VDB
KO
HIGH 7.5

PYSEC-2026-999

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Details

### Impact NPE in RandomShuffle with XLA enable ```python import tensorflow as tf

func = tf.raw_ops.RandomShuffle para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}

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

test() ```

### 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

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Affected packages

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

References