Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-50197 is a high-severity OS Command Injection (CWE-78) vulnerability in Chamilo Chamilo Lms. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 16% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-50197 is an OS Command Injection vulnerability (CWE-78) affecting Chamilo, an open-source learning management system. The flaw exists in the file /main/admin/sub_language_ajax.inc.php, where the POST new_language parameter is processed without proper sanitization, allowing arbitrary command execution on the underlying operating system. It impacts all versions of Chamilo prior to 1.11.30 and was published on 2026-03-02 with a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
An authenticated attacker with high privileges, such as an administrator, can exploit this vulnerability over the network with low complexity and no user interaction required. By sending a malicious payload in the new_language POST parameter during an AJAX request to the affected endpoint, the attacker can execute arbitrary operating system commands. This leads to high-impact consequences, including unauthorized access to sensitive data (C:H), modification of system files or configurations (I:H), and potential denial of service or full server compromise (A:H).
The vulnerability has been addressed in Chamilo version 1.11.30, where the issue was patched via a commit available at https://github.com/chamilo/chamilo-lms/commit/e1c7879d63172cd7e5e47c9a03ade0e32023e134. Security practitioners should upgrade to this version immediately, as detailed in the release notes at https://github.com/chamilo/chamilo-lms/releases/tag/v1.11.30 and the GitHub Security Advisory at https://github.com/chamilo/chamilo-lms/security/advisories/GHSA-m76m-95c9-6h7r.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208166
Vulnerability Data
Chamilo is a learning management system. Prior to version 1.11.30, there is an OS Command Injection vulnerability in /main/admin/sub_language_ajax.inc.php via the POST new_language parameter. This issue has been patched in version 1.11.30.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.5V1.2.8V15.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect command sanitization during development.
Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.
Least privilege reduces the permissions available to any process that could be subverted by injected commands.
Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.
Secure engineering principles require proper neutralization of untrusted input before command construction.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-06's SDLC practices directly require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.
Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.