tensorrt-loop-body-input-oob-poc

TensorRT / onnx-tensorrt PoC: Loop body input OOB (crash)

This repo contains a small malformed ONNX model that triggers a deterministic crash in onnx-tensorrt's Loop importer.

Summary

The ONNX Loop operator has a body subgraph.

onnx-tensorrt assumes that the number of inputs in the loop body subgraph is at least the number of inputs on the outer Loop node.

If a malicious ONNX model provides a Loop node with 3 inputs (trip-count, condition, state0) but the body graph contains only 2 inputs, the parser indexes body.input(2) out-of-bounds while mapping state variables.

Files

• poc_loop_body_input_oob.onnx – malformed ONNX model
• make_poc_loop_body_input_oob.py – generator script (does not require the onnx pip package)
• gen/onnx_pb2.py – protobuf bindings generated from onnx.proto

Reproduction (typical TensorRT install)

Using trtexec

trtexec --onnx=poc_loop_body_input_oob.onnx --verbose

Expected result: process crash / abort during ONNX parse or network build.

Using the C++ API

Any code path that calls the TensorRT ONNX parser on this model should reproduce, e.g. nvonnxparser::IParser::parseFromFile().

Regenerating the model

# Requires: python3 + protobuf runtime, and a generated onnx_pb2 (already included in gen/)
python3 make_poc_loop_body_input_oob.py poc_loop_body_input_oob.onnx