Impact
An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.SparseMatMul:
import tensorflow as tf
a = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)
b = tf.constant([], shape=[0, 2], dtype=tf.float32)
tf.raw_ops.SparseMatMul(
a=a, b=b, transpose_a=True, transpose_b=True,
a_is_sparse=True, b_is_sparse=True)
The division by 0 occurs deep in Eigen code because the b tensor is empty.
Patches
We have patched the issue in GitHub commit 7f283ff806b2031f407db64c4d3edcda8fb9f9f5.
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team.
Impact
An attacker can cause a denial of service via a FPE runtime error in
tf.raw_ops.SparseMatMul:The division by 0 occurs deep in Eigen code because the
btensor is empty.Patches
We have patched the issue in GitHub commit 7f283ff806b2031f407db64c4d3edcda8fb9f9f5.
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team.