CVE-2020-15193

Advisory

Tensorflow-rocm 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

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193
• https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v