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CVE-2021-41196

Опубликовано: 05 нояб. 2021
Источник: nvd
CVSS3: 5.5
CVSS2: 2.1
EPSS Низкий

Описание

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Уязвимые конфигурации

Конфигурация 1

Одно из

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Версия до 2.4.4 (исключая)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Версия от 2.5.0 (включая) до 2.5.2 (исключая)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Версия от 2.6.0 (включая) до 2.6.1 (исключая)

EPSS

Процентиль: 15%
0.00049
Низкий

5.5 Medium

CVSS3

2.1 Low

CVSS2

Дефекты

CWE-191
CWE-191

Связанные уязвимости

CVSS3: 5.5
debian
больше 4 лет назад

TensorFlow is an open source platform for machine learning. In affecte ...

CVSS3: 5.5
github
около 4 лет назад

Crash in `max_pool3d` when size argument is 0 or negative

EPSS

Процентиль: 15%
0.00049
Низкий

5.5 Medium

CVSS3

2.1 Low

CVSS2

Дефекты

CWE-191
CWE-191