Python Pickle Malware Scanner

PyPI Test

Security scanner detecting Python Pickle files performing suspicious actions.

For more generic model scanning, Protect AI's modelscan is now available to scan not only Pickle files but also PyTorch, TensorFlow, and Keras.

Getting started

Scan a malicious model on Hugging Face:

pip install picklescan
picklescan --huggingface ykilcher/totally-harmless-model

The scanner reports that the Pickle is calling eval() to execute arbitrary code:

https://huggingface.co/ykilcher/totally-harmless-model/resolve/main/pytorch_model.bin:archive/data.pkl: global import '__builtin__ eval' FOUND
----------- SCAN SUMMARY -----------
Scanned files: 1
Infected files: 1
Dangerous globals: 1

The scanner can also load Pickles from local files, directories, URLs, and zip archives (a-la PyTorch):

picklescan --path downloads/pytorch_model.bin
picklescan --path downloads
picklescan --url https://huggingface.co/sshleifer/tiny-distilbert-base-cased-distilled-squad/resolve/main/pytorch_model.bin

To scan Numpy's .npy files, pip install the numpy package first.

The scanner exit status codes are (a-la ClamAV):

  • 0: scan did not find malware
  • 1: scan found malware
  • 2: scan failed

Develop

Create and activate the conda environment (miniconda is sufficient):

conda env create -f conda.yaml
conda activate picklescan

Install the package in editable mode to develop and test:

python3 -m pip install -e .

Edit with VS Code:

code .

Run unit tests:

pytest tests

Run manual tests:

  • Local PyTorch (zip) file
mkdir downloads
wget -O downloads/pytorch_model.bin https://huggingface.co/ykilcher/totally-harmless-model/resolve/main/pytorch_model.bin
picklescan -l DEBUG -p downloads/pytorch_model.bin
  • Remote PyTorch (zip) URL
picklescan -l DEBUG -u https://huggingface.co/prajjwal1/bert-tiny/resolve/main/pytorch_model.bin

Lint the code:

black src tests
flake8 src tests --count --show-source

Publish the package to PyPI: bump the package version in setup.cfg and create a GitHub release. This triggers the publish workflow.

Alternative manual steps to publish the package:

python3 -m pip install --upgrade pip
python3 -m pip install --upgrade build
python3 -m build
python3 -m twine upload dist/*

Test the package: bump the version of picklescan in conda.test.yaml and run

conda env remove -n picklescan-test
conda env create -f conda.test.yaml
conda activate picklescan-test
picklescan --huggingface ykilcher/totally-harmless-model

Tested on Linux 5.10.102.1-microsoft-standard-WSL2 x86_64 (WSL2).

References

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.5)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for mmaitre314 from gravatar.com mmaitre314

Credits

Author: Matthieu Maitre

License

MIT License

Requires

Python >=3.9

Classifiers

Report project as malware

Download files

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Source Distribution

picklescan-0.0.15.tar.gz (15.9 kB view details)

Uploaded Source

Built Distribution

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picklescan-0.0.15-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file picklescan-0.0.15.tar.gz.

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  • Download URL: picklescan-0.0.15.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for picklescan-0.0.15.tar.gz
Algorithm Hash digest
SHA256 a22eb80cd35f7ae3bf3b07f4ad04ecbe75b7ba1d1d2a5c5d58052abf49eaa858
MD5 c01b3426242ec0966509d4b6eb92e5d6
BLAKE2b-256 8b2311f9b2a5f7c7ef563546e2f04fb371caadba2c7425d08bdc82f174df5fa5

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File details

Details for the file picklescan-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: picklescan-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for picklescan-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 0ca77f64c67224772bd68565f89ae6f491c219938c09cc70089f56bb22a2bc7b
MD5 83d0c84b211368215942bc65b534bb72
BLAKE2b-256 5ff92b780ad4d376491a85ac364292838aace5c91f10a9f043fa94e3740876e7

See more details on using hashes here.

Release history Release notifications | RSS feed

1.0.5

2 files

1.0.4

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1.0.3

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1.0.2

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1.0.1

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1.0.0

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This release

0.0.15 This release

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0.0.1

2 files

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