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README.md
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# TensorRT VULN-004: Input-Controlled DoS via While-Loop Models
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## Vulnerability
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A structurally valid ONNX model (351 bytes) using a condition-dependent Loop
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operator hangs indefinitely during TensorRT inference when given a malicious
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input value. The model works correctly with normal inputs but hangs permanently
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with extreme inputs.
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## Distinct from VULN-003
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- VULN-003: Malicious MODEL with static INT64_MAX trip count
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- VULN-004: Normal MODEL + malicious INPUT data
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- VULN-003 fix (validate max_trip_count) does NOT prevent this
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- Requires runtime protection: inference timeout / iteration budget
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## Impact
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- Input-controlled DoS for any TRT model using while-loops
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- Attacker only needs to send a single malicious float value
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- Affects Triton, TensorRT-LLM, any TRT-based pipeline
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- Model is structurally valid -- cannot be detected by static analysis
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## Files
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| File | Description |
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|------|-------------|
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| vuln004_input_dos.py | Main PoC script |
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| while_loop.onnx | While-loop ONNX model (351 bytes) |
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| while_loop.engine | Compiled TRT engine (11,124 bytes) |
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## Reproduction
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```bash
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pip install tensorrt onnx torch numpy
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python vuln004_input_dos.py
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```
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## Results
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- counter=10: completes in 0.001s
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- counter=1000: completes in 0.055s
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- counter=1e6: HANGS indefinitely
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- counter=1e30: HANGS indefinitely
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- counter=FLT_MAX: HANGS indefinitely
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- No timeout, no warning, no error
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