Описание
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.
Ссылки
- PatchThird Party Advisory
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
- PatchThird Party Advisory
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
Уязвимые конфигурации
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3
5 Medium
CVSS2
Дефекты
Связанные уязвимости
In Tensorflow before version 2.4.0, an attacker can pass an invalid `a ...
Segfault in `tf.quantization.quantize_and_dequantize`
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3
5 Medium
CVSS2