chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
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+## TFSA-2022-074: Missing validation results in undefined behavior in `SparseTensorDenseAdd`
+
+### CVE Number
+CVE-2022-29206
+
+### Impact
+The implementation of [`tf.raw_ops.SparseTensorDenseAdd`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse_tensor_dense_add_op.cc) does not fully validate the input arguments:
+
+```python
+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.
+
+### Patches
+We have patched the issue in GitHub commit [11ced8467eccad9c7cb94867708be8fa5c66c730](https://github.com/tensorflow/tensorflow/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
+Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
+
+### Attribution
+This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.