CVE-2022-21731

描述

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. 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-2022-21731

要修補 CVE-2022-21731,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 08d7b00c0a5a20926363849f611729f53f3ec022 或更新版本
• —升級至 2.5.3 或更新版本
• —升級至 08d7b00c0a5a20926363849f611729f53f3ec022 或更新版本

CVE-2022-21731 正在被利用嗎?

低 — EPSS 為 0.8%,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, < 08d7b00c0a5a20926363849f611729f53f3ec022 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 08d7b00c0a5a20926363849f611729f53f3ec022 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS 分數

參考連結(10)

• ADVISORYgithub.com/advisories/GHSA-m4hf-j54p-p353
• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-21731
• PATCHpypi.org/project/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-55.yaml