CVE-2023-3368 (GCVE-0-2023-3368)
Vulnerability from cvelistv5 – Published: 2023-11-28 07:05 – Updated: 2025-06-03 13:58Title
Chamilo LMS Unauthenticated Command Injection
Summary
Command injection in `/main/webservices/additional_webservices.php` in Chamilo LMS <= v1.11.20 allows unauthenticated attackers to obtain remote code execution via improper neutralisation of special characters. This is a bypass of CVE-2023-34960.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-03 13:58 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://support.chamilo.org/projects/chamilo-18/w… | vendor-advisory |
| https://starlabs.sg/advisories/23/23-3368/ | third-party-advisory |
| https://github.com/chamilo/chamilo-lms/commit/37b… | patch |
| https://https://github.com/chamilo/chamilo-lms/co… | patch |
Impacted products
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 060d2e69-b22c-499e-bd3f-8f5c4daa7ba7
Exploited: Yes
Characteristics
Severity:
98.0
Timestamps
First Seen: 2026-03-09
Asserted: 2026-03-09
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Chamilo / Chamilo | Class: cms | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-09-06: 42
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 3 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | cms |
| 7D Avg | 2 |
| Vendor | Chamilo |
| 30D Avg | 1 |
| 90D Avg | 1 |
| Product | Chamilo |
| Cisa Kev | no |
| Connections | 42 |
| Observation Date | 2026-09-06 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Created: 2026-07-01 05:54 UTC
| Updated: 2026-09-08 01:01 UTC
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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
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