Safety vulnerability ID: 51959
The information on this page was manually curated by our Cybersecurity Intelligence Team.
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.
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
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. See CVE-2022-41901.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
MISC: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
MISC:https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693: https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application