CVE-2025-30382
Published: 13 May 2025
Summary
CVE-2025-30382 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Microsoft Sharepoint Server. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 19.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-30382 is a deserialization of untrusted data vulnerability, tracked under CWE-502, that affects Microsoft Office SharePoint. The flaw carries a CVSS 3.1 base score of 7.8 and permits an attacker to execute arbitrary code on an affected system when the vulnerability is triggered.
An unauthorized attacker can exploit the issue locally without any privileges, provided the victim performs a required user interaction such as opening a malicious file. Successful exploitation grants the attacker full control over confidentiality, integrity, and availability on the target system.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-30382 contains the authoritative guidance on available patches and mitigation steps. The associated EPSS score has remained flat at a low value of 0.0141 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-14453
Vulnerability details
Deserialization of untrusted data in Microsoft Office SharePoint allows an unauthorized attacker to execute code locally.
- 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.