Vulnerability Information
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Vulnerability Title
Memory corruption in Tensorflow
Vulnerability Description
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.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Vulnerability Type
对未经初始化资源的使用
Vulnerability Title
Google TensorFlow 代码问题漏洞
Vulnerability Description
Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Tensorflow 2.2.1之前版本，2.3.1版本中存在安全漏洞，该漏洞源于pybind11粘合代码假定参数是张量，该漏洞允许攻击者使dlpack.to_dlpack的实现使用未初始化的内存，从而导致进一步的内存损坏。
CVSS Information
N/A
Vulnerability Type
N/A