CVE-2021-37686

描述

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.

如何修補 CVE-2021-37686

要修補 CVE-2021-37686,請將受影響套件升級到下列已修補版本。

• —升級至 2.6.0rc2 或更新版本
• —升級至 2.6.0rc2 或更新版本
• —升級至 2.6.0rc2 或更新版本

CVE-2021-37686 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)

• >= 2.6.0rc0, < 2.6.0rc2
• >= 2.6.0rc0, < 2.6.0rc2
• >= 2.6.0rc0, < 2.6.0rc2

CVSS 分數

參考連結(11)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37686
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-599.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-797.yaml