affected",
"version": "\u003c= 3.3.22"
}
]
},
{
"product": "GetSimpleCMS",
"vendor": "GetSimpleCMS",
"versions": [
{
"status": "affected",
"version": "\u003c= 3.4.0a"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "GetSimple CMS is a content management system (CMS), and GetSimple CMS CE is the community edition of that CMS. A logic flaw in GetSimple CMS (v3.4.0a and below) and GetSimpleCMS-CE (v3.3.22 and below) allows unauthenticated attackers to create a new administrator account. The application features an automated security control designed to delete the sensitive `admin/setup.php` file post-installation. However, this control is neutralized by a self-exclusion bug within the deletion logic, leaving the setup script accessible for unauthorized account creation even after a legitimate installation is completed. As of time of publication, no known patched versions are available."
}
],
"id": "CVE-2026-53952",
"lastModified": "2026-09-11T20:17:14.060",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-09-11T20:17:14.060",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/GetSimpleCMS-CE/GetSimpleCMS-CE/security/advisories/GHSA-rw2c-w4mg-46g4"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-285"
},
{
"lang": "en",
"value": "CWE-306"
},
{
"lang": "en",
"value": "CWE-489"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
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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.
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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