CVE-2021-37689

描述

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. 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-2021-37689

要修補 CVE-2021-37689,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 d6b57f461b39fd1aa8c1b870f1b974aac3554955 或更新版本
• —升級至 2.3.4 或更新版本
• —升級至 d6b57f461b39fd1aa8c1b870f1b974aac3554955 或更新版本
• —升級至 2.3.4 或更新版本
• —升級至 d6b57f461b39fd1aa8c1b870f1b974aac3554955 或更新版本

CVE-2021-37689 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(7)

• >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
• from 0, < 2.3.4
• from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4
• from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
• from 0, < 2.3.4
• from 0, < d6b57f461b39fd1aa8c1b870f1b974aac3554955 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3

CVSS 分數

參考連結(8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37689
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-602.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-800.yaml