CVE-2020-15210

Advisory

Tensorflow-gpu versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 include a fix for CVE-2020-15210: In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210
• https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
• http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html