Описание
TensorFlow is an open source platform for machine learning. If Requantize is given input_min, input_max, requested_output_min, requested_output_max tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Ссылки
- PatchThird Party Advisory
- Third Party Advisory
- PatchThird Party Advisory
- Third Party Advisory
Уязвимые конфигурации
Одно из
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3
Дефекты
Связанные уязвимости
TensorFlow is an open source platform for machine learning. If `Requan ...
TensorFlow vulnerable to segfault in `Requantize`
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3