Improper Resource Shutdown or Release Affecting torch package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-TORCH-10332643
- published8 Jun 2025
- disclosed5 May 2025
- creditUnknown
Introduced: 5 May 2025
CVE-2025-4287 (opens in a new tab)How to fix?
A fix was pushed into the master branch but not yet published.
Overview
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration
Affected versions of this package are vulnerable to Improper Resource Shutdown or Release through the torch.cuda.nccl.reduce function in the file torch/cuda/nccl.py. An attacker can cause the application to crash by manipulating the function inputs on a local host.