FKIE_CVE-2025-28862
Vulnerability from fkie_nvd - Published: 2025-03-11 21:15 - Updated: 2026-06-17 09:04
Severity
4.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/
Summary
Cross-Site Request Forgery (CSRF) vulnerability in Venugopal Comment Date and Gravatar remover remove-date-and-gravatar-under-comment allows Cross Site Request Forgery.This issue affects Comment Date and Gravatar remover: from n/a through <= 1.0.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| venugopal | comment_date_and_gravatar_remover | 1.0 |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://wordpress.org/plugins",
"defaultStatus": "unaffected",
"packageName": "remove-date-and-gravatar-under-comment",
"product": "Comment Date and Gravatar remover",
"vendor": "Venugopal",
"versions": [
{
"lessThanOrEqual": "1.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "audit@patchstack.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:venugopal:comment_date_and_gravatar_remover:1.0:*:*:*:*:wordpress:*:*",
"matchCriteriaId": "10C8FFD7-31F6-4696-BA34-DA2B59F67522",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-Site Request Forgery (CSRF) vulnerability in Venugopal Comment Date and Gravatar remover remove-date-and-gravatar-under-comment allows Cross Site Request Forgery.This issue affects Comment Date and Gravatar remover: from n/a through \u003c= 1.0."
},
{
"lang": "es",
"value": "La vulnerabilidad de Cross-Site Request Forgery (CSRF) en Venugopal Comment Date and Gravatar remover permite Cross-Site Request Forgery. Este problema afecta al eliminador de comentarios, fechas y Gravatar desde n/d hasta la versi\u00f3n 1.0."
}
],
"id": "CVE-2025-28862",
"lastModified": "2026-06-17T09:04:47.170",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "audit@patchstack.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-28862",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-03-12T15:03:25.381192Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-03-11T21:15:43.490",
"references": [
{
"source": "audit@patchstack.com",
"tags": [
"Third Party Advisory"
],
"url": "https://patchstack.com/database/Wordpress/Plugin/remove-date-and-gravatar-under-comment/vulnerability/wordpress-comment-date-and-gravatar-remover-plugin-1-0-cross-site-request-forgery-csrf-vulnerability?_s_id=cve"
}
],
"sourceIdentifier": "audit@patchstack.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"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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