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CVE-2021-41196PYSEC-2021-606BIT-TENSORFLOW-2021-41196GHSA-M539-J985-HCR8PYSEC-2021-389PYSEC-2021-804

Crash in `max_pool3d` when size argument is 0 or negative

Published
Last modified
published
Not listed in CISA KEV
Fix
Fixed in 2.6.1, 2.5.2, 2.4.4, 2.7.0
None on Exploit-DB, Metasploit or GitHub

Summary

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Timeline

  1. CVE published
  2. Record last updated

Affected versions

  • tensorflow tensorflow

    From 2.6.0 · fixed in 2.6.1; From 2.5.0 · fixed in 2.5.2; fixed in 2.4.4

  • tensorflow-cpuPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

  • tensorflowPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflowPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflowPyPI

    fixed in 2.4.4

  • tensorflow-cpuPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflow-cpuPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflow-cpuPyPI

    fixed in 2.4.4

  • tensorflow-gpuPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflow-gpuPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflow-gpuPyPI

    fixed in 2.4.4

  • tensorflow-gpuPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

  • tensorflowPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0

References 3

GitHub · tensorflow/tensorflow