Id:
CVE-2020-15193
Comment
:
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.
CVSSv2 Score:
5.5
Access vector:
|
NETWORK
|
Access complexity:
|
LOW
|
Authentication:
|
SINGLE
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
PARTIAL
|
Availability impact:
|
PARTIAL
|
CVSSv2 Vector:
AV:N/AC:L/Au:S/C:N/I:P/A:P
CVSSv3 Score:
7.1
Attack vector:
|
NETWORK
|
Attack complexity:
|
LOW
|
Privileges required:
|
LOW
|
User interaction:
|
NONE
|
Scope:
|
UNCHANGED
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
HIGH
|
Availability impact:
|
LOW
|
CVSSv3 Vector:
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
References: