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GHSA-g9fm-r5mm-rf9f

`CHECK_EQ` fail via input in `SparseMatrixNNZ`

Source: GitHub Advisory Database (reviewed) Moderate CVE-2022-41901

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.8.4 2.8.4
PyPI tensorflow >= 2.9.0, < 2.9.3 2.9.3
PyPI tensorflow >= 2.10.0, < 2.10.1 2.10.1
PyPI tensorflow-cpu < 2.8.4 2.8.4
PyPI tensorflow-gpu < 2.8.4 2.8.4
PyPI tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3
PyPI tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3
PyPI tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1
PyPI tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in [`tf.raw_ops.SparseMatrixNNZ`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h). ```python import tensorflow as tf tf.raw_ops.SparseMatrixNNZ(sparse_matrix=[]) ``` ### Patches We have patched the issue in GitHub commit [f856d02e5322821aad155dad9b3acab1e9f5d693](https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Kang Hong Jin

References

External links from the advisory. They lead to third-party sites.