Описание
Segfault in tf.quantization.quantize_and_dequantize
Impact
An attacker can pass an invalid axis value to tf.quantization.quantize_and_dequantize:
This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation:
However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array:
Since in normal builds, DCHECK-like macros are no-ops, this results in segfault and access out of bounds of the array.
Patches
We have patched the issue in eccb7ec454e6617738554a255d77f08e60ee0808 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
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 has been reported in #42105
Ссылки
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
- https://nvd.nist.gov/vuln/detail/CVE-2020-15265
- https://github.com/tensorflow/tensorflow/issues/42105
- https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-295.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-330.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-138.yaml
Пакеты
tensorflow
< 2.4.0
2.4.0
tensorflow-cpu
< 2.4.0
2.4.0
tensorflow-gpu
< 2.4.0
2.4.0
Связанные уязвимости
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
In Tensorflow before version 2.4.0, an attacker can pass an invalid `a ...