Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/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-2024-47886 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Chamilo Chamilo Lms. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 43% of CVEs by exploit likelihood; 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 SA-11 (Developer Testing and Evaluation) 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.
CVE-2024-47886 is a post-authentication PHP Archive (phar) deserialization vulnerability in Chamilo, an open-source learning management system. It affects versions 1.11.12 through 1.11.26 and stems from improper handling of unserialized phar data, classified under CWE-502 (Deserialization of Untrusted Data). The flaw is exploitable by abusing features in the vchamilo virtualization plugin, enabling remote code execution (RCE) on the server, with a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
Exploitation requires authenticated administrator privileges (PR:H), making it a high-privilege issue rather than a zero-day for unauthenticated attackers. A malicious administrator can leverage the vulnerability through supported plugin features to execute arbitrary code remotely on the underlying server, potentially leading to full system compromise, data exfiltration, or further lateral movement.
The issue has been addressed in Chamilo version 1.11.26, as detailed in the project's security advisory (GHSA-c4fc-vjm9-9mvc) and release notes for v1.11.28 on GitHub. Security practitioners should upgrade to the patched version or later and review access controls for administrator accounts in affected deployments.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-55455
Vulnerability Data
Chamilo is a learning management system. Chamillo is affected by a post-authentication phar unserialize which leads to a remote code execution (RCE) within versions 1.11.12 to 1.11.26. By abusing multiple supported features from the virtualization plugin vchamilo, the vulnerability allows…
more
an administrator to execute arbitrary code on the server. This issue has been patched in version 1.11.26.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
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.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
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.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.