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GHSA-v5xg-3q2c-c2r4

TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation

Source: GitHub Advisory Database (reviewed) Moderate CVE-2022-35960

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 In [`core/kernels/list_kernels.cc's TensorListReserve`](https://github.com/tensorflow/tensorflow/blob/c8ba76d48567aed347508e0552a257641931024d/tensorflow/core/kernels/list_kernels.cc#L322-L325), `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. ```python import tensorflow as tf tf.raw_ops.TensorListReserve(element_shape=(1,1), num_elements=tf.constant([1,1], dtype=tf.int32), element_dtype=tf.int8) ``` ### Patches We have patched the issue in GitHub commit [b5f6fbfba76576202b72119897561e3bd4f179c7](https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7). 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 from Singapore Management University.

References

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