Описание
Denial of Service in Tensorflow
Impact
The SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L235-L241
Although reverse_index_map_t and grad_values_t are accessed in a similar pattern, only reverse_index_map_t is validated to be of proper shape. Hence, malicious users can pass a bad grad_values_t to trigger an assertion failure in vec, causing denial of service in serving installations.
Patches
We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions.
We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability is a variant of GHSA-63xm-rx5p-xvqr
Ссылки
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9mqp-7v2h-2382
- https://nvd.nist.gov/vuln/detail/CVE-2020-15194
- https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-274.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-309.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-117.yaml
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
Пакеты
tensorflow
< 1.15.4
1.15.4
tensorflow
>= 2.0.0, < 2.0.3
2.0.3
tensorflow
>= 2.1.0, < 2.1.2
2.1.2
tensorflow
= 2.2.0
2.2.1
tensorflow
= 2.3.0
2.3.1
tensorflow-cpu
< 1.15.4
1.15.4
tensorflow-cpu
>= 2.0.0, < 2.0.3
2.0.3
tensorflow-cpu
>= 2.1.0, < 2.1.2
2.1.2
tensorflow-cpu
= 2.2.0
2.2.1
tensorflow-cpu
= 2.3.0
2.3.1
tensorflow-gpu
< 1.15.4
1.15.4
tensorflow-gpu
>= 2.0.0, < 2.0.3
2.0.3
tensorflow-gpu
>= 2.1.0, < 2.1.2
2.1.2
tensorflow-gpu
= 2.2.0
2.2.1
tensorflow-gpu
= 2.3.0
2.3.1
EPSS
6.9 Medium
CVSS4
5.3 Medium
CVSS3
CVE ID
Дефекты
Связанные уязвимости
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, t ...
EPSS
6.9 Medium
CVSS4
5.3 Medium
CVSS3