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GHSA-xwhf-g6j5-j5gc

Опубликовано: 13 нояб. 2020
Источник: github
Github: Прошло ревью
CVSS4: 6.3
CVSS3: 3.7

Описание

Float cast overflow undefined behavior

Impact

When the boxes argument of tf.image.crop_and_resize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault.

Patches

We have patched the issue in c0319231333f0f16e1cc75ec83660b01fedd4182 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

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 in #42129

Пакеты

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

< 2.4.0

2.4.0

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

< 2.4.0

2.4.0

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

< 2.4.0

2.4.0

EPSS

Процентиль: 33%
0.00129
Низкий

6.3 Medium

CVSS4

3.7 Low

CVSS3

Дефекты

CWE-119

Связанные уязвимости

CVSS3: 3.7
nvd
почти 5 лет назад

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

CVSS3: 3.7
debian
почти 5 лет назад

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.i ...

EPSS

Процентиль: 33%
0.00129
Низкий

6.3 Medium

CVSS4

3.7 Low

CVSS3

Дефекты

CWE-119