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GHSA-9vqj-64pv-w55c

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Source: GitHub Advisory Database (reviewed) Moderate CVE-2022-35988

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.7.2 2.7.2
PyPI tensorflow >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow >= 2.9.0, < 2.9.1 2.9.1
PyPI tensorflow-cpu < 2.7.2 2.7.2
PyPI tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1
PyPI tensorflow-gpu < 2.7.2 2.7.2
PyPI tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf a = tf.constant([], shape=[0, 1, 1], dtype=tf.float32) tf.linalg.matrix_rank(a=a) ``` ### Patches We have patched the issue in GitHub commit [c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a](https://github.com/tensorflow/tensorflow/commit/c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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.

References

External links from the advisory. They lead to third-party sites.