Описание
Integer overflow in SpaceToBatchND
Impact
The implementation of tf.raw_ops.SpaceToBatchND (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow:
The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a CHECK-failure (assertion failure), as in TFSA-2021-198.
Patches
We have patched the issue in GitHub commit acd56b8bcb72b163c834ae4f18469047b001fadf.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
Ссылки
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jjm6-4vf7-cjh4
- https://nvd.nist.gov/vuln/detail/CVE-2022-29203
- https://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadf
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
Пакеты
tensorflow
< 2.6.4
2.6.4
tensorflow
>= 2.7.0, < 2.7.2
2.7.2
tensorflow
>= 2.8.0, < 2.8.1
2.8.1
tensorflow-cpu
< 2.6.4
2.6.4
tensorflow-cpu
>= 2.7.0, < 2.7.2
2.7.2
tensorflow-cpu
>= 2.8.0, < 2.8.1
2.8.1
tensorflow-gpu
< 2.6.4
2.6.4
tensorflow-gpu
>= 2.7.0, < 2.7.2
2.7.2
tensorflow-gpu
>= 2.8.0, < 2.8.1
2.8.1
Связанные уязвимости
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
TensorFlow is an open source platform for machine learning. Prior to v ...