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, the implementation of tf.raw_ops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The code assumes num_segments is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a CHECK-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Ссылки
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- Third Party Advisory
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- PatchThird Party Advisory
- PatchThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- ExploitPatchThird Party Advisory
Уязвимые конфигурации
Одно из
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2
Дефекты
Связанные уязвимости
TensorFlow is an open source platform for machine learning. Prior to v ...
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2