CVE-2025-55558
Unknown
Unknown - Not Provided
BaseFortify
Publication date: 2025-09-25
Last updated on: 2025-10-03
Assigner: MITRE
Description
Description
A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| linuxfoundation | pytorch | to 2.7.0 (inc) |
Helpful Resources
Exploitability
CWE
KEV
| CWE ID | Description |
|---|---|
| CWE-400 | The product does not properly control the allocation and maintenance of a limited resource. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
This vulnerability is a buffer overflow in PyTorch version 2.7.0 that occurs when a model uses specific components (torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv()) and is compiled by Inductor. The buffer overflow can cause the program to crash or behave unexpectedly.
How can this vulnerability impact me? :
The vulnerability can lead to a Denial of Service (DoS), meaning the affected PyTorch model or application could crash or become unavailable, disrupting services or workflows that depend on it.
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