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
0 Fixed in: 2.11.1 pip install --upgrade 'tensorflow-gpu>=2.11.1' References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf97-q72m-7579 [WEB]
- https://nvd.nist.gov/vuln/detail/CVE-2023-25674 [ADVISORY]
- https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa [WEB]
- https://github.com/tensorflow/tensorflow [PACKAGE]
- https://pypi.org/project/tensorflow-gpu [PACKAGE]
- https://github.com/advisories/GHSA-gf97-q72m-7579 [ADVISORY]