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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling QuantizeMultiplierSmallerThanOneExp, the TFLITE_CHECK_LT assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Ссылки
- Third Party Advisory
- PatchThird Party Advisory
- ExploitIssue TrackingThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- Release NotesThird Party Advisory
- ExploitPatchThird Party Advisory
- Third Party Advisory
- PatchThird Party Advisory
- ExploitIssue TrackingThird 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 ...
Core dump when loading TFLite models with quantization in TensorFlow
EPSS
5.5 Medium
CVSS3
2.1 Low
CVSS2