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droid

droid is a PySigma wrapper allowing an easy adoption of Sigma and helps enabling Detection-As-Code. The ultimate goal of droid is to consume a repository Sigma rules and deploy them on one or multiple platform (SIEM/EDR). The tool also supports plain SIEM/EDR search queries.

droid workflow

🚀 Features

Key features are:

  1. Validate the syntax of Sigma rules
  2. Convert them by applying a set of transforms per log source and platform
  3. Search in logs and report on findings
  4. Test the rules by leveraging Atomic Red Team™ (work in progress)
  5. Deploy them with any compatible SIEM and EDR (.e.g. Splunk, Microsoft Sentinel)

🚂 Get started

To get started with the tool, visit the documentation page and configure droid for your environment.

Note: Python version 3.11.8+ is required

📚 Resources

License

Licensed under the EUPL.

Metadata

Release files for detect-droid 0.3.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for detect-droid 0.3.4
File Size Uploaded
detect_droid-0.3.4.tar.gz 61.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for detect-droid 0.3.4
File Interpreter ABI Platform
detect_droid-0.3.4-py3-none-any.whl Python 3 none any Details

Total release size: 127.9 kB

Release files / detect_droid-0.3.4.tar.gz

Download URL detect_droid-0.3.4.tar.gz
Size 61.8 kB
Tags Source
SHA-256 checksum
How to use checksums
e190240c3b8191811e0b932a500719a572937ea1d983dfdab79c5b28a2c6caee
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1afb2311807c24bba6c39982e7a0bc0e45a3bed0738d25b76ac818fdb8c611aa
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Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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Signed by GitHub Actions, verified by PyPI on Sep 16, 2026.

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Release files / detect_droid-0.3.4-py3-none-any.whl

Download URL detect_droid-0.3.4-py3-none-any.whl
Size 66.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e5bbc98e66bea7988c261f9ac1fd5ccca09bc01a054bed75f5610abb0068aee0
BLAKE2b-256 checksum
How to use checksums
5bff858a97080fdb711b63490d4cd9c9194f51245d16ad40a27a40ff68f745c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 16, 2026.

Transparency log
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