CVE-2025-27489
Published: 08 April 2025
Summary
CVE-2025-27489 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Azure Stack Hci 22H2. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 35.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-27489 is an improper input validation vulnerability in Azure Local that carries a CVSS 3.1 base score of 7.8. The flaw resides in a locally accessible component and permits an authenticated attacker to perform privilege escalation on the affected system.
An attacker who already possesses a local account with standard privileges can supply crafted input to trigger the flaw, resulting in elevation to higher privileges and full control over confidentiality, integrity, and availability of the host.
Microsoft has published an advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-27489 that addresses the issue; practitioners should consult it for patch availability and recommended remediation steps.
EPSS for the CVE reached a peak of 0.0127 after disclosure before settling at the current value of 0.0045, indicating a modest but noticeable increase in exploitation interest following public release.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10165
Vulnerability details
Improper input validation in Azure Local allows an authorized attacker to elevate privileges 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.