7.1
CVE-2020-15193
- EPSS 0.22%
- Published 25.09.2020 19:15:14
- Last modified 21.11.2024 05:05:03
- Source security-advisories@github.com
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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.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version2.2.0 SwEdition-
Google ≫ Tensorflow Version2.3.0 SwEdition-
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
| Type | Source | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.22% | 0.411 |
| Source | Base Score | Exploit Score | Impact Score | Vector string |
|---|---|---|---|---|
| nvd@nist.gov | 7.1 | 2.8 | 4.2 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
|
| nvd@nist.gov | 5.5 | 8 | 4.9 |
AV:N/AC:L/Au:S/C:N/I:P/A:P
|
| security-advisories@github.com | 7.1 | 2.8 | 4.2 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
|
CWE-908 Use of Uninitialized Resource
The product uses or accesses a resource that has not been initialized.