# CVE-2025-32434: PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

Source: https://junglewise.ai/threats/cve-2025-32434-pytorch-torch-load-with-weights-only-true-leads-to-remote-code  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2025-04-18  
License: CC BY 4.0 with a link back

CVE-2025-32434 · Severity: medium · CVSS 4 · Published 2025-04-18

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.

Technologies: [torch (PyPI)](https://junglewise.ai/threats/technologies/torch). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2025-32434 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-32434 being exploited in the wild.

**How severe is CVE-2025-32434?** Medium severity, with a CVSS score of 4, published 18 April 2025.

**Which products and versions are affected?** torch (PyPI) ECOSYSTEM:introduced=0,fixed=2.6.0.

**Is there a fix for CVE-2025-32434?** Yes. torch (PyPI): upgrade to 2.6.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected by CVE-2025-32434?** 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 2.6.0 or later

  ```sh
  pip install "torch>=2.6.0"
  ```


## Affected products

- torch (PyPI) ECOSYSTEM:introduced=0,fixed=2.6.0

## Identifiers

- CVE-2025-32434
- GHSA-53q9-r3pm-6pq6
- PYSEC-2025-41

## Related threats

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- [PyTorch arbitrary code execution in weights_only unpickler](https://junglewise.ai/threats/cve-2026-24747-pytorch-arbitrary-code-execution-in-weights-only-unpickler)
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- [PYSEC-2025-209 - An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.](https://junglewise.ai/threats/cve-2025-55560-pysec-2025-209-an-issue-in-pytorch-v2-7-0-can-lead-to-a-denial-of)
