Cyber Resilience

CVE-2023-40555

High

Published: 20 December 2023

Published
20 December 2023
Modified
28 April 2026
KEV Added
Patch
CVSS Score v3.1 8.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:L
EPSS Score 0.0015 35.4th percentile
Risk Priority 17 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-40555 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Uxthemes Flatsome. Its CVSS base score is 8.3 (High).

Operationally, ranked at the 35.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Deserialization of Untrusted Data vulnerability in UX-themes Flatsome | Multi-Purpose Responsive WooCommerce Theme.This issue affects Flatsome | Multi-Purpose Responsive WooCommerce Theme: from n/a through 3.17.5.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

uxthemes
flatsome
≤ 3.17.6

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.

addresses: CWE-502

Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.

addresses: CWE-502

Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.

addresses: CWE-502

Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.

addresses: CWE-502

Validates or rejects untrusted serialized data before deserialization occurs.

addresses: CWE-502

Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.

addresses: CWE-502

Integrity verification of serialized information can detect tampering before deserialization occurs.

addresses: CWE-502

Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.

References