CVE-2024-3740
Published: 13 April 2024
Summary
CVE-2024-3740 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Cym1102 Nginxwebui. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 21.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-32314
Vulnerability details
A vulnerability, which was classified as critical, has been found in cym1102 nginxWebUI up to 3.9.9. This issue affects the function exec of the file /adminPage/conf/reload. The manipulation of the argument nginxExe leads to deserialization. The attack may be initiated…
more
remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-260579.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The deserialization vulnerability (CWE-502) in the nginxWebUI web interface at /adminPage/conf/reload allows remote, likely unauthenticated attackers to manipulate the nginxExe parameter for remote code execution, directly enabling exploitation of public-facing applications.
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.