CVE-2020-15210: Google Tensorflow

Medium severity, CVSS 6.5. EPSS: 0.7% chance of exploitation in the next 30 days.

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. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected products

• Google Tensorflow: before 1.15.4 (fixed in 1.15.4); from 2.0.0, before 2.0.3 (fixed in 2.0.3); from 2.1.0, before 2.1.2 (fixed in 2.1.2); from 2.2.0, before 2.2.1 (fixed in 2.2.1); from 2.3.0, before 2.3.1 (fixed in 2.3.1)
• Opensuse Leap: version 15.2 only

Published 2020-09-25. Last modified 2026-06-17.