CVE-2022-35996

描述

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

如何修補 CVE-2022-35996

要修補 CVE-2022-35996,請將受影響套件升級到下列已修補版本。

• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本
• —升級至 2.7.2 或更新版本

CVE-2022-35996 正在被利用嗎?

低 — EPSS 為 0.4%,目前沒有觀察到大規模利用活動。

受影響套件(7)

• from 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
• from 0, < 2.7.2
• from 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
• from 0, < 2.7.2
• from 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
• from 0, < 2.7.2
• from 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1

CVSS 分數

參考連結(9)

• ADVISORYgithub.com/advisories/GHSA-q5jv-m6qw-5g37
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-35996
• PATCHgithub.com/tensorflow/tensorflow
• PATCHpypi.org/project/tensorflow
• PATCHpypi.org/project/tensorflow-cpu