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Parsing Artifacts with Eric Zimmerman Tools

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Efficiently parse Windows forensic artifacts for analysis.

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What Parsing Artifacts with Eric Zimmerman Tools does

Parsing Artifacts with Eric Zimmerman Tools is a specialized skill designed for digital forensic analysts and incident responders. It leverages Eric Zimmerman's suite of open-source tools to parse critical Windows forensic artifacts such as the Master File Table (MFT), Prefetch files, registry hives, ShellBags, and Amcache. The output is structured in normalized CSV or JSON formats, making it easy to analyze and visualize in forensic tools like Timeline Explorer. This skill is particularly useful in DFIR (Digital Forensics and Incident Response) scenarios, where establishing the timeline of events is crucial.

The skill is built around several key parsing tools: MFTECmd for MFT and USN Journal parsing, PECmd for Prefetch analysis, and RECmd for registry hive examination. Each tool is tailored to extract specific types of data, ensuring that analysts can gather comprehensive evidence about program execution, file access, and persistence mechanisms. By using these parsers, users can quickly convert raw forensic data into a structured format that supports detailed investigation and reporting.

This skill is particularly beneficial after triage collection, such as when using KAPE (Kroll Artifact Parser and Extractor), allowing users to efficiently parse raw artifacts into searchable evidence. It is designed to integrate seamlessly into existing workflows, enabling analysts to build timelines, conduct thorough investigations, and correlate data across different artifact types. The output can be directly loaded into Timeline Explorer, facilitating further analysis and visualization of the data.

Overall, Parsing Artifacts with Eric Zimmerman Tools is an essential skill for professionals involved in digital forensics, providing the necessary tools to handle and analyze Windows forensic artifacts effectively.

When to use it

Use this skill during digital forensic investigations after collecting raw artifacts to establish evidence of program execution and file access.

When not to use it

This skill is not suitable for environments where forensic evidence cannot be handled or where the necessary tools are not available.

What you can build with it

Post-Triage Analysis

After collecting forensic images with KAPE, use this skill to parse and analyze artifacts for evidence.

Establishing Execution Evidence

Utilize the parsers to gather data on program execution and file access during incident response investigations.

Building Timelines for Investigations

Load parsed data into Timeline Explorer to create comprehensive timelines that correlate events across multiple artifacts.

How to install Parsing Artifacts with Eric Zimmerman Tools

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1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/parsing-artifacts-with-eric-zimmerman-tools --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mukul975

Parsing Artifacts with Eric Zimmerman Tools

Authorized Use Only: These tools parse evidence acquired from systems. Only analyze data you are authorized to handle, maintain chain of custody, and work from forensic copies rather than originals.

Overview

Eric Zimmerman's Tools (EZ Tools) are a free, open-source suite of high-fidelity Windows forensic parsers, each focused on a specific artifact class and each producing analyst-ready CSV/JSON output. They are the de facto standard for Windows artifact analysis and are what KAPE's !EZParser module invokes under the hood. Key tools include:

  • MFTECmd — parses $MFT, $J ($UsnJrnl), $Boot, $SDS, and $LogFile from NTFS volumes.
  • PECmd — parses Windows Prefetch (.pf) for evidence of program execution.
  • RECmd — registry hive parser/searcher driven by batch plugins (RECmd Batch files).
  • SBECmd — parses ShellBags (folder access history) from UsrClass.dat/NTUSER.DAT.
  • AmcacheParser — parses Amcache.hve for application execution and metadata.
  • AppCompatCacheParser — parses ShimCache (AppCompatCache) from SYSTEM hive.
  • LECmd — parses LNK shortcut files. JLECmd — parses Jump Lists. EvtxECmd — parses EVTX event logs to a normalized schema.

Output is designed to load into Timeline Explorer (also by Eric Zimmerman), a fast CSV/Excel viewer purpose-built for filtering, tagging, and pivoting across forensic CSVs. The 2025+ releases run on .NET and also work natively on Linux.

When to Use

  • After triage collection (e.g. with KAPE) when you need to parse raw artifacts into structured, searchable evidence.
  • To establish program execution, file/folder access, and persistence during incident response.
  • To build artifact-specific CSVs that feed timelines, Timesketch, or SIEM ingestion.

Prerequisites

Objectives

  • Parse the MFT, prefetch, shellbags, registry, and amcache from a collection.
  • Produce normalized CSV/JSON per artifact.
  • Load results into Timeline Explorer for analysis.
  • Establish execution and access evidence supporting the investigation.

MITRE ATT&CK Mapping

IDOfficial Technique NameRelevance to this skill
T1112Modify RegistryRECmd, AmcacheParser, and AppCompatCacheParser parse registry-resident artifacts; analysts use them to detect adversary registry modification (persistence, defense evasion) recorded in hives.

These are defensive parsers; the mapping reflects the artifact (registry) most relevant to the adversary behavior they help uncover.

Workflow

1. Download/update the tools

Keep parsers current so they handle the latest artifact formats.

.\Get-ZimmermanTools.ps1 -Dest C:\Tools\EZ

2. Parse the MFT for file-system activity

-f points at a single $MFT; --csv sets the output directory and --csvf the filename. Add --csvf for $J/UsnJrnl with -f $J.

MFTECmd.exe -f "E:\collection\C\$MFT" --csv "E:\out\mft" --csvf MFT.csv

REM Parse the USN Journal change log
MFTECmd.exe -f "E:\collection\C\$Extend\$J" --csv "E:\out\mft" --csvf UsnJrnl.csv

3. Parse Prefetch for execution evidence

-d recurses a directory of .pf files. Output CSV + JSON.

PECmd.exe -d "E:\collection\C\Windows\Prefetch" --csv "E:\out\prefetch" --csvf Prefetch.csv --json "E:\out\prefetch\json"

4. Parse ShellBags for folder-access history

-d points at the directory containing the user's UsrClass.dat/NTUSER.DAT (or -f a single hive).

SBECmd.exe -d "E:\collection\C\Users\jsmith" --csv "E:\out\shellbags"

5. Parse the registry with RECmd batch plugins

RECmd is driven by batch files (--bn) that bundle plugins; the Kroll_Batch file is comprehensive. -d recurses a directory of hives.

RECmd.exe -d "E:\collection\C\Windows\System32\config" --bn "C:\Tools\EZ\RECmd\BatchExamples\Kroll_Batch.reb" --csv "E:\out\registry" --csvf Registry.csv

REM Search a single hive for a value/key
RECmd.exe -f "E:\collection\C\Users\jsmith\NTUSER.DAT" --sk "Run" --csv "E:\out\registry"

6. Parse Amcache and ShimCache

AmcacheParser.exe -f "E:\collection\C\Windows\AppCompat\Programs\Amcache.hve" --csv "E:\out\amcache" -i

AppCompatCacheParser.exe -f "E:\collection\C\Windows\System32\config\SYSTEM" --csv "E:\out\shimcache"

7. Parse LNK, Jump Lists, and EVTX

LECmd.exe -d "E:\collection\C\Users\jsmith\AppData\Roaming\Microsoft\Windows\Recent" --csv "E:\out\lnk"

JLECmd.exe -d "E:\collection\C\Users\jsmith\AppData\Roaming\Microsoft\Windows\Recent\AutomaticDestinations" --csv "E:\out\jumplists"

EvtxECmd.exe -d "E:\collection\C\Windows\System32\winevt\Logs" --csv "E:\out\evtx" --csvf EventLogs.csv

8. Analyze in Timeline Explorer

Open the resulting CSVs in Timeline Explorer (TimelineExplorer.exe). Use column filters, conditional formatting, and tagging to pivot on time, file path, and user. CSVs from all EZ Tools share consistent timestamp columns for cross-artifact correlation.

9. Cross-correlate

Build a working theory by correlating PECmd (execution time) with MFTECmd (file creation), Amcache/ShimCache (program presence), and ShellBags/LNK (access), all anchored on UTC timestamps.

Tools and Resources

ToolArtifact parsedLink
MFTECmd$MFT, $J, $Boot, $SDS, $LogFilehttps://github.com/EricZimmerman/MFTECmd
PECmdPrefetchhttps://github.com/EricZimmerman/PECmd
RECmdRegistry hiveshttps://github.com/EricZimmerman/RECmd
SBECmdShellBagshttps://github.com/EricZimmerman/Shellbags
AmcacheParserAmcache.hvehttps://github.com/EricZimmerman/AmcacheParser
AppCompatCacheParserShimCachehttps://github.com/EricZimmerman/AppCompatCacheParser
LECmd / JLECmdLNK / Jump Listshttps://ericzimmerman.github.io/
EvtxECmdEVTX event logshttps://github.com/EricZimmerman/evtx
Timeline ExplorerCSV analysis viewerhttps://ericzimmerman.github.io/
Get-ZimmermanToolsDownloader/updaterhttps://github.com/EricZimmerman/Get-ZimmermanTools

Common Flags

FlagMeaning
-f <file>Parse a single file
-d <dir>Recurse a directory
--csv <dir>CSV output directory
--csvf <name>CSV output filename
--json <dir>JSON output directory
--bn <file>RECmd batch (.reb) file
-iAmcacheParser: include file entries (unassociated)

Validation Criteria

  • EZ Tools downloaded/updated via Get-ZimmermanTools
  • $MFT (and $J) parsed to CSV
  • Prefetch parsed for execution evidence
  • ShellBags parsed for folder-access history
  • Registry parsed with Kroll_Batch (RECmd)
  • Amcache and ShimCache parsed
  • LNK/Jump Lists/EVTX parsed as needed
  • Output loaded and reviewed in Timeline Explorer
  • Cross-artifact correlation performed on UTC timestamps

Frequently asked questions about Parsing Artifacts with Eric Zimmerman Tools

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