Individual skill
analyzing-windows-prefetch-with-python
Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns.
internal/tools/skills/data/digital-forensics/analyzing-windows-prefetch-with-python/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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Repository context
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- 1,319
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- digital-forensics Declared skill tag
- windows Declared skill tag
- prefetch Declared skill tag
- execution-history Declared skill tag
- incident-response Declared skill tag
- malware-analysis Declared skill tag
- engineering Derived category
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# Analyzing Windows Prefetch with Python
## Overview
Windows Prefetch files (.pf) record application execution data including executable names, run counts, timestamps, loaded DLLs, and accessed directories. This skill covers parsing Prefetch files using the windowsprefetch Python library to reconstruct execution timelines, detect renamed or masquerading binaries by comparing executable names with loaded resources, and identifying suspicious programs that may indicate malware execution or lateral movement.
## When to Use
- When investigating security incidents that require analyzing windows prefetch with python
- 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
## Detection Gaps & Validation