CVE-2026-35196 (GCVE-0-2026-35196)
Vulnerability from cvelistv5 – Published: 2026-04-14 21:33 – Updated: 2026-04-15 14:27
VLAI
EPSS
VEX
Title
Chamilo LMS has OS Command Injection via export_all_certificates action
Summary
Chamilo LMS is an open-source learning management system. In versions prior to 2.0.0-RC.3, an OS Command Injection vulnerability exists in the main/inc/ajax/gradebook.ajax.php endpoint within the export_all_certificates action, where the course code retrieved from the session variable $_SESSION['_cid'] via api_get_course_id() is concatenated directly into a shell_exec() command string without sanitization or escaping using escapeshellarg(). If an attacker can manipulate or poison their session data to inject shell metacharacters into the _cid variable, they can achieve arbitrary command execution on the underlying server. Successful exploitation grants full access to read system files and credentials, alters the application and database, or disrupts server availability. This issue has been fixed in version 2.0.0-RC.3.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-15 14:27 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/chamilo/chamilo-lms/security/a… | x_refsource_CONFIRM |
| https://github.com/chamilo/chamilo-lms/commit/626… | x_refsource_MISC |
| https://github.com/chamilo/chamilo-lms/releases/t… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| chamilo | chamilo-lms |
Affected:
< 2.0.0-RC.3
|
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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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