Vulnerability CVE-2022-29212

Vulnerability CVE-2022-29212

Published: 2022-05-21

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.

Type:

CWE-20

(Improper Input Validation)

References:

https://github.com/tensorflow/tensorflow/issues/43661

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792

https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4

https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2

https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1

https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0

https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8

https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123