Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-24725 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Gibbonedu Gibbon. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 1% 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.
Gibbon versions through 26.0.00 contain a PHP deserialization vulnerability (CWE-502) that permits remote authenticated users to supply attacker-controlled data in the columnOrder parameter of a POST request to modules/System Admin/import_run.php with type=externalAssessment and step=4. The flaw stems from unsafe handling of serialized input during external assessment imports, allowing object instantiation and method invocation without additional sanitization.
An authenticated attacker with low-privileged access can craft a malicious serialized payload to execute arbitrary PHP code, resulting in full confidentiality, integrity, and availability impact on the affected installation. The CVSS 3.1 score of 8.8 reflects network-accessible exploitation that requires no user interaction and yields complete system compromise.
Public references direct administrators to the Gibbon download page for updated releases that address the issue, while Exploit-DB entry 51903 demonstrates working proof-of-concept code for the deserialization vector.
The associated EPSS score has reached a peak of 0.8197 with a current value of 0.8112, indicating sustained exploitation interest following disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-22124
Vulnerability Data
Gibbon through 26.0.00 allows remote authenticated users to conduct PHP deserialization attacks via columnOrder in a POST request to the modules/System%20Admin/import_run.php&type=externalAssessment&step=4 URI.
- 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.