CVE-2022-23583

描述

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

如何修補 CVE-2022-23583

要修補 CVE-2022-23583,請將受影響套件升級到下列已修補版本。

• —升級至 2.5.3 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 或更新版本

CVE-2022-23583 正在被利用嗎?

低 — EPSS 為 0.9%,目前沒有觀察到大規模利用活動。

受影響套件(7)

• from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
• from 0, < 2.5.3
• from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
• from 0, < 2.5.3
• from 0, < a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS 分數

參考連結(9)

• ADVISORYgithub.com/advisories/GHSA-gjqc-q9g6-q2j3
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23583
• PATCHpypi.org/project/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-92.yaml