CVE-2020-15193

描述

In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

如何修補 CVE-2020-15193

要修補 CVE-2020-15193,請將受影響套件升級到下列已修補版本。

• —升級至 2.2.1 或更新版本
• —升級至 2.2.1 或更新版本
• —升級至 2.2.1 或更新版本

CVE-2020-15193 正在被利用嗎?

低 — EPSS 為 0.7%,目前沒有觀察到大規模利用活動。

受影響套件(3)

• >= 2.2.0, < 2.2.1
• >= 2.2.0, < 2.2.1
• >= 2.2.0, < 2.2.1

CVSS 分數

參考連結(9)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15193
• PATCHgithub.com/tensorflow/tensorflow
• WEBlists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-273.yaml