AGENT SKILL

soc-detection-sigma

Soc Detection Sigma.

License 许可
MIT
最近更新
2026-09-01
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01 前言 Front Matter

name
soc-detection-sigma
domain
cybersecurity
description
Soc Detection Sigma.

02 资源文件 1

03 SKILL.md 正文

--| | Sigma | Vendor-agnostic detection rule format (YAML-based) that compiles to SIEM-specific queries via backends | | pySigma | Python library replacing legacy sigmac for rule conversion, validation, and pipeline processing | | Backend | pySigma plugin that translates Sigma detection logic into a target platform query language (SPL, KQL, Lucene) | | Pipeline | Field mapping configuration that translates generic Sigma field names to SIEM-specific field names | | Logsource | Sigma rule section defining the category (process_creation, network_connection) and product (windows, linux) of the target data | | Detection-as-Code | Practice of managing detection rules in version control with CI/CD testing and automated deployment |

Tools & Systems

  • SigmaHQ: Official Sigma rule repository with 3,000+ community-maintained detection rules on GitHub
  • pySigma: Python-based Sigma rule processing framework with modular backends and pipelines
  • ATT&CK Navigator: MITRE tool for visualizing detection coverage mapped to ATT&CK techniques
  • Uncoder.IO: Web-based Sigma rule converter supporting 30+ SIEM platforms for quick translation

Common Scenarios

  • New CVE Detection: Write Sigma rule for exploitation indicators (e.g., Log4Shell JNDI lookup patterns in web logs)
  • Hunting Rule Promotion: Convert ad-hoc Splunk hunting query into Sigma rule for ongoing automated detection
  • Multi-SIEM Migration: Converting 500+ Splunk correlation searches to Sigma for migration to Elastic Security
  • Purple Team Output: Convert red team findings into Sigma rules for immediate defensive coverage
  • Threat Intel Operationalization: Transform IOC-based threat reports into behavioral Sigma rules

Output Format

SIGMA RULE DEPLOYMENT REPORT
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Rule ID:      0d894093-71bc-43c3-8d63-bf520e73a7c5
Title:        Mimikatz Credential Dumping via LSASS Access
ATT&CK:       T1003.001 - LSASS Memory
Severity:     High
Status:       Deployed to Production

Conversions:
  Splunk SPL:    PASS — Saved search "sigma_lsass_access" created
  Elastic EQL:   PASS — Detection rule ID elastic-0d894093 enabled
  Sentinel KQL:  PASS — Analytics rule deployed via ARM template

Testing:
  True Positives:    4/4 test cases matched
  False Positives:   2 in 7-day backtest (svchost edge case — filter added)
  Performance:       Avg execution 3.2s on 50M events/day

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