Digital › Module 9 › Lesson 4
Lab — Case
Full case lab on $DFIR_LAB — dataset inventory, workflow walk, report from timeline, pitfalls review.
Visual · t26_case_lab
Lab: end-to-end case on YOUR $DFIR_LAB practice dataset. Original Cyberlium.
Opening
Run one practice case intake to handoff — every station documented, every exhibit hashed, every pitfall checked.
On YOUR $DFIR_LAB authorized practice dataset: (1) dataset inventory card with verified hash; (2) workflow diagram with UTC milestones filled; (3) analysis summary linking Modules 4–7 artifacts; (4) Module 8 report lab pack updated or merged; (5) pitfalls checklist with five near-miss fixes; (6) handoff index chmod 600; (7) integrity — no unauthorized sources, no tampering, practice label if brief requires. Minimum one net/logs correlation and one timeline hypothesis with falsification. Revert mounts and snapshot after if brief requires.
1. End-to-end deliverables
Inventory + workflow + report + pitfalls + index — single case ID.
Cross-link all exhibit IDs across modules.
Command guide
Try these commands — End-to-end deliverables
═══ 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/nullPrimary tools to practice this lesson: curl, grep. Reference sites: Autopsy + CFReDS (https://www.autopsy.com/); Volatility samples (https://www.volatilityfoundation.org/); SANS FOR (https://www.sans.org/cyber-security-skills/digital-forensics/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Quality bar
No station skipped on paper — honest N/A if brief omitted memory branch.
Peer self-review: five pitfalls scanned before seal.
3. Integrity
$DFIR_LAB only; refused sources scan zero hits.
Share-safe export redacts PII — mentor pack complete.
4. What you ship: case lab pack
Full case intake-to-handoff + report + pitfalls — chmod 600.
5. What you record before the next lesson
Case lab pack 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
Case lab built on leaked enterprise disk without authorization.
Right
Case lab pack on $DFIR_LAB practice dataset. Next: quiz.
Mission: case lab
1) Dataset inventory verified. 2) Workflow milestones UTC. 3) Report pack merged. 4) Pitfalls checklist; chmod 600 index.
Stuck? Ask Cyberlium AI Mentor
Ask Mentor: “Honest N/A for memory branch?”
Knowledge Check
APPLY: Case lab requires:
Multiple choice
Knowledge Check
APPLY: True or False: Unauthorized sources OK if interesting.
True or False
Knowledge Check
APPLY: Handoff index lists:
Multiple choice