mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
69 lines
2.3 KiB
Markdown
69 lines
2.3 KiB
Markdown
# Standards and References - Splunk SPL Detection Rules
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## Industry Standards
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### MITRE ATT&CK Framework
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- Primary mapping standard for detection rule categorization
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- Version 18.1 (December 2025) is the latest release
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- Use ATT&CK Navigator for visual coverage mapping
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### Splunk Common Information Model (CIM)
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- Standard field naming convention for normalized data
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- Data models: Authentication, Network_Traffic, Endpoint, Web, Email
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- Enables cross-sourcetype correlation searches
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### NIST SP 800-92 - Guide to Computer Security Log Management
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- Log management planning and policy guidance
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- Defines log collection, analysis, and retention best practices
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### NIST SP 800-61 Rev 2 - Computer Security Incident Handling Guide
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- Incident detection and analysis procedures
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- Defines severity classification for generated alerts
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## Splunk Enterprise Security Resources
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### Correlation Search Framework
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- Supports scheduled searches with adaptive response actions
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- Risk-based alerting (RBA) aggregates risk events by entity
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- Notable events are the primary output for SOC analyst review
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### Data Model Acceleration
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- tstats provides fast summary-based searching
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- Accelerated data models required for production correlation searches
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- CIM compliance ensures cross-source detection capability
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### Key Splunk SPL Commands for Detection
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| Command | Purpose |
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| `stats` | Aggregate events by fields |
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| `tstats` | Fast search over accelerated data models |
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| `eventstats` | Add aggregated stats inline to events |
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| `streamstats` | Running statistics over ordered events |
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| `transaction` | Group related events into transactions |
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| `lookup` | Enrich events with external data |
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| `where` | Filter results with boolean expressions |
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| `eval` | Create calculated fields |
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## Detection Engineering Maturity Model
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### Level 1 - Basic Threshold Rules
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- Simple count-based thresholds
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- Single data source correlation
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### Level 2 - Multi-Source Correlation
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- Cross-source event correlation
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- Asset and identity enrichment
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### Level 3 - Behavioral Analytics
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- Baseline deviation detection
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- User and entity behavior profiling
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### Level 4 - Risk-Based Alerting
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- Cumulative risk scoring per entity
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- Context-aware severity assignment
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### Level 5 - Automated Response
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- Adaptive response action integration
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- SOAR playbook triggering from notable events
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