CVE-2025-46153: PYSEC-2025-202 - PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks…

CVE-2025-46153 · Severity: low · CVSS 3.1 · Published 2025-09-25

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.

Technologies: torch (PyPI). Vendors: PyPI.

Quick answers

Is CVE-2025-46153 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2025-46153 being exploited in the wild.
How severe is CVE-2025-46153?
Low severity, with a CVSS score of 3.1, published 25 September 2025.
Which products and versions are affected?
torch (PyPI) ECOSYSTEM:introduced=2.6.0,fixed=2.7.0.
Is there a fix for CVE-2025-46153?
Yes. torch (PyPI): upgrade to 2.7.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
Am I affected by CVE-2025-46153?
Check whether you run torch (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • torch (PyPI): upgrade to 2.7.0 or later
    pip install "torch>=2.7.0"

Affected products

  • torch (PyPI) ECOSYSTEM:introduced=2.6.0,fixed=2.7.0

Identifiers

  • CVE-2025-46153
  • PYSEC-2025-202

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