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.
Ссылки
- 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
- 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 ...
Undefined behavior when users supply invalid resource handles
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2