Описание
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the OneHot TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of indices would be 0. In turn, the prefix_dim_size value would become 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Ссылки
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
Уязвимые конфигурации
Одно из
EPSS
2.5 Low
CVSS3
7.8 High
CVSS3
4.6 Medium
CVSS2
Дефекты
Связанные уязвимости
TensorFlow is an end-to-end open source platform for machine learning. ...
Division by zero in TFLite's implementation of `OneHot`
EPSS
2.5 Low
CVSS3
7.8 High
CVSS3
4.6 Medium
CVSS2