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.
History

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cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2020-09-25T18:40:51

Updated: 2020-10-29T15:06:20

Reserved: 2020-06-25T00:00:00


Link: CVE-2020-15193

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2020-09-25T19:15:14.573

Modified: 2021-11-18T17:20:32.980


Link: CVE-2020-15193

JSON object: View

cve-icon Redhat Information

No data.

CWE