FKIE_CVE-2025-14426
Vulnerability from fkie_nvd - Published: 2025-12-30 13:16 - Updated: 2026-06-17 08:35
Severity
Summary
The Strong Testimonials plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check in the 'edit_rating' function in all versions up to, and including, 3.2.18. This makes it possible for authenticated attackers with Contributor-level access and above to modify or delete the rating meta on any testimonial post, including those created by other users, by reusing a valid nonce obtained from their own testimonial edit screen.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Strong Testimonials",
"vendor": "wpchill",
"versions": [
{
"lessThanOrEqual": "3.2.18",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Strong Testimonials plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check in the \u0027edit_rating\u0027 function in all versions up to, and including, 3.2.18. This makes it possible for authenticated attackers with Contributor-level access and above to modify or delete the rating meta on any testimonial post, including those created by other users, by reusing a valid nonce obtained from their own testimonial edit screen."
},
{
"lang": "es",
"value": "El plugin Strong Testimonials para WordPress es vulnerable a la modificaci\u00f3n no autorizada de datos debido a una comprobaci\u00f3n de capacidad faltante en la funci\u00f3n \u0027edit_rating\u0027 en todas las versiones hasta la 3.2.18, inclusive. Esto hace posible que atacantes autenticados con acceso de nivel Colaborador o superior modifiquen o eliminen los metadatos de calificaci\u00f3n en cualquier publicaci\u00f3n de testimonio, incluidas las creadas por otros usuarios, al reutilizar un nonce v\u00e1lido obtenido de su propia pantalla de edici\u00f3n de testimonios."
}
],
"id": "CVE-2025-14426",
"lastModified": "2026-06-17T08:35:54.640",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-14426",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-12-30T12:52:12.713000Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-12-30T13:16:22.490",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/strong-testimonials/tags/3.2.18/admin/class-strong-testimonials-post-editor.php#L29"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/strong-testimonials/tags/3.2.18/admin/class-strong-testimonials-post-editor.php#L379"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset/3416480/"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/c83f48dd-9070-412d-b911-98581a81e29a?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security@wordfence.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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