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CVE-2022-21727

Опубликовано: 03 фев. 2022
Источник: nvd
CVSS3: 7.6
CVSS3: 8.8
CVSS2: 6.5
EPSS Низкий

Описание

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Уязвимые конфигурации

Конфигурация 1

Одно из

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Версия до 2.5.2 (включая)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Версия от 2.6.0 (включая) до 2.6.2 (включая)
cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*

EPSS

Процентиль: 55%
0.00329
Низкий

7.6 High

CVSS3

8.8 High

CVSS3

6.5 Medium

CVSS2

Дефекты

CWE-190
CWE-190

Связанные уязвимости

CVSS3: 7.6
debian
около 4 лет назад

Tensorflow is an Open Source Machine Learning Framework. The implement ...

CVSS3: 7.6
github
почти 4 года назад

Integer overflow in Tensorflow

EPSS

Процентиль: 55%
0.00329
Низкий

7.6 High

CVSS3

8.8 High

CVSS3

6.5 Medium

CVSS2

Дефекты

CWE-190
CWE-190