Total vulnerabilities in the database
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.
Software | From | Fixed in |
---|---|---|
google / tensorflow | 2.2.0 | 2.2.0.x |
google / tensorflow | 2.3.0 | 2.3.0.x |
opensuse / leap | 15.2 | 15.2.x |
![]() |
2.2.0 | 2.2.0.x |
![]() |
2.2.0 | 2.2.1 |
![]() |
2.3.0 | 2.3.0.x |
![]() |
2.3.0 | 2.3.1 |
![]() |
2.2.0 | 2.2.0.x |
![]() |
2.2.0 | 2.2.1 |
![]() |
2.3.0 | 2.3.0.x |
![]() |
2.3.0 | 2.3.1 |
![]() |
2.2.0 | 2.2.0.x |
![]() |
2.2.0 | 2.2.1 |
![]() |
2.3.0 | 2.3.0.x |
![]() |
2.3.0 | 2.3.1 |