CVE-2020-15193
Memory corruption in Tensorflow
- State
- Published
- Severity
- 7.1 High
- Published
- Sep 25, 2020
- Updated
- Aug 4, 2024
- Reserved
- Jun 25, 2020
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.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 7.1 High | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L | GitHub_M |
Weaknesses
- CWE-908 {"CWE-908":"Use of Uninitialized Resource"}
Affected Products
| Product | Versions |
|---|---|
tensorflowtensorflow |
|
References
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