Описание
TensorFlow is an open source platform for machine learning. When tf.quantization.fake_quant_with_min_max_vars_gradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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. When `tf.q ...
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
EPSS
5.9 Medium
CVSS3
7.5 High
CVSS3