Описание
Segfault in simplifyBroadcast in Tensorflow
Impact
The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes.
If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector.
Patches
We have patched the issue in GitHub commit 35f0fabb4c178253a964d7aabdbb15c6a398b69a.
The fix will be included in TensorFlow 2.8.0. This is the only affected version.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Ссылки
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- https://nvd.nist.gov/vuln/detail/CVE-2022-23593
- https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
Пакеты
tensorflow
= 2.8.0-rc0
2.8.0
tensorflow-cpu
= 2.8.0-rc0
2.8.0
tensorflow-gpu
= 2.8.0-rc0
2.8.0
Связанные уязвимости
Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Tensorflow is an Open Source Machine Learning Framework. The `simplify ...