CVE-2021-37638High· 7.7▾ TwilightNull pointer dereference in `RaggedTensorToTensor`
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 42.4 · likelihood 0 · 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
Last analysed / modified upstream
0.2%
Sending invalid argument for row_partition_types of tf.raw_ops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior:
import tensorflow as tf
tf.raw_ops.RaggedTensorToTensor(
shape=1,
values=10,
default_value=21,
row_partition_tensors=tf.constant([0,0,0,0]),
row_partition_types=[])
The implementation accesses the first element of a user supplied list of values without validating that the provided list is not empty.
We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
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This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
tensorflow < 2.3.4tensorflow >= 2.4.0, < 2.4.3tensorflow >= 2.5.0, < 2.5.1tensorflow-cpu < 2.3.4tensorflow-cpu >= 2.4.0, < 2.4.3tensorflow-cpu >= 2.5.0, < 2.5.1tensorflow-gpu < 2.3.4tensorflow-gpu >= 2.4.0, < 2.4.3tensorflow-gpu >= 2.5.0, < 2.5.1Upgrade to a patched release:
tensorflow 2.3.4tensorflow 2.4.3tensorflow 2.5.1tensorflow-cpu 2.3.4tensorflow-cpu 2.4.3tensorflow-cpu 2.5.1tensorflow-gpu 2.3.4tensorflow-gpu 2.4.3tensorflow-gpu 2.5.1Connected by shared product, vendor, weakness, or advisory.
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