Deserialization in Linuxfoundation Pytorch

CVE-2025-32434

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Vulnerability class: Insecure Deserialization

Published · last modified .

CVSS v3 metric

CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

EPSS exploit prediction

EPSS: 0.021 (80.5th percentile), scored .

Low probability of exploitation in the next 30 days, but still tracked. 80th percentile — 80.5% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2025-32434: held from 0.019 to 0.021.

EPSS over last 30 days · oldest: 0.019 · newest: 0.021 · change: +0.001

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2025-32434?
CVE-2025-32434 is a critical-severity vulnerability in Linuxfoundation Pytorch, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2025-04-18.
How severe is CVE-2025-32434?
Critical severity. CVSS v3 base score is 9.8 out of 10.
Is CVE-2025-32434 known to be exploited?
39 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.