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VulnerabilityPublished

CVE-2025-50188: chamilo-lms · SQL Injection

Affects chamilo-lmsSource CVE Database V5

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Not known to be exploited · CVSS 7.0 High : upgrade to 1.11.30 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 4.0 base score
7.0High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.8% chance of exploitation in 30 days – higher than 57% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.11.30
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade chamilo-lms and chamilo/chamilo-lms to 1.11.30.

Affected software

ProductAffectedFixed in
chamilochamilo-lmsAffected
  • <1.11.30
Fixed in
  • 1.11.30
GitHubchamilo/chamilo-lmspkg:github/chamilo/chamilo-lmsOther threatsAffected
  • <1.11.30
Fixed in
  • 1.11.30

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate this vulnerability, organizations should immediately upgrade all Chamilo LMS instances to version 1.11.30 or later, where the issue is patched. In addition to patching, organizations should conduct a thorough audit of user privileges to ensure that only trusted users have high-level access, reducing the risk of exploitation by insiders or compromised accounts. Implementing Web Application Firewalls (WAFs) with SQL Injection detection rules can provide an additional layer of defense by blocking suspicious input patterns targeting the vulnerable GET parameters. Regularly monitoring application logs for unusual database query patterns or errors related to the affected scripts can help detect attempted exploitation. Organizations should also review and harden their overall access controls and network segmentation to limit exposure of the LMS to untrusted networks. Finally, conducting security awareness training for administrators and users about the risks of privilege misuse and suspicious activity can further reduce risk.

Description

Chamilo is a learning management system. Prior to version 1.11.30, the application performs insufficient validation of data coming from the user from the GET value parameter with the following scripts: /plugin/vchamilo/views/syncparams.php and /plugin/vchamilo/ajax/service.php, which allows an attacker to perform an attack aimed at modifying the database query logic by injecting an arbitrary SQL statements. This issue has been patched in version 1.11.30.

References

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