CVE-2021-37672

描述

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

如何修補 CVE-2021-37672

要修補 CVE-2021-37672,請將受影響套件升級到下列已修補版本。

• —升級至 2.3.4 或更新版本
• —升級至 2.3.4 或更新版本
• —升級至 2.3.4 或更新版本

CVE-2021-37672 正在被利用嗎?

低 — EPSS 為 0.2%,目前沒有觀察到大規模利用活動。

受影響套件(3)

• from 0, < 2.3.4
• from 0, < 2.3.4
• from 0, < 2.3.4

CVSS 分數

參考連結(7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37672
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-585.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-783.yaml