CVE-2023-25676High· 7.5▾ TwilightTensorFlow has null dereference on ParallelConcat with XLA
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 41.3 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
0.4%
0.4% → 0.4%
Last analysed / modified upstream
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.
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This vulnerability has been reported by r3pwnx of 360 AIVul Team
tensorflow < 2.11.1tensorflow-cpu < 2.11.1tensorflow-gpu < 2.11.1Upgrade to a patched release:
tensorflow 2.11.1tensorflow-cpu 2.11.1tensorflow-gpu 2.11.1Connected by shared product, vendor, weakness, or advisory.
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