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Prompts Windows Startup Folder Persistence Hunter

security analyst security skill risk: medium

Windows Startup Folder Persistence Hunter

The prompt outlines steps to detect T1547.001 startup folder persistence by enumerating files in Windows startup directories, analyzing metadata and signatures, flagging suspicious…

SKILL 4 files · 2 folders

SKILL.md
---
name: hunting-for-startup-folder-persistence
description: "Detect T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation,"
---
# 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

REQUIRED CONTEXT

  • access to Windows startup folders
  • Python 3.9+ with watchdog

OPTIONAL CONTEXT

  • Windows Event Logs for Event ID 4663
  • pefile library for PE analysis

EXPECTED OUTPUT

Format
json
Schema
json · risk scores, file metadata, suspicious indicators, MITRE mapping
Constraints
  • include risk scores and file metadata
  • map to T1547.001 MITRE technique

SUCCESS CRITERIA

  • Enumerate files in startup directories
  • Analyze file types and timestamps
  • Flag suspicious extensions
  • Monitor with watchdog
  • Generate JSON report with T1547.001 mapping

CAVEATS

Dependencies
  • Python 3.9+ with watchdog and pefile
  • Access to Windows startup folders
  • Windows Event Logs for Event ID 4663
Missing context
  • Exact criteria or thresholds for flagging files
  • Sample input data or environment details
Ambiguities
  • 'suspicious file creation' and 'suspicious indicators' are not defined precisely
  • Does not specify desired output length or exact JSON schema

QUALITY

OVERALL
0.55
CLARITY
0.80
SPECIFICITY
0.55
REUSABILITY
0.25
COMPLETENESS
0.60

IMPROVEMENT SUGGESTIONS

  • Add a precise definition or checklist for what constitutes a suspicious file
  • Include an example JSON report structure with required fields

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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