5.3

CVE-2025-46153: linuxfoundation pytorch Inefficient CPU Computation

CVSS: 5.3v3.1MediumAnalyzed
AliasesPYSEC-2025-202BIT-pytorch-2025-46153UBUNTU-CVE-2025-46153
Published 25-09-2025Last modified 25-09-2025
Open JSON

Vulnerability summary

CVE-2025-46153 is a medium (CVSS 5.3) Inefficient CPU Computation vulnerability in linuxfoundation pytorch. EPSS estimates a 0.42% chance of exploitation in the next 30 days, higher than 34.8% of scored vulnerabilities.

Overall risk
21/100
0100
Low · default modelHow is this calculated?
CVSS score
5.3/10
010
Medium · v3.1 (CVE.org)
EPSS score
0.42%
0%100%
Low · 0.00 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Timeline

  1. 25-09-2025
    PublishedVulnerability first disclosed.
  2. 25-09-2025
    Last modifiedVulnerability information updated.

Description

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.

CVSS metrics

5 scores · 5 sources · 1 version

EPSS trend

Probability

0.42%

Chance of exploitation in the next 30 days

Percentile

35%

Versus all other CVEs

30-day change

0.00 pp

From 0.42% on 19-09-2026

19-09-202619-10-2026
EPSS score
0.42%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Debian1 product
  • pytorchAll versions (No fix recorded) | < 2.12.0+dfsg2-1
Linuxfoundation1 product
PyPI1 product
  • torch≥ 2.6.0, < 2.7.0
Ubuntu1 product
  • pytorchAll versions (No fix recorded)

4 vendors · 4 products

References

8 links