CVE-2024-1225
Published: 05 February 2024
Summary
CVE-2024-1225 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Qibosoft Qibocms X1. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 39.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-16992
Vulnerability details
A vulnerability classified as critical was found in QiboSoft QiboCMS X1 up to 1.0.6. Affected by this vulnerability is the function rmb_pay of the file /application/index/controller/Pay.php. The manipulation of the argument callback_class leads to deserialization. The attack can be launched…
more
remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-252847. NOTE: 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 public-facing web application Pay.php allows remote attackers to manipulate callback_class parameter for remote code execution.
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.