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.
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.
| Link | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 | third party advisory release notes |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 | third party advisory release notes |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 | third party advisory release notes |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 | third party advisory release notes |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792 | patch exploit third party advisory |
| https://github.com/tensorflow/tensorflow/issues/43661 | exploit third party advisory issue tracking |
| https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8 | third party advisory patch |
| https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123 | third party advisory |