CVE-2022-21727

描述

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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-2022-21727

要修補 CVE-2022-21727,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 b64638ec5ccaa77b7c1eb90958e3d85ce381f91b 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 b64638ec5ccaa77b7c1eb90958e3d85ce381f91b 或更新版本

CVE-2022-21727 正在被利用嗎?

低 — EPSS 為 0.7%,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, < b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS 分數

參考連結(9)

• ADVISORYgithub.com/advisories/GHSA-c6fh-56w7-fvjw
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-21727
• PATCHpypi.org/project/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-51.yaml