CVE-2019-13082 (GCVE-0-2019-13082)
Vulnerability from cvelistv5 – Published: 2019-06-30 15:07 – Updated: 2024-08-04 23:41
VLAI
EPSS
VEX
Summary
Chamilo LMS 1.11.8 and 2.x allows remote code execution through an lp_upload.php unauthenticated file upload feature. It extracts a ZIP archive before checking its content, and once it has been extracted, does not check files in a recursive way. This means that by putting a .php file in a folder and then this folder in a ZIP archive, the server will accept this file without any checks. Because one can access this file from the website, it is remote code execution. This is related to a scorm imsmanifest.xml file, the import_package function, and extraction in $courseSysDir.$newDir.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://0xecute.com/?p=32 | x_refsource_MISC |
| https://support.chamilo.org/projects/1/wiki/Secur… | x_refsource_MISC |
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}
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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.
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