Safety vulnerability ID: 38823
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.2.1 and 2.3.1 include a fix for CVE-2020-15193: 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 was patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v
Latest version: 2.16.1
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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.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v
MISC:https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8: https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8
MISC:https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1: https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
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