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GHSA-fxqh-cfjm-fp93

Опубликовано: 21 мая 2021
Источник: github
Github: Прошло ревью
CVSS4: 2
CVSS3: 2.5

Описание

Division by 0 in Reverse

Impact

An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.Reverse:

import tensorflow as tf tensor_input = tf.constant([], shape=[0, 1, 1], dtype=tf.int32) dims = tf.constant([False, True, False], shape=[3], dtype=tf.bool) tf.raw_ops.Reverse(tensor=tensor_input, dims=dims)

This is because the implementation performs a division based on the first dimension of the tensor argument:

const int64 N = input.dim_size(0); const int64 cost_per_unit = input.NumElements() / N;

Since this is controlled by the user, an attacker can trigger a denial of service.

Patches

We have patched the issue in GitHub commit 4071d8e2f6c45c1955a811fee757ca2adbe462c1.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 Ying Wang and Yakun Zhang of Baidu X-Team.

Пакеты

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

< 2.1.4

2.1.4

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.2.0, < 2.2.3

2.2.3

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.3.0, < 2.3.3

2.3.3

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.2

2.4.2

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

< 2.1.4

2.1.4

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.2.0, < 2.2.3

2.2.3

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.3.0, < 2.3.3

2.3.3

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.2

2.4.2

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

< 2.1.4

2.1.4

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.2.0, < 2.2.3

2.2.3

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.3.0, < 2.3.3

2.3.3

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.2

2.4.2

EPSS

Процентиль: 2%
0.00015
Низкий

2 Low

CVSS4

2.5 Low

CVSS3

Дефекты

CWE-369

Связанные уязвимости

CVSS3: 2.5
nvd
больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.Reverse`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

CVSS3: 2.5
debian
больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. ...

EPSS

Процентиль: 2%
0.00015
Низкий

2 Low

CVSS4

2.5 Low

CVSS3

Дефекты

CWE-369