CVE-2023-36407
Published: 14 November 2023
Summary
CVE-2023-36407 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows 11 21H2. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 5.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Windows Hyper-V contains an elevation of privilege vulnerability tracked as CVE-2023-36407. The flaw is rated 7.8 under CVSS 3.1 with an attack vector of local access, low complexity, low privileges, and no user interaction, allowing an authenticated local attacker to obtain high impact on confidentiality, integrity, and availability. It is associated with CWE-20 improper input validation.
A local attacker who already possesses a low-privileged account on an affected Hyper-V host can exploit the issue to escalate rights and potentially take full control of the virtualization stack and underlying system. The vulnerability was disclosed on 14 November 2023.
Microsoft has published guidance for the vulnerability at its Security Response Center, including details on available patches and recommended mitigations for supported Windows versions. The associated EPSS score has remained flat at 0.1609 with no material increase observed since publication.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-40373
Vulnerability details
Windows Hyper-V Elevation of Privilege Vulnerability
- 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.