FKIE_CVE-2025-28949
Vulnerability from fkie_nvd - Published: 2025-12-31 20:15 - Updated: 2026-06-17 09:04
Severity
Summary
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Codedraft Mediabay - WordPress Media Library Folders allows Blind SQL Injection.This issue affects Mediabay - WordPress Media Library Folders: from n/a through 1.4.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Mediabay - WordPress Media Library Folders",
"vendor": "Codedraft",
"versions": [
{
"lessThanOrEqual": "1.4",
"status": "affected",
"version": "n/a",
"versionType": "custom"
}
]
}
],
"source": "audit@patchstack.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027) vulnerability in Codedraft Mediabay - WordPress Media Library Folders allows Blind SQL Injection.This issue affects Mediabay - WordPress Media Library Folders: from n/a through 1.4."
},
{
"lang": "es",
"value": "Neutralizaci\u00f3n Incorrecta de Elementos Especiales utilizados en un Comando SQL (\u0027Inyecci\u00f3n SQL\u0027) vulnerabilidad en Codedraft Mediabay - Carpetas de la Biblioteca de Medios de WordPress permite Inyecci\u00f3n SQL Ciega. Este problema afecta a Mediabay - Carpetas de la Biblioteca de Medios de WordPress: desde n/a hasta 1.4."
}
],
"id": "CVE-2025-28949",
"lastModified": "2026-06-17T09:04:56.480",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 8.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 4.7,
"source": "audit@patchstack.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-28949",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-02T19:29:04.404282Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-31T20:15:42.060",
"references": [
{
"source": "audit@patchstack.com",
"url": "https://patchstack.com/database/wordpress/plugin/mediabay/vulnerability/wordpress-mediabay-wordpress-media-library-folders-1-4-sql-injection-vulnerability?_s_id=cve"
}
],
"sourceIdentifier": "audit@patchstack.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "audit@patchstack.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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