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.

How to fix CVE-2020-15193

To remediate CVE-2020-15193, upgrade the affected package to a fixed version below.

• —upgrade to 2.2.1 or later
• —upgrade to 2.2.1 or later
• —upgrade to 22e07fb204386768e5bcbea563641ea11f96ceb8 or later
• —upgrade to 22e07fb204386768e5bcbea563641ea11f96ceb8 or later
• —upgrade to 2.2.1 or later
• —upgrade to 22e07fb204386768e5bcbea563641ea11f96ceb8 or later
• —upgrade to 2.2.1 or later

Is CVE-2020-15193 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1
• >= 2.2.0, < 2.2.1
• from 0, < 22e07fb204386768e5bcbea563641ea11f96ceb8 | from 0, < 2.2.1, >= 2.3.0rc0, < 2.3.1
• from 0, < 22e07fb204386768e5bcbea563641ea11f96ceb8 | from 0, < 2.2.1, >= 2.3.0rc0, < 2.3.1
• >= 2.2.0, < 2.2.1
• from 0, < 22e07fb204386768e5bcbea563641ea11f96ceb8 | from 0, < 2.2.1, >= 2.3.0rc0, < 2.3.1
• >= 2.2.0, < 2.2.1

CVSS scores

References (9)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15193
• PATCHgithub.com/tensorflow/tensorflow
• WEBlists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-273.yaml