CVE-2025-47163
Published: 10 June 2025
Summary
CVE-2025-47163 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Microsoft Sharepoint Server. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 5.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-47163 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 8.8 and permits remote code execution when an attacker supplies crafted serialized data to the affected component.
An authorized user with network access can exploit the issue without user interaction. Successful exploitation grants the attacker the ability to execute arbitrary code, resulting in full compromise of confidentiality, integrity, and availability on the target SharePoint server.
The official Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-47163 provides patch and mitigation guidance. The EPSS score reached a peak of 0.2326 after disclosure before settling at the current value of 0.1394, indicating a noticeable increase in exploitation interest following publication.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-17736
Vulnerability details
Deserialization of untrusted data in Microsoft Office SharePoint allows an authorized attacker to execute code over a network.
- 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.