In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Metrics
Affected Vendors & Products
References
History
No history.
MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-09-25T18:40:51
Updated: 2024-08-04T13:08:22.677Z
Reserved: 2020-06-25T00:00:00
Link: CVE-2020-15193
Vulnrichment
No data.
NVD
Status : Modified
Published: 2020-09-25T19:15:14.573
Modified: 2024-11-21T05:05:03.037
Link: CVE-2020-15193
Redhat
No data.