Описание
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
A denial of service flaw has been discovered in the PyTorch library. Under specific conditions when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor a program crash may be induced.
Меры по смягчению последствий
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Затронутые пакеты
| Платформа | Пакет | Состояние | Рекомендация | Релиз |
|---|---|---|---|---|
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-service-api-rhel9 | Fix deferred | ||
| OpenShift Lightspeed | openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 | Fix deferred | ||
| Red Hat AI Inference Server | rhaiis-preview/vllm-cuda-rhel9 | Fix deferred | ||
| Red Hat AI Inference Server | rhaiis/vllm-cuda-rhel9 | Fix deferred | ||
| Red Hat AI Inference Server | rhaiis/vllm-rocm-rhel9 | Fix deferred | ||
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Fix deferred | ||
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-24/de-minimal-rhel8 | Fix deferred | ||
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-24/de-minimal-rhel9 | Fix deferred | ||
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-24/de-supported-rhel8 | Fix deferred | ||
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-24/de-supported-rhel9 | Fix deferred |
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Дополнительная информация
Статус:
EPSS
2.5 Low
CVSS3
Связанные уязвимости
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when ...
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
EPSS
2.5 Low
CVSS3