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PYSEC-2022-124

Details

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.

Are you affected?

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Affected packages

PyPI / tensorflow-gpu

Introduced in: 0 Fixed in: 6364463d6f5b6254cac3d6aedf999b6a96225038

Fix pip install --upgrade 'tensorflow-gpu>=6364463d6f5b6254cac3d6aedf999b6a96225038'

References

https://github.com/tensorflow/tensorflow/commit/6364463d6f5b6254cac3d6aedf999b6a96225038 [FIX]
https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc#L252-L293 [WEB]
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4hvf-hxvg-f67v [ADVISORY]