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HIGH7.5

PYSEC-2026-956

TensorFlow has Floating Point Exception in TensorListSplit with XLA

Quick fix

PYSEC-2026-956 — tensorflow-gpu: upgrade to the fixed version with the command below.

pip install --upgrade 'tensorflow-gpu>=2.11.1'

Details

### Impact FPE in TensorListSplit with XLA ```python 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](https://github.com/tensorflow/tensorflow/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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

### Attribution This vulnerability has been reported by r3pwnx

Are you affected?

Enter the version of the package you're using.

Affected packages

PyPI/tensorflow-gpu
Introduced in: 0Fixed in: 2.11.1
Fixpip install --upgrade 'tensorflow-gpu>=2.11.1'

References