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Uncontrolled Resource Consumption in pytorch

CVE-2025-55558

  • pytorch
  • torch
High
7.5/10

Summary

A Buffer Overflow occurs in pytorch 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). This issue affects versions through 2.7.0.

  • LOW
  • NETWORK
  • NONE
  • UNCHANGED
  • NONE
  • NONE
  • NONE
  • HIGH

CWE-400 - Uncontrolled resource consumption

An uncontrolled resource allocation attack (also known as resource exhaustion attack) triggers unauthorized overconsumption of the limited resources in an application, such as memory, file system storage, database connection pool entries, and CPU. This may lead to denial of service for valid users and degradation of the application's functionality as well as that of the host operating system.

References

Advisory Timeline

  • Published