CVE-2024-52433
Published: 18 November 2024
Summary
CVE-2024-52433 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Mindstien My Geo Posts Free. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 0.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-52433 is a Deserialization of Untrusted Data vulnerability, also described as PHP Object Injection under CWE-502, that affects the My Geo Posts Free WordPress plugin by Mindstien Technologies. The flaw impacts all versions from n/a through 1.2 and carries a CVSS 3.1 score of 9.8, reflecting network-accessible exploitation with no required authentication or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated attacker can supply a crafted serialized object to the plugin, triggering unsafe deserialization that may allow arbitrary object instantiation, property manipulation, or execution of attacker-controlled code on the affected WordPress site.
The single reference points to a Patchstack advisory that catalogs the vulnerability in the My Geo Posts Free plugin; administrators should apply any available vendor update or remove the plugin until a fix is released.
The associated EPSS score has reached a peak of 0.8270 with a current value of 0.8045, indicating sustained exploitation interest following disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46003
Vulnerability details
Deserialization of Untrusted Data vulnerability in Mindstien Technologies My Geo Posts Free my-geo-posts-free allows Object Injection.This issue affects My Geo Posts Free: from n/a through <= 1.2.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.