FKIE_CVE-2026-93882
Vulnerability from fkie_nvd - Published: 2026-10-01 08:16 - Updated: 2026-10-01 12:40
Severity
Summary
The LearnPress – WordPress LMS Plugin for Create and Sell Online Courses plugin for WordPress is vulnerable to Insecure Direct Object Reference in versions up to, and including, 4.4.8 via the CourseMaterialTemplate::render_material_items() callback exposed on the public lp-ajax-handle (load_content_via_ajax) endpoint. The endpoint is explicitly listed in the AbstractAjax no-nonce allowlist and performs no capability check, and the render_material_items() handler decides authorization against one attacker-supplied identifier (course_id) while fetching the returned material rows via a second, independently attacker-supplied identifier (item_id) with no check that the lesson belongs to the authorized course. This makes it possible for unauthenticated attackers to read and download course-material files (uploaded and external file paths/URLs) belonging to lessons in paid or enrollment-required courses, provided any single course on the site has 'No Required Enroll' enabled and owns at least one material file.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "LearnPress \u2013 WordPress LMS Plugin for Create and Sell Online Courses",
"vendor": "thimpress",
"versions": [
{
"lessThanOrEqual": "4.4.8",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The LearnPress \u2013 WordPress LMS Plugin for Create and Sell Online Courses plugin for WordPress is vulnerable to Insecure Direct Object Reference in versions up to, and including, 4.4.8 via the CourseMaterialTemplate::render_material_items() callback exposed on the public lp-ajax-handle (load_content_via_ajax) endpoint. The endpoint is explicitly listed in the AbstractAjax no-nonce allowlist and performs no capability check, and the render_material_items() handler decides authorization against one attacker-supplied identifier (course_id) while fetching the returned material rows via a second, independently attacker-supplied identifier (item_id) with no check that the lesson belongs to the authorized course. This makes it possible for unauthenticated attackers to read and download course-material files (uploaded and external file paths/URLs) belonging to lessons in paid or enrollment-required courses, provided any single course on the site has \u0027No Required Enroll\u0027 enabled and owns at least one material file."
}
],
"id": "CVE-2026-93882",
"lastModified": "2026-10-01T12:40:28.083",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security@wordfence.com",
"type": "Primary"
}
]
},
"published": "2026-10-01T08:16:53.330",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/learnpress/tags/4.4.7/inc/Ajax/AbstractAjax.php#L31"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/learnpress/tags/4.4.7/inc/Ajax/LoadContentViaAjax.php#L25"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/learnpress/tags/4.4.7/inc/Databases/class-lp-material-db.php#L92"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/learnpress/tags/4.4.7/inc/TemplateHooks/Course/CourseMaterialTemplate.php#L113"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/learnpress/tags/4.4.7/inc/TemplateHooks/Course/CourseMaterialTemplate.php#L143"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/1f35f646-1bd6-4785-bdc2-c815644b2b2d?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"source": "security@wordfence.com",
"type": "Primary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…