CVE-2025-11923 (GCVE-0-2025-11923)
Vulnerability from cvelistv5 – Published: 2025-11-13 03:27 – Updated: 2025-11-13 14:34
VLAI
EPSS
VEX
Title
LifterLMS – WP LMS for eLearning, Online Courses, & Quizzes - Various Versions - Authenticated (Student+) Privilege Escalation
Summary
The LifterLMS – WP LMS for eLearning, Online Courses, & Quizzes plugin for WordPress is vulnerable to privilege escalation. This is due to the plugin not properly validating a user's identity prior to allowing them to modify their own role via the REST API. The permission check in the update_item_permissions_check() function returns true when a user updates their own account without verifying the role changes. This makes it possible for authenticated attackers, with student-level access and above, to escalate their privileges to administrator by updating their own roles array via a crafted REST API request. Another endpoint intended for instructors also provides an attack vector. Affected version ranges are 3.5.3-3.41.2, 4.0.0-4.21.3, 5.0.0-5.10.0, 6.0.0-6.11.0, 7.0.0-7.8.7, 8.0.0-8.0.7, 9.0.0-9.0.7, 9.1.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-13 14:27 UTC
CWE
- CWE-269 - Improper Privilege Management
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| chrisbadgett | LifterLMS – WP LMS for eLearning, Online Courses, & Quizzes |
Affected:
3.5.3 , ≤ 3.41.1
(semver)
Affected: 4.0.0 , ≤ 4.21.3 (semver) Affected: 5.0.0 , ≤ 5.10.0 (semver) Affected: 6.0.0 , ≤ 6.11.0 (semver) Affected: 7.0.0 , ≤ 7.8.7 (semver) Affected: 8.0.0 , ≤ 8.0.7 (semver) Affected: 9.0.0 , ≤ 9.0.7 (semver) Affected: 9.1.0 |
guessed |
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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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