CVE-2020-15206

Advisory

Tensorflow-rocm versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 include a fix for CVE-2020-15206: 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. However, this was not enough, as #41097 reported a different failure mode. The issue was finally patched in commit df095206f25471e864a8e63a0f1caef53a0e3a6

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-2020-15206
• https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g