VDB

CVE-2020-15206

CVE-2020-15206 PUBLISHED

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.

EPSS 0.47% · 65.1th percentile

Risk Scores

EPSS Score
0.47%
65.1th percentile

Affected Products

VendorProductVersions
Bitnamitensorflow2.1.0, 0, 2.0.0
Bitnamitensorflow0, 2.1.0, 2.2.0

Timeline

  • Sep 25, 2020 CVE Published
  • Apr 14, 2021 EPSS Score
  • Jun 23, 2021 EPSS Score
  • Aug 18, 2021 EPSS Score
  • Oct 26, 2021 EPSS Score
  • Dec 27, 2021 EPSS Score
  • Jan 6, 2022 EPSS Score
  • Feb 4, 2022 EPSS Score
  • Apr 1, 2022 EPSS Score
  • May 1, 2022 EPSS Score
  • Jul 3, 2022 EPSS Score
  • Sep 4, 2022 EPSS Score
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