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Python Pickle Malware Scanner

PyPI Test

Security scanner detecting Python Pickle files performing suspicious actions.

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

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

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

Download files

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Source Distribution

picklescan-0.0.3.tar.gz (9.1 kB view details)

Uploaded Source

Built Distribution

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picklescan-0.0.3-py3-none-any.whl (10.5 kB view details)

Uploaded Python 3

File details

Details for the file picklescan-0.0.3.tar.gz.

File metadata

  • Download URL: picklescan-0.0.3.tar.gz
  • Upload date:
  • Size: 9.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for picklescan-0.0.3.tar.gz
Algorithm Hash digest
SHA256 85bf69c3de1f06f5ab505b1f4d013564aee0877f1e883660b3c792c817c908b1
MD5 70d0e639bee6aa5bc70f7a6e9b73fd03
BLAKE2b-256 b68fae25bd8ba64a8f45ff6863f6881d9b3e5b6e13306c5ffbfb888c4a1e4e27

See more details on using hashes here.

File details

Details for the file picklescan-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: picklescan-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 10.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for picklescan-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9767f3db46d4b32a94ed8b1d299d1d53c9ca07127bde88f41690f325e3c428d3
MD5 dea094795111f9dcc54a1601c4125e6a
BLAKE2b-256 7c7ca873853ec3e337ce099e37700c719e09de040e15fc02b2b1bb83195825c5

See more details on using hashes here.

Release history Release notifications | RSS feed

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.0.35

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0.0.34

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0.0.33

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0.0.32

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0.0.31

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0.0.30

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0.0.28

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0.0.27

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0.0.26

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0.0.25

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0.0.23

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0.0.22

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0.0.19

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0.0.18

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0.0.17

2 files

0.0.16

2 files

0.0.15

2 files

0.0.14

2 files

0.0.13

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

This release

0.0.3 This release

2 files

0.0.2

2 files

0.0.1

2 files

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