Mismatched Memory Management Routines 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-10337825
- published12 Jun 2025
- disclosed3 Apr 2025
- creditdefault1360
Introduced: 3 Apr 2025
CVE-2025-3136 (opens in a new tab)How to fix?
There is no fixed version for torch.
Overview
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration
Affected versions of this package are vulnerable to Mismatched Memory Management Routines through the torch.cuda.memory.caching_allocator_delete function. An attacker can corrupt memory by manipulating the function locally.