5.1

CVE-2025-26644

Medienbericht

Automated recognition mechanism with inadequate detection or handling of adversarial input perturbations in Windows Hello allows an unauthorized attacker to perform spoofing locally.

Verknüpft mit AI von unstrukturierten Daten zu bestehenden CPE der NVD
Diese Information steht angemeldeten Benutzern zur Verfügung.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Microsoft ≫ Windows 10 1809 HwPlatformx64 Version < 10.0.17763.7136
Microsoft ≫ Windows 10 1809 HwPlatformx86 Version < 10.0.17763.7136
Microsoft ≫ Windows 10 21h2 Version < 10.0.19044.5737
Microsoft ≫ Windows 10 22h2 Version < 10.0.19045.5737
Microsoft ≫ Windows 11 22h2 Version < 10.0.22621.5189
Microsoft ≫ Windows 11 23h2 Version < 10.0.22631.5189
Microsoft ≫ Windows 11 24h2 Version < 10.0.26100.3775
Microsoft ≫ Windows Server 2019 Version < 10.0.17763.7136
Microsoft ≫ Windows Server 2025 Version < 10.0.26100.3775
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.03% 0.074
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
secure@microsoft.com 5.1 1.4 3.6
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
CWE-1039 Automated Recognition Mechanism with Inadequate Detection or Handling of Adversarial Input Perturbations

The product uses an automated mechanism such as machine learning to recognize complex data inputs (e.g. image or audio) as a particular concept or category, but it does not properly detect or handle inputs that have been modified or constructed in a way that causes the mechanism to detect a different, incorrect concept.