CVE-2022-29212

Core dump when loading TFLite models with quantization in TensorFlow

State
Published
Severity
5.5 Medium
Published
May 20, 2022
Updated
Apr 22, 2025
Reserved
Apr 13, 2022

Read the record on cve.org

Description

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.

Scores

CVSSScoreVectorSource
3.15.5 MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HGitHub_M

Weaknesses

  • CWE-20 Improper Input Validation

Affected Products

ProductVersions
tensorflowtensorflow
  • < 2.6.4Affected
  • >= 2.7.0rc0, < 2.7.2Affected
  • >= 2.8.0rc0, < 2.8.1Affected
  • >= 2.9.0rc0, < 2.9.0Affected

References

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