What’s Vulnerable › Vulnerabilities

CVE-2022-41901: `CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow

• Severity: high (CVSS 7.5 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.5% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2022-11-18 · updated 2026-06-17
• Weakness: CWE-20

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.

Affected products

• tensorflow: before 2.8.4; from 2.9.0 before 2.9.3; from 2.10.0 before 2.10.1 — fixed in 2.10.1, 2.8.4, 2.9.3

How to fix

Upgrade to a fixed version: tensorflow 2.10.1, 2.8.4, 2.9.3. Check the vendor advisory for mitigations.

References

• 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/security/advisories/GHSA-g9fm-r5mm-rf9f
• 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/security/advisories/GHSA-g9fm-r5mm-rf9f

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