Out-of-bounds Write 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.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-PYTHON-TORCH-10337828
- published11 Jun 2025
- disclosed31 Mar 2025
- creditvwrewsge
Introduced: 31 Mar 2025
CVE-2025-3001 (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 Out-of-bounds Write due to the torch.lstm_cell function. An attacker can corrupt memory by manipulating the function's input.
Note: This is only exploitable if the attacker has local access to the system.