CVE-2022-23594

描述

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) 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.

如何修補 CVE-2022-23594

要修補 CVE-2022-23594,請將受影響套件升級到下列已修補版本。

• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本
• —升級至 2.7.1 或更新版本

CVE-2022-23594 正在被利用嗎?

低 — EPSS 為 0.1%,目前沒有觀察到大規模利用活動。

受影響套件(7)

• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1
• >= 2.7.0, < 2.7.1

CVSS 分數

參考連結(8)

• ADVISORYgithub.com/advisories/GHSA-9x52-887g-fhc2
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23594
• PATCHpypi.org/project/tensorflow
• PATCHpypi.org/project/tensorflow-cpu
• PATCHpypi.org/project/tensorflow-gpu