CVE-2025-47732
Published: 08 May 2025
Summary
CVE-2025-47732 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Microsoft Dataverse. Its CVSS base score is 8.7 (High).
Operationally, ranked in the top 15.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-47732 is a deserialization of untrusted data vulnerability, tracked under CWE-502, that affects Microsoft Dataverse. The flaw permits an attacker to supply crafted serialized data that the component processes without sufficient validation, leading to arbitrary code execution.
An authorized attacker with low privileges can exploit the issue over a network. The CVSS 3.1 vector AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N indicates that successful exploitation requires user interaction, changes security scope, and yields high confidentiality and integrity impact while leaving availability unaffected.
The Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-47732 addresses the vulnerability and supplies mitigation guidance. The associated EPSS score remains low, with a current value of 0.0217 and a peak of 0.0268.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-14046
Vulnerability details
Deserialization of untrusted data in Microsoft Dataverse 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.