Lack of data validation In tensorflow
Description
Missing validation results in undefined behavior in `SparseTensorDenseAdd
Impact
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) ...
In this case, a reference gets bound to a nullptr during kernel execution. This is UB.
Patches
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.
For more information
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Attribution
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
pypi | 2.6.4, 2.7.2, 2.8.1 | ||
pypi | 2.6.4, 2.7.2, 2.8.1 | ||
pypi | 2.6.4, 2.7.2, 2.8.1 |
Aliases
References