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CVE-2022-29212: Improper Input Validation

May 24, 2022

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling QuantizeMultiplierSmallerThanOneExp, the TFLITE_CHECK_LT assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

References

  • github.com/advisories/GHSA-8wwm-6264-x792
  • github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc
  • github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8
  • github.com/tensorflow/tensorflow/issues/43661
  • github.com/tensorflow/tensorflow/releases/tag/v2.6.4
  • github.com/tensorflow/tensorflow/releases/tag/v2.7.2
  • github.com/tensorflow/tensorflow/releases/tag/v2.8.1
  • github.com/tensorflow/tensorflow/releases/tag/v2.9.0
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792
  • nvd.nist.gov/vuln/detail/CVE-2022-29212

Code Behaviors & Features

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Affected versions

All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1

Fixed versions

  • 2.6.4
  • 2.7.2
  • 2.8.1

Solution

Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.

Impact 5.5 MEDIUM

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-20: Improper Input Validation

Source file

pypi/tensorflow-gpu/CVE-2022-29212.yml

Spotted a mistake? Edit the file on GitLab.

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