aeondave/mftecmd
offensive-tools/forensic/mftecmd/SKILL.md
Auth/lab ref: NTFS metadata triage with MFTECmd for $MFT/$J/$I30/$Boot artifacts.
$ install --global
skillsauthnpx skillsauth add aeondave/malskill mftecmdInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 8, 2026, 3:49 AM245.8s1 file scanned
SKILL.md
- name:
- mftecmd
- description:
- Auth/lab ref: NTFS metadata triage with MFTECmd for $MFT/$J/$I30/$Boot artifacts.
- license:
- Apache-2.0
- compatibility:
- Windows primary (.NET); output consumable cross-platform.
- author:
- AeonDave
- version:
- 1.1
MFTECmd
Structured extraction and timeline analysis of NTFS metadata artifacts.
When to use
- You received an
$MFT(or NTFS metadata set) and need forensic timeline answers. - You must identify deleted, hidden, copied, or modified files quickly.
- You need reproducible metadata export for filtering in Timeline Explorer/CSV tools.
Core workflow
- Parse artifact into structured output (CSV/JSON).
- Normalize timezone assumptions before interpretation.
- Filter for key flags and record metadata:
- in-use vs deleted
- hidden/system flags
- copied/renamed indicators
- entry/record number pivots
- Compare creation vs modification times for suspicious edits.
- Build concise chronology and annotate confidence.
Analyst pivots
- By
EntryNumberfor objective-driven tasks. - By filename/extension for target-object hunts.
- By timestamp deltas for post-creation tampering.
- By flags for hidden/deleted artifacts.
Practical tips
- Export first, investigate second: deterministic outputs reduce mistakes.
- Treat timestamp precision consistently (same timezone/display granularity).
- Keep system files excluded only when case requirements explicitly request it.
- Cross-check critical findings with other artifacts when available (logs, prefetch, registry).
Common pitfalls
- Confusing renamed/copied artifacts with newly created originals.
- Treating a single timestamp in isolation as full chronology.
- Ignoring metadata context (directory entries, flags, and record linkage).
Output expectations
- Artifact summary (years/periods of activity, notable paths).
- Findings table with record IDs, filename, key timestamps, relevant flags.
- Timeline segment of suspicious or investigation-relevant file operations.
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