CVE-2022-41901
`CHECK_EQ` fail via input in `SparseMatrixNNZ`
Description
### Impact 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`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h). ```python import tensorflow as tf tf.raw_ops.SparseMatrixNNZ(sparse_matrix=[]) ``` ### Patches We have patched the issue in GitHub commit [f856d02e5322821aad155dad9b3acab1e9f5d693](https://github.com/tensorflow/tensorflow/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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Kang Hong Jin
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
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM4.8 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |