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Mod 10 · Les 1/5
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Module 10•Lesson 1 of 5•⏱️ 15 min read•Beginner+39 XP

Checklist

Topic 26 capstone checklist — DFIR mindset, acquisition, analysis, timeline, reporting on $DFIR_LAB.

Checklist
00:00/02:45

Visual · t26_capstone_checklist

Checklist consolidates DFIR literacy pillars. $DFIR_LAB only. Original Cyberlium.

Capstone proves DFIR literacy on YOUR authorized practice evidence — not a portfolio of stranger device dumps.

Assemble checklist covering Modules 1–9: DFIR mindset and CoC, evidence types, acquisition and hashing, disk/filesystem, memory, net/logs, timeline/correlation, reporting/legal, case practice. Use on capstone walk of YOUR $DFIR_LAB — never unauthorized acquisitions, planted evidence, or forged logs. Each row links artifact or honest N/A. Notes chmod 600 under $HOME/cyberlium-lab. Integrity rows: $DFIR_LAB only, legal authority stated, hashes verified, limitations documented, no tampering.

1. Scope and ethics

$DFIR_LAB named with authority reference. NEVER unauthorized device access, NEVER plant/tamper, NEVER forged logs.

Practice label when brief requires — honesty in capstone.

Command guide

Try these commands — Scope and ethics

═══ LINUX / macOS (Malware Static & Dynamic Triage) ═══

Inspect PE / ELF binary headers and sections

Command — copy this

readelf -h sample.bin 2>/dev/null || xxd -g 1 -l 32 sample.bin

Check binary entropy (high entropy often signals packed or encrypted payloads)

Command — copy this

python3 -c "
import math, sys
data = open('sample.bin', 'rb').read() if len(sys.argv) > 1 else b'MZX\x00\x90'
ent = -sum((data.count(bytes([b]))/len(data))*math.log2(data.count(bytes([b]))/len(data)) for b in set(data))
print(f'Calculated File Entropy: {ent:.4f} (Entropy > 7.0 suggests packed/encrypted)')
" sample.bin 2>/dev/null

Primary tools to practice this lesson: grep, python3. Reference sites: Capstone checklist (https://www.sans.org/cyber-security-skills/digital-forensics/); NIST CFReDS (https://www.nist.gov/itl/ssd/software-quality-group/computer-forensics-reference-data-sets-cfreds); RFC 3227 (https://www.rfc-editor.org/rfc/rfc3227); CISA IR (https://www.cisa.gov/topics/cybersecurity-best-practices/incident-response). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.

2. Literacy pillars

CoC, types, acquisition, disk, memory, net/logs, timeline, report, case — linked rows.

Cross-link Topic 25 AD literacy only as separate track — do not mix unauthorized AD dumps into DFIR pack.

3. Teardown

Notes secured chmod 600, report pack ready, lab snapshot revert optional per brief.

Archive retention note for mentor handoff.

4. What you ship: Topic 26 capstone checklist

One-page DFIR literacy capstone checklist for $DFIR_LAB.

5. What you record before the next lesson

Checklist file path.

6. Wrong vs right: tampering evidence vs chain of custody

Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.

  • Wrong: Checklist includes row 'image roommate phone for bonus.'
  • Right: Checklist written. Next: Lab Path.
Hands-on Exercise

Mission: write capstone checklist

1) Ethics/scope section. 2) Modules 1–9 pillar rows. 3) Teardown and handoff section.

Pro Tip

Stuck? Ask Cyberlium AI Mentor

Ask Mentor: “Top five capstone artifacts?”

Practice QuizQuestion 1
Multiple choice
Q1

APPLY: Checklist includes:

Practice QuizQuestion 2
True or False
Q2

APPLY: True or False: Stranger device imaging required for capstone.

Practice QuizQuestion 3
Multiple choice
Q3

APPLY: Teardown includes:

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