CVE-2022-35999

描述

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. 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-2022-35999

要修補 CVE-2022-35999,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-2022-35999 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-37jf-mjv6-xfqw
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-35999
• PATCHgithub.com/tensorflow/tensorflow
• PATCHpypi.org/project/tensorflow
• PATCHpypi.org/project/tensorflow-cpu