The MALPZ (Malware Pickled Zip) format describes a method of neutering malware while providing a simple, extensible mechanism for capturing metadata
Project description
malpz
Overview
The MALPZ (Malware Pickled Zip) format describes a method of neutering malware while providing a simple, extensible mechanism for capturing metadata.
This project is deprecated and we encourage use of CART format instead.
https://github.com/CybercentreCanada/cart
Dependency management
Dependencies are managed in the pyproject.toml and debian.txt file.
Version pinning is achieved using the uv.lock file.
Because the uv.lock file is configured to use a private UV registry, external developers using UV will need to delete the existing uv.lock file and update the project configuration to point to the publicly available PyPI registry instead.
To add new dependencies it's recommended to use uv with the command uv add <new-package>
or for a dev package uv add --dev <new-dev-package>
The tool used for linting and managing styling is ruff and it is configured via pyproject.toml
The debian.txt file manages the debian dependencies that need to be installed on development systems and docker images.
Sometimes the debian.txt file is insufficient and in this case the Dockerfile may need to be modified directly to install complex dependencies.
Project details
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Source Distribution
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File details
Details for the file malpz-11.0.13.tar.gz.
File metadata
- Download URL: malpz-11.0.13.tar.gz
- Upload date:
- Size: 21.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26e2a61c0e796c0906ecbab740c868b0d9300daceee627f8048cb5df40e1b419
|
|
| MD5 |
8ff1442ca10239a2ca274cd6ea9c12bc
|
|
| BLAKE2b-256 |
fffe3bac5819cab1e5b5a05ad3264ea92b121384268f414cab9655a12353f83b
|
File details
Details for the file malpz-11.0.13-py3-none-any.whl.
File metadata
- Download URL: malpz-11.0.13-py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
250cd60332ecb9623a110e64a9e787164a711271bff82ae0882e7ffb9985f081
|
|
| MD5 |
6e8ecad1414f58605ab883d036c873c2
|
|
| BLAKE2b-256 |
a607938ba4c9981259bf3ca8650361e343228f25e1315c31e857a9997e006280
|