CVE-2020-15193
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.
EPSS 0.22% · 44.1th percentile
Risk Scores
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Bitnami | tensorflow | 2.2.0, 2.3.0 |
| Bitnami | tensorflow | 2.2.0, 2.3.0 |
Exploit Intelligence
Timeline
- Sep 25, 2020 CVE Published
- Apr 14, 2021 EPSS Score
- Jun 23, 2021 EPSS Score
- Aug 24, 2021 EPSS Score
- Oct 26, 2021 EPSS Score
- Jan 6, 2022 EPSS Score
- Feb 4, 2022 EPSS Score
- Feb 28, 2022 EPSS Score
- Apr 1, 2022 EPSS Score
- May 1, 2022 EPSS Score
- Jul 3, 2022 EPSS Score
- Sep 4, 2022 EPSS Score
References
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html url
- https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8 url
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 url
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v url
- https://nvd.nist.gov/vuln/detail/CVE-2020-15193 url