Skip to content

Null dereference on ParallelConcat with XLA

Moderate
pak-laura published GHSA-6wfh-89q8-44jq Mar 24, 2023

Package

pip tensorflow, tensorflow-cpu, tensorflow-gpu (pip)

Affected versions

< 2.12.0

Patched versions

2.12.0, 2.11.1

Description

Impact

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()

Patches

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.

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 r3pwnx of 360 AIVul Team

Severity

Moderate

CVE ID

CVE-2023-25676

Weaknesses

No CWEs