| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | < 2.11.1 | 2.11.1 |
| tensorflow-cpu | < 2.11.1 | 2.11.1 |
| tensorflow-gpu | < 2.11.1 | 2.11.1 |
| tensorflow | < 2.12.0 | 2.12.0 |
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by r3pwnx of 360 AIVul Team
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