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CVE-2022-29207

Опубликовано: 20 мая 2022
Источник: debian
EPSS Низкий

Описание

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Пакеты

ПакетСтатусВерсия исправленияРелизТип
tensorflownot-affectedpackage

EPSS

Процентиль: 14%
0.00045
Низкий

Связанные уязвимости

CVSS3: 5.5
nvd
больше 3 лет назад

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

CVSS3: 5.5
github
больше 3 лет назад

Undefined behavior when users supply invalid resource handles

EPSS

Процентиль: 14%
0.00045
Низкий