8.4

CVE-2026-32162

Medienbericht

Windows COM Elevation of Privilege Vulnerability

Acceptance of extraneous untrusted data with trusted data in Windows COM allows an unauthorized attacker to elevate privileges locally.
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Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Microsoft ≫ Windows 10 1809 HwPlatformx64 Version < 10.0.17763.8644
Microsoft ≫ Windows 10 1809 HwPlatformx86 Version < 10.0.17763.8644
Microsoft ≫ Windows 10 21h2 HwPlatformarm64 Version < 10.0.19044.7184
Microsoft ≫ Windows 10 21h2 HwPlatformx64 Version < 10.0.19044.7184
Microsoft ≫ Windows 10 21h2 HwPlatformx86 Version < 10.0.19044.7184
Microsoft ≫ Windows 10 22h2 HwPlatformarm64 Version < 10.0.19045.7184
Microsoft ≫ Windows 10 22h2 HwPlatformx64 Version < 10.0.19045.7184
Microsoft ≫ Windows 10 22h2 HwPlatformx86 Version < 10.0.19045.7184
Microsoft ≫ Windows 11 23h2 HwPlatformarm64 Version < 10.0.22631.6936
Microsoft ≫ Windows 11 23h2 HwPlatformx64 Version < 10.0.22631.6936
Microsoft ≫ Windows 11 24h2 HwPlatformarm64 Version < 10.0.26100.8246
Microsoft ≫ Windows 11 24h2 HwPlatformx64 Version < 10.0.26100.8246
Microsoft ≫ Windows 11 25h2 HwPlatformarm64 Version < 10.0.26200.8246
Microsoft ≫ Windows 11 25h2 HwPlatformx64 Version < 10.0.26200.8246
Microsoft ≫ Windows 11 26h1 HwPlatformarm64 Version < 10.0.28000.1836
Microsoft ≫ Windows 11 26h1 HwPlatformx64 Version < 10.0.28000.1836
Microsoft ≫ Windows Server 2019 Version < 10.0.17763.8644
Microsoft ≫ Windows Server 2022 Version < 10.0.20348.5020
Microsoft ≫ Windows Server 2022 23h2 Version < 10.0.25398.2274
Microsoft ≫ Windows Server 2025 Version < 10.0.26100.32690
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.03% 0.083
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
secure@microsoft.com 8.4 2.5 5.9
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE-349 Acceptance of Extraneous Untrusted Data With Trusted Data

The product, when processing trusted data, accepts any untrusted data that is also included with the trusted data, treating the untrusted data as if it were trusted.