Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-50187 is a critical-severity Eval Injection (CWE-95) vulnerability in Chamilo Chamilo Lms. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked in the top 44% 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-2025-50187 is a critical remote code execution (RCE) vulnerability in Chamilo, an open-source learning management system. In versions prior to 1.11.28, a parameter from a SOAP request is evaluated without proper filtering, allowing arbitrary code injection. This flaw is categorized under CWE-95 (Improper Neutralization of Directives in Dynamically Evaluated Code) and has a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), reflecting its high severity due to network accessibility and comprehensive impact on confidentiality, integrity, and availability.
The vulnerability can be exploited by any unauthenticated attacker with network access to the Chamilo instance. Exploitation requires low complexity and no user interaction, enabling the attacker to execute arbitrary code on the server, potentially leading to full system compromise, data theft, or further lateral movement within the environment.
Chamilo has patched this issue in version 1.11.28. Administrators are advised to upgrade immediately to mitigate the risk. Additional details are available in the GitHub security advisory (GHSA-356v-7xg2-3678) at https://github.com/chamilo/chamilo-lms/security/advisories/GHSA-356v-7xg2-3678 and the release notes at https://github.com/chamilo/chamilo-lms/releases/tag/v1.11.28.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208156
Vulnerability Data
Chamilo is a learning management system. Prior to version 1.11.28, parameter from SOAP request is evaluated without filtering which leads to Remote Code Execution. This issue has been patched in version 1.11.28.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and code analysis can discover eval-injection flaws but does not stop their introduction.
Input validation explicitly requires neutralizing untrusted data before it reaches dynamic evaluation constructs such as eval.
Secure-development standards and tools can mandate safe coding patterns that avoid unsafe dynamic evaluation.
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.
Secure SDLC practices directly require input neutralization and avoidance of unsafe dynamic evaluation.
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 in development can detect eval injection vulnerabilities before deployment.
Secure development life cycle mandates input validation and safe coding practices that directly prevent eval injection.
Application security requirements include rules against dynamic code execution of untrusted input.
Secure architecture principles discourage unsafe dynamic evaluation constructs.
Secure coding explicitly requires neutralization of input before dynamic evaluation, directly mitigating eval injection.
Separation of environments limits the blast radius if eval injection occurs in non-production.