CVE-2022-29206Medium· 5.5▾ SunlitMissing validation results in undefined behavior in `SparseTensorDenseAdd
▾ Sunlit zone — Low / medium · no exploitation signal
impact 30.3 · 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
Last analysed / modified upstream
0.3%
0.3% → 0.3%
The implementation of tf.raw_ops.SparseTensorDenseAdd does not fully validate the input arguments:
import tensorflow as tf
a_indices = tf.constant(0, shape=[17, 2], dtype=tf.int64)
a_values = tf.constant([], shape=[0], dtype=tf.float32)
a_shape = tf.constant([6, 12], shape=[2], dtype=tf.int64)
b = tf.constant(-0.223668531, shape=[6, 12], dtype=tf.float32)
tf.raw_ops.SparseTensorDenseAdd(
a_indices=a_indices, a_values=a_values, a_shape=a_shape, b=b)
In this case, a reference gets bound to a nullptr during kernel execution. This is UB.
We have patched the issue in GitHub commit 11ced8467eccad9c7cb94867708be8fa5c66c730.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
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This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
tensorflow < 2.6.4tensorflow >= 2.7.0, < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow-cpu < 2.6.4tensorflow-cpu >= 2.7.0, < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-gpu < 2.6.4tensorflow-gpu >= 2.7.0, < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1Upgrade to a patched release:
tensorflow 2.6.4tensorflow 2.7.2tensorflow 2.8.1tensorflow-cpu 2.6.4tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-gpu 2.6.4tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1Connected by shared product, vendor, weakness, or advisory.
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