FKIE_CVE-2026-15823
Vulnerability from fkie_nvd - Published: 2026-09-10 04:17 - Updated: 2026-09-11 21:17
Severity
Summary
The Builderall Cheetah For Wp plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the disable() function in versions up to, and including, 3.0.2. The wp_ajax_ba_cheetah_disable AJAX handler is registered without any capability or nonce verification, and the target post_id is sourced directly from user-controlled $_POST['ba_cheetah_data']['post_id']. This makes it possible for authenticated attackers, with Subscriber-level access and above, to disable the page builder layout on arbitrary posts by setting the _ba_cheetah_enabled post meta to false, including on posts owned by other users.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Builderall for WordPress",
"vendor": "builderall",
"versions": [
{
"lessThanOrEqual": "3.0.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Builderall Cheetah For Wp plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the disable() function in versions up to, and including, 3.0.2. The wp_ajax_ba_cheetah_disable AJAX handler is registered without any capability or nonce verification, and the target post_id is sourced directly from user-controlled $_POST[\u0027ba_cheetah_data\u0027][\u0027post_id\u0027]. This makes it possible for authenticated attackers, with Subscriber-level access and above, to disable the page builder layout on arbitrary posts by setting the _ba_cheetah_enabled post meta to false, including on posts owned by other users."
}
],
"id": "CVE-2026-15823",
"lastModified": "2026-09-11T21:17:08.513",
"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-2026-15823",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-11T20:09:59.415098Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-10T04:17:48.280",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/builderall-cheetah-for-wp/tags/3.0.2/classes/class-ba-cheetah-model.php#L208"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/builderall-cheetah-for-wp/tags/3.0.2/classes/class-ba-cheetah-model.php#L334"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/builderall-cheetah-for-wp/tags/3.0.2/classes/class-ba-cheetah-model.php#L462"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/builderall-cheetah-for-wp/tags/3.0.2/classes/class-ba-cheetah-model.php#L692"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/374c8bc8-83b1-48d3-877a-f6c8fa2f044b?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.
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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