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CVE-2020-15265

Опубликовано: 21 окт. 2020
Источник: nvd
CVSS3: 5.9
CVSS3: 7.5
CVSS2: 5
EPSS Низкий

Описание

In Tensorflow before version 2.4.0, an attacker can pass an invalid axis value to tf.quantization.quantize_and_dequantize. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, DCHECK-like macros are no-ops, this results in segfault and access out of bounds of the array. 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.

Уязвимые конфигурации

Конфигурация 1
cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*
Версия до 2.4.0 (исключая)

EPSS

Процентиль: 47%
0.00239
Низкий

5.9 Medium

CVSS3

7.5 High

CVSS3

5 Medium

CVSS2

Дефекты

CWE-125

Связанные уязвимости

CVSS3: 5.9
debian
больше 5 лет назад

In Tensorflow before version 2.4.0, an attacker can pass an invalid `a ...

CVSS3: 5.9
github
около 5 лет назад

Segfault in `tf.quantization.quantize_and_dequantize`

EPSS

Процентиль: 47%
0.00239
Низкий

5.9 Medium

CVSS3

7.5 High

CVSS3

5 Medium

CVSS2

Дефекты

CWE-125