Описание
TensorFlow is an open source platform for machine learning. If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min_features or max_features, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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 `Quanti ...
TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3