Vulnerability 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.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.8.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/spaThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9fExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/spaThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9fExploitPatchThird Party Advisory
FAQ
What is CVE-2022-41901?
CVE-2022-41901 is a vulnerability with a CVSS score of 4.8 (MEDIUM). 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 ...
How severe is CVE-2022-41901?
CVE-2022-41901 has been rated MEDIUM with a CVSS base score of 4.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2022-41901?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.