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.histogram_fixed_width is vulnerable to a crash when the values array contain Not a Number (NaN) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If values contains NaN then the result of the division is still NaN and the cast to int32 would result in a crash. This only occurs on the CPU implementation. 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
- ExploitIssue TrackingPatchThird 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
- ExploitIssue TrackingPatchThird 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 if `tf.histogram_fixed_width` is called with NaN values in TensorFlow
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2