CVE-2026-12483 (GCVE-0-2026-12483)
Vulnerability from cvelistv5 – Published: 2026-09-04 13:29 – Updated: 2026-09-04 17:57
VLAI
EPSS
VEX
Title
LearnDash LMS <= 5.1.5 - Authenticated (Subscriber+) Arbitrary File Upload via Assignment Upload Handler
Summary
The LearnDash LMS plugin for WordPress is vulnerable to Unrestricted File Type Upload in versions up to and including 5.1.5. This is due to insufficient input validation in the 'learndash_fileupload_process' function, which iterates through an entire array and validates only the first file. This makes it possible for authenticated attackers, with subscriber-level access and above who are enrolled in a course with assignment uploads enabled, to upload arbitrary disallowed files, including PHP files, to the server's wp-content/uploads/learndash/assignments/ directory. The uploaded files can only be used for Remote Code Execution if default server configurations have been changed to allow for execution.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-04 17:56 UTC
CWE
- CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| StellarWP | LearnDash LMS |
Affected:
0 , ≤ 5.1.5
(semver)
|
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.
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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