mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
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
65 lines
2.4 KiB
Markdown
65 lines
2.4 KiB
Markdown
---
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name: hunting-for-startup-folder-persistence
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description: Detect T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation,
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analyzing autoruns entries, and using Python watchdog for real-time filesystem monitoring.
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domain: cybersecurity
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subdomain: threat-hunting
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tags:
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- threat-hunting
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- T1547.001
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- startup-folder
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- persistence
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- autoruns
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- watchdog
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- filesystem-monitoring
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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d3fend_techniques:
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- Executable Denylisting
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- Execution Isolation
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- File Metadata Consistency Validation
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- Content Format Conversion
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- File Content Analysis
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nist_csf:
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- DE.CM-01
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- DE.AE-02
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- DE.AE-07
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- ID.RA-05
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---
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# Hunting for Startup Folder Persistence
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## Overview
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Attackers use Windows startup folders for persistence (MITRE ATT&CK T1547.001 — Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder). Files placed in `%APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup` or `C:\ProgramData\Microsoft\Windows\Start Menu\Programs\Startup` execute automatically at user logon. This skill scans startup directories for suspicious files, monitors for real-time changes using Python watchdog, and analyzes file metadata to detect persistence implants.
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## When to Use
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- When investigating security incidents that require hunting for startup folder persistence
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Python 3.9+ with `watchdog`, `pefile` (optional for PE analysis)
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- Access to Windows startup folders (user and all-users)
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- Windows Event Logs for Event ID 4663 correlation (optional)
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## Steps
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1. Enumerate all files in user and system startup directories
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2. Analyze file types, creation timestamps, and digital signatures
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3. Flag suspicious file extensions (.bat, .vbs, .ps1, .lnk, .exe)
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4. Check for recently created files (< 7 days) as potential implants
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5. Monitor startup folders in real-time using watchdog FileSystemEventHandler
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6. Correlate with known legitimate startup entries
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7. Generate threat hunting report with T1547.001 MITRE mapping
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## Expected Output
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- JSON report listing all startup folder contents with risk scores, file metadata, and suspicious indicators
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- Real-time monitoring alerts for new file creation in startup directories
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