CVE-2021-29512

描述

TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

如何修補 CVE-2021-29512

要修補 CVE-2021-29512,請將受影響套件升級到下列已修補版本。

• —升級至 2.3.3 或更新版本
• —升級至 2.3.3 或更新版本
• —升級至 2.3.3 或更新版本

CVE-2021-29512 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)

• >= 2.3.0, < 2.3.3
• >= 2.3.0, < 2.3.3
• >= 2.3.0, < 2.3.3

CVSS 分數

參考連結(6)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-29512
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-440.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-638.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-149.yaml