sigma-rule-matcher
sigma-rule-matcher is a Python package for evaluating Sigma detection rules against structured event data.
Built on top of pySigma, it parses and applies Sigma rule logic—including
condition expressions and most common modifiers—to incoming events to determine whether they match.
So far, this project is primarily a learning tool, put together to better understand how Sigma rules operate under the hood.
Installation
Install the package from PyPI:
pip install sigma-rule-matcher
Requires Python 3.10 or later. This will install the library and its dependencies:
- boolean.py (for boolean expression evaluation)
- pySigma (for parsing Sigma rules)
Usage
Sigma rules can include multiple selectors, logical operators, and modifiers. For example:
from sigma.rule import SigmaRule
from sigma_rule_matcher import RuleMatcher
sigma_rule = '''
title: Suspicious activity
logsource:
product: test
detection:
sel1:
src_ip:
- 10.0.0.1
- 10.0.0.2
sel2:
user:
- root
sel3:
process_name:
- 'malicious.exe'
condition: (sel1 or sel2) and sel3
'''
rule = SigmaRule.from_yaml(sigma_rule)
matcher = RuleMatcher(rule)
# Test against an event
event = {
'src_ip': '10.0.0.2',
'user': 'guest',
'process_name': 'malicious.exe'
}
assert matcher.match(event) is True
Running Tests
The library includes a comprehensive test suite. To run the tests:
pytest
License
This project is licensed under the MIT License.
It uses the pySigma library, which is licensed under the GNU Lesser General Public License v2.1 (LGPL-2.1). A copy of the LGPL-2.1 license is here.
We use pySigma without modification.
Metadata
Release files for sigma-rule-matcher 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sigma_rule_matcher-0.1.0.tar.gz | 14.3 kB | Without provenance | Details for sigma_rule_matcher-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sigma_rule_matcher-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for sigma_rule_matcher-0.1.0-py3-none-any.whl |
Total release size: 24.8 kB
Release files / sigma_rule_matcher-0.1.0.tar.gz
| Download URL | sigma_rule_matcher-0.1.0.tar.gz |
|---|---|
| Size | 14.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bfc099cbd09691602357a4d0adc35e11a647e6b13da55b50a6712bc10cba7677
|
|
BLAKE2b-256 checksum How to use checksums |
35c1181de632fa355f074fb6513f1a429ff7ac6ae1ee663bdc90b559718ada4b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Hatch/1.16.2 cpython/3.13.9 HTTPX/0.28.1
|
Release files / sigma_rule_matcher-0.1.0-py3-none-any.whl
| Download URL | sigma_rule_matcher-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
003f6d5482eb0790a2f0b21a4d01f59b51aebd9437cf3c12239ae1c0693a970f
|
|
BLAKE2b-256 checksum How to use checksums |
1e6804ddad69202753070355d1d99b5e2de44eecbde36162fb4c67338c73de08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Hatch/1.16.2 cpython/3.13.9 HTTPX/0.28.1
|
Security for sigma-rule-matcher 0.1.0
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.