NetSight
high7.5

CVE-2023-25674

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Impact

### 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

Affected packages

EcosystemPackageAffectedFixed in
piptensorflow< 2.11.12.11.1
piptensorflow-cpu< 2.11.12.11.1
piptensorflow-gpu< 2.11.12.11.1

Affected products

VendorProductAffected versions
GoogleTensorflow
before 2.12.0

Weakness classification

References