VYPR
High severityNVD Advisory· Published Sep 25, 2020· Updated Aug 4, 2024

Memory corruption in Tensorflow

CVE-2020-15193

Description

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.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflowPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.12.3.1

Affected products

9

Patches

Vulnerability mechanics

References

9

News mentions

0

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