CVE-2025-52468: chamilo-lms · Cross-site Scripting
Affects chamilo-lmsSource CVE Database V5
Not known to be exploited · CVSS 8.8 High : upgrade to 1.11.30 soon.
Data as of 30 Oct 2026, 11:52 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 35% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 1.11.30
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 2 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
| chamilochamilo-lms | Affected
| Fixed in
|
GitHubchamilo/chamilo-lmspkg:github/chamilo/chamilo-lmsOther threats | Affected
| Fixed in
|
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AI-suggested
To mitigate CVE-2025-52468, organizations should immediately upgrade Chamilo LMS to version 1.11.30 or later, where the vulnerability is patched. In addition, implement strict input validation and sanitization controls on all user-supplied data, especially when importing from CSV files or other bulk data sources. Employ output encoding techniques to neutralize any potentially malicious scripts before rendering user profile data in web pages. Restrict CSV import permissions to trusted administrators to reduce risk of malicious data injection. Enable Content Security Policy (CSP) headers to limit script execution sources and reduce impact of potential XSS payloads. Conduct regular security audits and penetration testing focused on input handling and stored XSS vectors. Educate users to be cautious when viewing profiles and report suspicious behavior. Monitor logs for unusual activities related to user profile views and CSV imports. Finally, maintain an incident response plan to quickly address any exploitation attempts.
Description
Chamilo is a learning management system. Prior to version 1.11.30, an input validation vulnerability exists when importing user data from CSV files. This flaw occurs due to insufficient sanitization of user data, specifically in the "Last Name", "First Name", and "Username" fields. It allows attackers to inject a stored cross-site scripting (XSS) payload that is triggered when the user profile is viewed, potentially leading to malicious script execution in the context of the authenticated use. This issue has been patched in version 1.11.30.