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Anthropic-Cybersecurity-Skills/skills/hunting-for-startup-folder-persistence/SKILL.md
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mukul975 efca3ec611 feat: add NIST CSF 2.0 nist_csf field to all 754 cybersecurity skills
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions)
based on subdomain and content analysis. Restores 11 skills corrupted during
prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields.

All 754 skills now carry structured mappings for all 5 security frameworks:
- MITRE ATT&CK (in tags)
- MITRE ATLAS v5.5 (atlas_techniques)
- MITRE D3FEND v1.3 (d3fend_techniques)
- NIST AI RMF 1.0 (nist_ai_rmf)
- NIST CSF 2.0 (nist_csf)
2026-04-06 11:17:40 +02:00

2.4 KiB

name, description, domain, subdomain, tags, version, author, license, d3fend_techniques, nist_csf
name description domain subdomain tags version author license d3fend_techniques nist_csf
hunting-for-startup-folder-persistence Detect T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation, analyzing autoruns entries, and using Python watchdog for real-time filesystem monitoring. cybersecurity threat-hunting
threat-hunting
T1547.001
startup-folder
persistence
autoruns
watchdog
filesystem-monitoring
1.0 mahipal Apache-2.0
Executable Denylisting
Execution Isolation
File Metadata Consistency Validation
Content Format Conversion
File Content Analysis
DE.CM-01
DE.AE-02
DE.AE-07
ID.RA-05

Hunting for Startup Folder Persistence

Overview

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.

When to Use

  • When investigating security incidents that require hunting for startup folder persistence
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Python 3.9+ with watchdog, pefile (optional for PE analysis)
  • Access to Windows startup folders (user and all-users)
  • Windows Event Logs for Event ID 4663 correlation (optional)

Steps

  1. Enumerate all files in user and system startup directories
  2. Analyze file types, creation timestamps, and digital signatures
  3. Flag suspicious file extensions (.bat, .vbs, .ps1, .lnk, .exe)
  4. Check for recently created files (< 7 days) as potential implants
  5. Monitor startup folders in real-time using watchdog FileSystemEventHandler
  6. Correlate with known legitimate startup entries
  7. Generate threat hunting report with T1547.001 MITRE mapping

Expected Output

  • JSON report listing all startup folder contents with risk scores, file metadata, and suspicious indicators
  • Real-time monitoring alerts for new file creation in startup directories