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Improper Input Validation

CVE-2022-29212

Medium
5.5/10

Summary

TensorFlow is an open source platform for machine learning. Versions prior to 2.6.4, 2.7.x prior to 2.7.2, and 2.8.x prior to 2.8.1, 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 2.9.0rc0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

  • LOW
  • LOCAL
  • NONE
  • UNCHANGED
  • NONE
  • LOW
  • NONE
  • HIGH

CWE-20 - Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

References

Advisory Timeline

  • Published