CVE-2020-15206: Google Tensorflow

High severity, CVSS 7.5. EPSS: 1% chance of exploitation in the next 30 days.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 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.