Vulnerabilities > CVE-2022-41901 - Reachable Assertion vulnerability in Google Tensorflow
Attack vector
NETWORK Attack complexity
LOW Privileges required
NONE Confidentiality impact
NONE Integrity impact
NONE Availability impact
HIGH Summary
TensorFlow is an open source platform for machine learning. 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`. We have patched the issue in GitHub 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.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
- https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
- https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f