CVE-2025-54923
Published: 20 August 2025
Summary
CVE-2025-54923 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Schneider Electric (inferred from references). Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 16.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-54923 is a CWE-502 Deserialization of Untrusted Data vulnerability affecting a network-exposed service that performs unsafe deserialization. The flaw carries a CVSS 4.0 score of 8.7 and enables remote code execution with full compromise of system integrity when triggered.
Authenticated users with network access can exploit the issue by submitting specially crafted serialized data to the affected service. Successful exploitation grants the attacker the ability to execute arbitrary code, resulting in high impact to confidentiality, integrity, and availability without requiring user interaction.
The vendor advisory SEVD-2025-224-02 provides mitigation guidance for the affected Schneider Electric products. The EPSS score remains low and unchanged at 0.0193, indicating limited observed exploitation interest to date.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-25294
Vulnerability details
CWE-502: Deserialization of Untrusted Data vulnerability exists that could cause remote code execution and compromise of system integrity when authenticated users send crafted data to a network-exposed service that performs unsafe deserialization.
- 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.