OOB read in IdentifySharedTensors
Hi @SiriusHsh

As this https://github.com/tensorflow/tensorflow/issues/60620#issuecomment-1553442519 suggests, please consult https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md#vulnerabilities-in-tensorflow and follow rules for responsible disclosure.

Thanks. Hi @SiriusHsh,

I am unable to reproduce locally, I get a proper exception which I think is expected given the input. Are you sure you uploaded the correct file?
```
./benchmark_model --graph=arena_planner_IdentifySharedTensors_oob.tflite
INFO: STARTING!
WARN: Duplicate flags: num_threads
INFO: Log parameter values verbosely: [0]
INFO: Graph: [arena_planner_IdentifySharedTensors_oob.tflite]
INFO: Loaded model arena_planner_IdentifySharedTensors_oob.tflite
INFO: Initialized TensorFlow Lite runtime.
INFO: Applying 1 TensorFlow Lite delegate(s) lazily.
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
ERROR: tensorflow/lite/kernels/squeeze.cc:39 NumInputs(node) != 1 (0 != 1)
ERROR: Node number 0 (SQUEEZE) failed to prepare.
ERROR: Failed to apply the default TensorFlow Lite delegate indexed at 0.
ERROR: Failed to allocate tensors!
ERROR: Benchmarking failed.
``` This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/60623">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/60623">No</a>

<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

tf 2.14.0

### Custom Code

No

### OS Platform and Distribution

Ubuntu 18.04.6

### Mobile device

_No response_

### Python version

Python 3.8.3

### Bazel version

bazel 5.3.0

### GCC/Compiler version

gcc 7.5.0

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

A malicious model can manipulate external data, causing the input_tensor to be an unexpectedly large integer.

```c
// arena_planner.cc
void ArenaPlanner::IdentifySharedTensors() {
      ...
    const auto& tflite_node = graph_info_->node(i); 
    if (ShareFirstInputWithFirstOutputForNode(reg)) {
      int32_t input_tensor = tflite_node.inputs->data[0]; //  input_tensor maybe an unexpectedly large integer
      int32_t output_tensor = tflite_node.outputs->data[0];
      bool is_input_or_output_tensor = false;
       ...
      TfLiteAllocationType input_allocation_type =
          tensors[input_tensor].allocation_type;  // OOB read
```

[arena_planner_IdentifySharedTensors_oob.zip](https://github.com/tensorflow/tensorflow/files/11503622/arena_planner_IdentifySharedTensors_oob.zip)


### Standalone code to reproduce the issue

```shell
When I use the benchmark tool for PoC validation, it causes the TensorFlow Lite inference process to be subjected to a DOS（coredump).


❯ ./benchmark_model --graph=./arena_planner_IdentifySharedTensors_oob.tflite
INFO: STARTING!
INFO: Log parameter values verbosely: [0]
INFO: Graph: [./arena_planner_IdentifySharedTensors_oob.tflite]
INFO: Loaded model ./arena_planner_IdentifySharedTensors_oob.tflite
[1]    8305 segmentation fault (core dumped)  ./benchmark_model --graph=./arena_planner_IdentifySharedTensors_oob.tflite
```
```


### Relevant log output

_No response_</details>