CVE-2024-9917
Published: 13 October 2024
Summary
CVE-2024-9917 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Usualtool Usualtoolcms. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 13.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-50209
Vulnerability details
A vulnerability, which was classified as critical, was found in HuangDou UTCMS V9. This affects an unknown part of the file app/modules/ut-template/admin/template_creat.php. The manipulation of the argument content leads to deserialization. It is possible to initiate the attack remotely. The…
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exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Deserialization vulnerability (CWE-502) in admin template creation endpoint enables remote code execution via public-facing web application exploitation (T1190) and facilitates arbitrary PHP webshell creation for persistent remote access (T1100).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.