FKIE_CVE-2026-11355
Vulnerability from fkie_nvd - Published: 2026-09-12 08:16 - Updated: 2026-09-12 08:16
Severity
Summary
The DT LMS – elearning, WordPress LMS plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on multiple AJAX handlers (including dtlms_save_poc_settings, dtlms_save_skin_settings, and dtlms_save_options_settings) in versions up to, and including, 1.1. These handlers are registered on the wp_ajax_nopriv_* hook and contain no capability check, no nonce verification, and pass user-supplied data directly to update_option(). This makes it possible for unauthenticated attackers to overwrite arbitrary plugin option values stored in the wp_options table, including Point-of-Contact email configuration and skin/branding settings, which can be used to alter the appearance and behavior of the LMS for all site visitors.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "DT LMS \u2013 elearning, WordPress LMS Plugin",
"vendor": "designthemes",
"versions": [
{
"lessThanOrEqual": "1.1",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The DT LMS \u2013 elearning, WordPress LMS plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on multiple AJAX handlers (including dtlms_save_poc_settings, dtlms_save_skin_settings, and dtlms_save_options_settings) in versions up to, and including, 1.1. These handlers are registered on the wp_ajax_nopriv_* hook and contain no capability check, no nonce verification, and pass user-supplied data directly to update_option(). This makes it possible for unauthenticated attackers to overwrite arbitrary plugin option values stored in the wp_options table, including Point-of-Contact email configuration and skin/branding settings, which can be used to alter the appearance and behavior of the LMS for all site visitors."
}
],
"id": "CVE-2026-11355",
"lastModified": "2026-09-12T08:16:22.523",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Primary"
}
]
},
"published": "2026-09-12T08:16:22.523",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/dt-lms-lite/trunk/settings/settings-poc-utils.php#L102"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/dt-lms-lite/trunk/settings/settings-poc-utils.php#L97"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/dt-lms-lite/trunk/settings/settings-utils.php#L15"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/dt-lms-lite/trunk/settings/settings-utils.php#L53"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/dt-lms-lite/trunk/settings/settings-utils.php#L59"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3585901%40dt-lms-lite\u0026new=3585901%40dt-lms-lite"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/fe5bd645-0707-43ce-9316-d52f60035754?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security@wordfence.com",
"type": "Primary"
}
]
}
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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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