5.3

CVE-2025-46153

PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.

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Data is provided by the National Vulnerability Database (NVD)
Linuxfoundation ≫ Pytorch Update- SwPlatformpython Version >= 2.6.0 < 2.7.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.04% 0.109
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
134c704f-9b21-4f2e-91b3-4a467353bcc0 5.3 3.9 1.4
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE-1176 Inefficient CPU Computation

The product performs CPU computations using algorithms that are not as efficient as they could be for the needs of the developer, i.e., the computations can be optimized further.