FKIE_CVE-2026-92712
Vulnerability from fkie_nvd - Published: 2026-09-30 09:17 - Updated: 2026-09-30 16:19
Severity
Summary
The ReactPress – Create React App for WordPress plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'permalink' parameter in all versions up to, and including, 3.4.0 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with subscriber-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. This is possible because the permalink parameter is only passed through sanitize_url(), which does not prevent fetching attacker-controlled remote URLs whose response body — including script tags and event-handler attributes — is written verbatim to disk via file_put_contents().
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "ReactPress \u2013 Create React App for WordPress",
"vendor": "rockiger",
"versions": [
{
"lessThanOrEqual": "3.4.0",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The ReactPress \u2013 Create React App for WordPress plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the \u0027permalink\u0027 parameter in all versions up to, and including, 3.4.0 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with subscriber-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. This is possible because the permalink parameter is only passed through sanitize_url(), which does not prevent fetching attacker-controlled remote URLs whose response body \u2014 including script tags and event-handler attributes \u2014 is written verbatim to disk via file_put_contents()."
}
],
"id": "CVE-2026-92712",
"lastModified": "2026-09-30T16:19:25.270",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 2.7,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-92712",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-30T12:53:07.068122Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-30T09:17:16.477",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/reactpress/tags/3.4.0/admin/Admin.php#L220"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/reactpress/tags/3.4.0/admin/Controller.php#L201"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/reactpress/tags/3.4.0/admin/Controller.php#L339"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/reactpress/tags/3.4.0/includes/Core.php#L153"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/eaea5a3b-6565-4aa0-864d-5a2b764075fd?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"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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