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GHSA-cpf4-wx82-gxp6

Segfault due to negative splits in `SplitV`

Source: GitHub Advisory Database (reviewed) Moderate CVE-2021-41222

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow >= 2.6.0, < 2.6.1 2.6.1
PyPI tensorflow >= 2.5.0, < 2.5.2 2.5.2
PyPI tensorflow < 2.4.4 2.4.4
PyPI tensorflow-cpu >= 2.6.0, < 2.6.1 2.6.1
PyPI tensorflow-cpu >= 2.5.0, < 2.5.2 2.5.2
PyPI tensorflow-cpu < 2.4.4 2.4.4
PyPI tensorflow-gpu >= 2.6.0, < 2.6.1 2.6.1
PyPI tensorflow-gpu >= 2.5.0, < 2.5.2 2.5.2
PyPI tensorflow-gpu < 2.4.4 2.4.4

Details

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

### Impact The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/split_v_op.cc#L49-L205) of `SplitV` can trigger a segfault is an attacker supplies negative arguments: ```python import tensorflow as tf tf.raw_ops.SplitV( value=tf.constant([]), size_splits=[-1, -2] ,axis=0, num_split=2) ``` This occurs whenever `size_splits` contains more than one value and at least one value is negative. ### Patches We have patched the issue in GitHub commit [25d622ffc432acc736b14ca3904177579e733cc6](https://github.com/tensorflow/tensorflow/commit/25d622ffc432acc736b14ca3904177579e733cc6). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.

References

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