CVE-2025-26647
Published: 08 April 2025
Summary
CVE-2025-26647 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2008. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 10.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-26647 is an improper input validation vulnerability, tracked under CWE-20, that affects the Windows Kerberos component. It carries a CVSS 3.1 base score of 8.8 with a network attack vector, low attack complexity, and low privileges required, resulting in high impact to confidentiality, integrity, and availability.
An authorized attacker can exploit the flaw over a network to escalate privileges. The weakness allows the attacker to bypass intended access controls within Kerberos authentication flows and obtain elevated rights on the target system.
The Microsoft Security Response Center advisory at the referenced URL supplies official guidance on available patches and mitigation steps for affected Windows installations. The associated EPSS score has remained flat at 0.0473 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10222
Vulnerability details
Improper input validation in Windows Kerberos allows an authorized attacker to elevate privileges 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.
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.