CVE-2022-23594

描述

### Impact The [TFG dialect of TensorFlow (MLIR)](https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered. ### Patches We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected. ### 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.

受影響套件(4)

• Bitnami/tensorflow>= 2.7.0, < 2.7.1
• PyPI/tensorflow>= 2.7.0, < 2.7.1
• PyPI/tensorflow-cpu>= 2.7.0, < 2.7.1
• PyPI/tensorflow-gpu>= 2.7.0, < 2.7.1

CVSS 分數

參考連結(4)

• ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2022-23594
• WEBhttps://github.com/tensorflow/tensorflow
• WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2
• WEBhttps://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport