CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
37.9%
When running with XLA, tf.raw_ops.ParallelConcat
segfaults with a nullptr dereference when given a parameter shape
with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by r3pwnx of 360 AIVul Team