CVE-2022-41901

low-risk
Published 2022-11-18

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.

Do I need to act?

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0.33% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
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Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
4
CVSS 4.8/10 Medium
NETWORK / HIGH complexity

Affected Products (1)

Affected Vendors

Google

References (6)

Third Party Advisory https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/spa...
Patch https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
Third Party Advisory https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/spa...
Patch https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
21
/ 100
low-risk
Severity 15/34 · Moderate
Exploitability 1/34 · Minimal
Exposure 5/34 · Minimal