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CVE-2025-50187: CWE-95: Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in chamilo chamilo-lms

0
Critical
VulnerabilityCVE-2025-50187cvecve-2025-50187cwe-95
Published: Mon Mar 02 2026 (03/02/2026, 14:37:20 UTC)
Source: CVE Database V5
Vendor/Project: chamilo
Product: chamilo-lms

Description

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.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/09/2026, 17:20:59 UTC

Technical Analysis

CVE-2025-50187 is a critical vulnerability identified in the Chamilo learning management system (LMS) affecting all versions prior to 1.11.28. The root cause is an improper neutralization of directives in dynamically evaluated code, classified under CWE-95 (Eval Injection). Specifically, a parameter received via a SOAP request is directly evaluated without adequate filtering or sanitization, enabling an attacker to inject malicious code that the system executes. This flaw allows remote attackers to perform arbitrary code execution on the server hosting the vulnerable Chamilo LMS instance. The vulnerability requires no authentication or user interaction, making it highly exploitable over the network. The CVSS v3.1 base score is 9.8, reflecting its critical severity with network attack vector, low attack complexity, no privileges required, and full impact on confidentiality, integrity, and availability. Although no known exploits have been reported in the wild yet, the ease of exploitation and severity warrant immediate attention. The issue was addressed and patched in Chamilo LMS version 1.11.28, which properly sanitizes input before evaluation. This vulnerability poses a significant risk to organizations relying on Chamilo LMS for educational or training purposes, especially those exposing SOAP services to untrusted networks.

Potential Impact

The impact of CVE-2025-50187 is severe for organizations worldwide using vulnerable Chamilo LMS versions. Successful exploitation leads to remote code execution, allowing attackers to fully compromise the affected system. This can result in unauthorized access to sensitive educational data, manipulation or deletion of records, disruption of LMS availability, and potential lateral movement within the network. Given Chamilo's role in managing learning content and user information, breaches could expose personal data of students and staff, violating privacy regulations. The vulnerability’s network accessibility and lack of authentication requirements increase the risk of widespread attacks, especially in environments where the SOAP interface is exposed externally or insufficiently segmented. Organizations may face operational downtime, reputational damage, and regulatory penalties if exploited. The absence of known exploits in the wild currently provides a window for proactive mitigation, but the critical nature demands urgent patching and security reviews.

Mitigation Recommendations

To mitigate CVE-2025-50187, organizations should immediately upgrade Chamilo LMS to version 1.11.28 or later, where the vulnerability is patched. If immediate upgrade is not feasible, restrict access to the SOAP interface by implementing network-level controls such as firewalls or VPNs to limit exposure to trusted users only. Conduct thorough input validation and sanitization on all SOAP parameters to prevent injection attacks. Employ web application firewalls (WAFs) with rules targeting eval injection patterns to detect and block malicious payloads. Regularly audit and monitor LMS logs for suspicious activity indicative of exploitation attempts. Additionally, isolate the LMS environment from critical internal networks to contain potential breaches. Educate administrators on secure configuration practices and ensure timely application of future security updates. Finally, consider deploying intrusion detection/prevention systems (IDS/IPS) tuned for web service attacks to enhance detection capabilities.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2025-06-13T19:17:51.727Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69a5a50b32ffcdb8a23b6e4e

Added to database: 3/2/2026, 2:56:11 PM

Last enriched: 3/9/2026, 5:20:59 PM

Last updated: 4/16/2026, 1:48:40 AM

Views: 317

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