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CVE-2025-50194 is an OS Command Injection vulnerability in Chamilo LMS, a widely used open-source learning management system. The flaw exists in /main/cron/lang/check_parse_lang.php (with the root cause in main/admin/sub_language_add.php) and affects all versions prior to 1.11.30 (specifically confirmed through version 1.11.28). It was disclosed on March 2, 2026, by researcher Vladimir Vlasov of Positive Technologies, and patched in version 1.11.30. The vulnerability carries a CVSS v3.1 base score of 7.2 (High) and a CVSS v4.0 base score of 7.1 (High) (GitHub Advisory, Feedly).
The vulnerability is classified as CWE-78 (Improper Neutralization of Special Elements used in an OS Command) and stems from insufficient server-side validation of the english_name POST parameter in main/admin/sub_language_add.php. The application previously only replaced spaces with underscores (str_replace(' ', '_', $english_name)) before passing the value to OS-level operations, allowing an attacker to inject shell metacharacters or command delimiters. Exploitation requires an authenticated session with administrator-level privileges and is conducted over the network with no user interaction required. The fix replaces the naive sanitization with a call to api_replace_dangerous_char(), which strips or escapes dangerous characters before use (GitHub Advisory, GitHub Commit).
Successful exploitation allows an authenticated administrator to execute arbitrary OS commands on the application server in the context of the web server process. This can result in full system compromise, including unauthorized access to sensitive data (e.g., student records, credentials), modification or deletion of system files, and disruption of service availability. While the vulnerability requires high privileges, a compromised or malicious administrator account could leverage it for lateral movement within the hosting environment (GitHub Advisory, Feedly).
A proof-of-concept reference is available via the GitHub Security Advisory, though no weaponized exploit code or active in-the-wild exploitation has been reported as of the time of disclosure (GitHub Advisory). The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. The EPSS score is approximately 0.643%, indicating a low but non-negligible probability of exploitation in the near term (Feedly). Exploitation is constrained by the requirement for administrator-level credentials, which limits the attacker pool.
/main/admin/sub_language_add.php.english_name POST parameter containing shell metacharacters (e.g., validname; id or validname$(whoami)) to inject an arbitrary OS command./main/cron/lang/check_parse_lang.php, executing the injected command in the context of the web server process./main/admin/sub_language_add.php or /main/cron/lang/check_parse_lang.php; unexpected DNS lookups from the server./main/admin/sub_language_add.php with english_name values containing shell metacharacters (;, $(), |, `); PHP error logs referencing unexpected command execution./bin/sh, bash, curl, wget, nc, python) visible in process listings or audit logs (GitHub Advisory).The primary remediation is to upgrade Chamilo LMS to version 1.11.30 or later, which replaces the vulnerable input handling with a call to api_replace_dangerous_char() in main/admin/sub_language_add.php (GitHub Commit, Release Notes). As a temporary workaround, restrict network-level access to /main/admin/sub_language_add.php and /main/cron/lang/check_parse_lang.php to trusted administrator IPs only. Additionally, review and minimize the number of accounts with administrator privileges, and monitor logs for suspicious activity targeting these endpoints (GitHub Advisory).
The vulnerability was discovered and reported by Vladimir Vlasov of Positive Technologies, a well-known security research firm (GitHub Advisory). The Chamilo project maintainers responded promptly, publishing the advisory and patch on March 2, 2026. No significant broader media coverage or notable social media discussion has been identified beyond standard vulnerability database entries.
Source: This report was generated using AI
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