Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-50199 is a high-severity SSRF (CWE-918) vulnerability in Chamilo Chamilo Lms. Its CVSS base score is 7.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 29th percentile by exploit likelihood (below the median); 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 AC-4 (Information Flow Enforcement) 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.
Chamilo, an open-source learning management system, is affected by CVE-2025-50199, a blind Server-Side Request Forgery (SSRF) vulnerability classified under CWE-918. The flaw exists in versions prior to 1.11.30, specifically within the /index.php endpoint through the POST openid_url parameter. This vulnerability has a CVSS v3.1 base score of 9.1 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H), indicating critical severity due to its network accessibility, low attack complexity, and lack of required privileges or user interaction.
Unauthenticated attackers can exploit this blind SSRF over the network by sending crafted POST requests to the vulnerable endpoint. Successful exploitation allows remote attackers to induce the server to make unauthorized requests to internal or external resources, potentially leading to high-impact confidentiality violations, such as accessing internal services or metadata, and high-impact availability disruptions, including denial-of-service conditions against backend systems.
The vulnerability has been addressed in Chamilo version 1.11.30, as detailed in the official release notes and GitHub security advisory. Security practitioners should prioritize upgrading to this patched version to mitigate the issue, with further technical details available at https://github.com/chamilo/chamilo-lms/releases/tag/v1.11.30 and https://github.com/chamilo/chamilo-lms/security/advisories/GHSA-jv2w-m5r6-p52h.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-208172
Vulnerability Data
Chamilo is a learning management system. Prior to version 1.11.30, there is a blind SSRF vulnerability in /index.php via the POST openid_url parameter. This issue has been patched in version 1.11.30.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
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 development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.