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, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1.* ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a nullptr value is passed to ParseDimensionValue for the py_value argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Ссылки
- Third Party Advisory
- Third Party Advisory
- PatchThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- ExploitPatchThird Party Advisory
- Third Party Advisory
- Third 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 ...
Segfault due to missing support for quantized types
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2