CVE-2022-41901

Description

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.

How to fix CVE-2022-41901

To remediate CVE-2022-41901, upgrade the affected package to a fixed version below.

• —upgrade to 2.8.4 or later
• —upgrade to 2.8.4 or later
• —upgrade to 2.8.4 or later
• —upgrade to 2.8.4 or later

Is CVE-2022-41901 being exploited?

Low — EPSS is 0.3%, meaning exploitation activity has not been observed at scale.

Affected packages (4)

• from 0, < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1
• from 0, < 2.8.4
• from 0, < 2.8.4
• from 0, < 2.8.4

CVSS scores

References (5)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-41901
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
• WEBgithub.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693