Описание
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from tf.raw_ops.LoadAndRemapMatrix. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) assumes that the ckpt_path is always a valid scalar. However, an attacker can send any other tensor as the first argument of LoadAndRemapMatrix. This would cause the rank CHECK in scalar<T>()() to trigger and terminate the process. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Ссылки
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
- PatchThird Party Advisory
- ExploitPatchThird Party Advisory
Уязвимые конфигурации
Одно из
EPSS
2.5 Low
CVSS3
5.5 Medium
CVSS3
2.1 Low
CVSS2
Дефекты
Связанные уязвимости
TensorFlow is an end-to-end open source platform for machine learning. ...
EPSS
2.5 Low
CVSS3
5.5 Medium
CVSS3
2.1 Low
CVSS2