external/anthropic-cybersecurity-skills/skills/parsing-artifacts-with-eric-zimmerman-tools/SKILL.md
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
npx skillsauth add seikaikyo/dash-skills parsing-artifacts-with-eric-zimmerman-toolsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
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:
$MFT, $J ($UsnJrnl), $Boot, $SDS, and $LogFile from NTFS volumes..pf) for evidence of program execution.UsrClass.dat/NTUSER.DAT.Amcache.hve for application execution and metadata.SYSTEM hive.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.
# Download/update all .NET 6 tools into C:\Tools\EZ
.\Get-ZimmermanTools.ps1 -Dest C:\Tools\EZ
Source: https://ericzimmerman.github.io/ and https://github.com/EricZimmerman/Get-ZimmermanTools| ID | Official Technique Name | Relevance to this skill | |----|------------------------|--------------------------| | T1112 | Modify Registry | RECmd, 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.
Keep parsers current so they handle the latest artifact formats.
.\Get-ZimmermanTools.ps1 -Dest C:\Tools\EZ
-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
-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"
-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"
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"
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"
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
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.
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.
| Tool | Artifact parsed | Link | |------|-----------------|------| | MFTECmd | $MFT, $J, $Boot, $SDS, $LogFile | https://github.com/EricZimmerman/MFTECmd | | PECmd | Prefetch | https://github.com/EricZimmerman/PECmd | | RECmd | Registry hives | https://github.com/EricZimmerman/RECmd | | SBECmd | ShellBags | https://github.com/EricZimmerman/Shellbags | | AmcacheParser | Amcache.hve | https://github.com/EricZimmerman/AmcacheParser | | AppCompatCacheParser | ShimCache | https://github.com/EricZimmerman/AppCompatCacheParser | | LECmd / JLECmd | LNK / Jump Lists | https://ericzimmerman.github.io/ | | EvtxECmd | EVTX event logs | https://github.com/EricZimmerman/evtx | | Timeline Explorer | CSV analysis viewer | https://ericzimmerman.github.io/ | | Get-ZimmermanTools | Downloader/updater | https://github.com/EricZimmerman/Get-ZimmermanTools |
| Flag | Meaning |
|------|---------|
| -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 |
| -i | AmcacheParser: include file entries (unassociated) |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.
tools
Stand up a Sliver C2 server and mTLS listeners, generate cross-platform implants and beacons, and run post-exploitation, pivoting, and BOF/.NET tooling via the Armory for adversary emulation. Use during authorized, rules-of-engagement-bound red-team engagements that need a full open-source C2 lifecycle spanning server setup, implant generation, and post-exploitation tradecraft.