NPE in RandomShuffle with XLA enable
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()
We have patched the issue in GitHub commit 728113a3be690facad6ce436660a0bc1858017fa.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
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This vulnerability has been reported by r3pwnx
{ "nvd_published_at": "2023-03-25T00:15:00Z", "github_reviewed_at": "2023-03-24T21:54:31Z", "severity": "HIGH", "github_reviewed": true, "cwe_ids": [ "CWE-476" ] }