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Windows Prefetch Analysis

ASecurity

Analyze Windows prefetch files (.pf) to determine evidence of program execution. This skill details how to extract execution times, run counts, and the paths of files accessed by a program, which is critical for incident response and malware timeline reconstruction.

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  • Added September 12, 2026
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  • cli

Security analysis

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Scanned September 12, 2026

npx -y skills add ShulkwiSEC/bb-huge --skill windows-prefetch-analysis --agent claude-code

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SKILL.md
---
name: windows-prefetch-analysis
description: >
  Analyze Windows prefetch files (.pf) to determine evidence of program execution. This skill 
  details how to extract execution times, run counts, and the paths of files accessed 
  by a program, which is critical for incident response and malware timeline reconstruction.
domain: cybersecurity
subdomain: incident-response
category: Forensics
difficulty: intermediate
estimated_time: "1-2 hours"
mitre_attack:
  tactics: [TA0002, TA0003]
  techniques: [T1204]
platforms: [windows]
tags: [forensics, dfir, prefetch, incident-response, program-execution, evidence]
tools: [PECmd, wmic, powershell]
version: "1.0"
author: CyberSkills-Elite
license: Apache-2.0
---

# Windows Prefetch Analysis

## When to Use
- When investigating a compromised Windows system to answer the question: "Did the attacker actually run this tool/malware?"
- To build a timeline of threat actor activities by examining execution timestamps and accessed files.
- When an attacker has deleted their malware, but the prefetch file remains as evidence.


## Prerequisites
- Forensic image or live access to the affected system(s)
- Forensic workstation with analysis tools (Autopsy, Volatility, Timeline Explorer)
- Chain of custody documentation initiated for evidence handling
- Write-blocker for disk forensics or memory acquisition tool (e.g., DumpIt, WinPmem)

## Workflow

### Phase 1: Locating and Understanding Prefetch Files

Prefetch files are typically located at `C:\Windows\Prefetch`. 
They are named ending with `.pf` (e.g., `CMD.EXE-4A81B364.pf`).

*Note: Prefetch is enabled by default on Windows Client OS architectures but may be disabled on Windows Servers.*

### Phase 2: Offline Analysis with PECmd (Eric Zimmerman's Tools)

```cmd
# Concept: Parse a single prefetch file PECmd.exe -f "C:\Windows\Prefetch\MIMIKATZ.EXE-53D22409.pf"

# PECmd.exe -d "C:\Windows\Prefetch\" -q --csv "C:\Forensics\Output" --csvf "prefetch_timeline.csv"
```

### Phase 3: Interpreting the Output

When examining the parsed output, focus on:
- **Run Count**: How many times was the binary executed?
- **Execution Times**: Up to 8 previous execution timestamps (depending on OS version). Last execution time is crucial for timeline building.
- **Files/Directories Accessed**: The directories and files the program loaded (e.g., DLLs, configuration files, text files the attacker interacted with).

### Phase 4: Basic Live System Check (Powershell)

```powershell
# Get-ChildItem -Path "C:\Windows\Prefetch" | Where-Object { $_.Name -match "MIMIKATZ|PSEXEC|NC.EXE" } | Select-Object Name, LastWriteTime
```

#### Decision Point πŸ”€
```mermaid
flowchart TD
    A[Locate Prefetch Folder ] --> B{Prefetch Enabled? ]}
    B -->|Yes| C[Extract .pf Files ]
    B -->|No| D[Check ShimCache/Amcache ]
    C --> E[Parse with PECmd ]
```

## πŸ”΅ Blue Team Detection & Defense
- **Monitor Deletion of Prefetch Files**: **Centralized Forensics Collection**: **Threat Hunting via File Paths**: Key Concepts
| Concept | Description |
|---------|-------------|
## Output Format
```
Windows Prefetch Analysis β€” Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]

Findings Summary:
  [Finding 1]: [Severity] β€” [Brief description]
  [Finding 2]: [Severity] β€” [Brief description]

Detailed Results:
  Phase 1: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

  Phase 2: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
  1. [Immediate remediation step]
  2. [Long-term hardening measure]
  3. [Monitoring/detection improvement]
```


## πŸ“š Shared Resources
> For cross-cutting methodology applicable to all vulnerability classes, see:
> - [`_shared/references/elite-chaining-strategy.md`](../_shared/references/elite-chaining-strategy.md) β€” Exploit chaining methodology and high-payout chain patterns
> - [`_shared/references/elite-report-writing.md`](../_shared/references/elite-report-writing.md) β€” HackerOne-optimized report writing, CWE quick reference
> - [`_shared/references/real-world-bounties.md`](../_shared/references/real-world-bounties.md) β€” Verified disclosed bounties by vulnerability class

## References
- SANS InfoSec Reading Room: [Prefetch Forensics](https://www.sans.org/white-papers/36972/)
- Eric Zimmerman Tools: [PECmd](https://ericzimmerman.github.io/#!index.md)

Files in this skill

  • SKILL.md4.6 KB
  • evals/evals.json536 B
  • scripts/process.py7.8 KB

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