A standalone SIGMA-based detection tool for EVTX, Auditd and Sysmon for Linux logs
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Updated
Oct 20, 2026 - Python
A standalone SIGMA-based detection tool for EVTX, Auditd and Sysmon for Linux logs
simple webapp for converting sigma rules into siem queries using the pySigma library
A reactJS web app that can take a ruleset and translate it into any SIEM search query, using Sigma
pySigma backend that converts Sigma detection rules to LogsQL queries for VictoriaLogs
Detection-as-code for OT/ICS: Sigma + native Suricata rules, dependency-free Rust DNP3/S7comm/OPC UA decoders, ATT&CK for ICS coverage, purple-team validation and multi-SIEM conversion.
Convert Sigma detections (pySigma) into Wazuh 4.x analysisd XML. Honest skips, persistent SIDs, no vendored SigmaHQ rules.
pySigma backend for Sumo Logic Cloud SIEM rule conversion
Offline detection-as-code lab for original Sigma rules, synthetic behavioral tests, ATT&CK mapping, coverage analysis, and pySigma query conversion.
Reglas Sigma de detección mapeadas a MITRE ATT&CK, validadas y convertibles a queries reales con pySigma
Detection Matchability Analyzer - finds the Sigma rules that can never match your real post-pipeline data, explains why, and generates the minimal event that would prove each one can fire.
Detection-as-code pipeline with measured precision/recall against OTRF captures. 20 Sigma rules, multi-SIEM (SPL/EQL/KQL), ATT&CK coverage, two logsource baselines. By Aadarsh Kadam.
pySigma backend for Varpulis VPL: Sigma rules, correlation rules included, as detection streams
Fixture-validated Sigma detections compiled for Elastic and CrowdStrike LogScale with evidence manifests, CI, and documented validation boundaries.
Detection-as-code: 41 Sigma rules linted, unit-tested and regression-tested against public ATT&CK recordings, converted to SPL/Elastic/KQL, with an ATT&CK coverage layer.
Detection engineering tool: load JSONL datasets, write Sigma rules, run them against OpenSearch, track findings and experiments.
pySigma backend that compiles Sigma detection rules into IBM QRadar AQL
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