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GHSA-j43h-pgmg-5hjq

Опубликовано: 16 сент. 2022
Источник: github
Github: Прошло ревью
CVSS3: 5.9

Описание

TensorFlow vulnerable to CHECK fail in MaxPool

Impact

When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.

import tensorflow as tf import numpy as np input = np.ones([1, 1, 1, 1]) ksize = [1, 1, 2, 2] strides = [1, 1, 1, 1] padding = 'VALID' data_format = 'NCHW' tf.raw_ops.MaxPool(input=input, ksize=ksize, strides=strides, padding=padding, data_format=data_format)

Patches

We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Jingyi Shi.

Пакеты

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

EPSS

Процентиль: 19%
0.00061
Низкий

5.9 Medium

CVSS3

Дефекты

CWE-617

Связанные уязвимости

CVSS3: 5.9
nvd
больше 3 лет назад

TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

CVSS3: 5.9
debian
больше 3 лет назад

TensorFlow is an open source platform for machine learning. When `MaxP ...

EPSS

Процентиль: 19%
0.00061
Низкий

5.9 Medium

CVSS3

Дефекты

CWE-617