Описание
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Ссылки
- PatchThird Party Advisory
- Third Party Advisory
- PatchThird Party Advisory
- Third Party Advisory
Уязвимые конфигурации
Одно из
EPSS
7.3 High
CVSS3
7.1 High
CVSS3
3.6 Low
CVSS2
Дефекты
Связанные уязвимости
TensorFlow is an end-to-end open source platform for machine learning. ...
Heap out of bounds access in sparse reduction operations
EPSS
7.3 High
CVSS3
7.1 High
CVSS3
3.6 Low
CVSS2