Описание
Segfault via invalid attributes in pywrap_tfe_src.cc
Impact
If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract_volume_patches by passing in quantized tensors as input ksizes.
Patches
We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce.
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 for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Pattarakrit Rattankul.
Ссылки
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g
- https://nvd.nist.gov/vuln/detail/CVE-2022-41889
- https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
Пакеты
tensorflow
< 2.8.4
2.8.4
tensorflow
>= 2.9.0, < 2.9.3
2.9.3
tensorflow
>= 2.10.0, < 2.10.1
2.10.1
tensorflow-cpu
< 2.8.4
2.8.4
tensorflow-gpu
< 2.8.4
2.8.4
tensorflow-cpu
>= 2.9.0, < 2.9.3
2.9.3
tensorflow-gpu
>= 2.9.0, < 2.9.3
2.9.3
tensorflow-cpu
>= 2.10.0, < 2.10.1
2.10.1
tensorflow-gpu
>= 2.10.0, < 2.10.1
2.10.1
Связанные уязвимости
TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. 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.
TensorFlow is an open source platform for machine learning. If a list ...