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# ModelScan v0.8.8 cloudpickle/dill scanner false negative PoC
## Summary
ModelScan v0.8.8 reports no issues for benign canary artifacts serialized with `cloudpickle` and `dill`, while controlled local loading of the same artifacts creates a benign marker file.
The same canary pattern is detected when serialized with standard `pickle` and `joblib`, suggesting a scanner coverage gap for cloudpickle/dill artifacts.
## Files
- `canary_cloudpickle.pkl` β€” benign cloudpickle canary
- `canary_dill.pkl` β€” benign dill canary
- `verify_cloudpickle_dill_load.py` β€” controlled local verification script
- `modelscan_cloudpickle.txt` β€” ModelScan output for cloudpickle artifact
- `modelscan_dill.txt` β€” ModelScan output for dill artifact
- `controlled_load.txt` β€” proof that controlled load creates marker
- `env.txt` β€” environment versions
- `sha256.txt` β€” artifact hashes
## Reproduction
Run in a local test environment:
```bash
python -m venv .venv
source .venv/bin/activate
pip install modelscan==0.8.8 cloudpickle==3.1.2 dill==0.4.1
modelscan -p canary_cloudpickle.pkl
modelscan -p canary_dill.pkl
python verify_cloudpickle_dill_load.py
```
## Expected result
ModelScan reports no issues for both `canary_cloudpickle.pkl` and `canary_dill.pkl`.
Controlled loading reports:
```text
exists_after=True
marker_content=serialization canary was loaded
```
## Impact
A cloudpickle or dill model artifact may pass ModelScan with zero findings while still triggering behavior when loaded by an application using `cloudpickle.load()` or `dill.load()`.
This PoC is benign. It writes a local marker file only.