Dark › Module 3 › Lesson 4
Lab — OPSEC
Pack OPSEC named, identity compartment, and metadata hygiene rows — OPSEC file from $DW_LAB only.
Visual · t39_opsec_lab
Lab: OPSEC pack. $DW_LAB only. Original Cyberlium.
Opening
OPSEC pack merges threat model to compartment to metadata — paperwork before hardened OS module.
Lessons 3-1–3-3 named OPSEC, identity compartment, and metadata hygiene. This lab merges three sections into one $DW_LAB OPSEC artifact with M1 ethics cross-reference. No criminal target profiling, doxxing, or real victim PII — OPSEC literacy paperwork on fictional scenarios only. Next: Quiz — OPSEC Fundamentals.
1. Lab contract: OPSEC pack
Create $HOME/cyberlium-lab/t39-m03-l04-opsec-lab.txt merging OPSEC named, identity compartment, and metadata hygiene sections with $DW_LAB path and M1/M2 cross-references.
Optional: link compartment row to Tor literacy from M2.
Command guide
Try these commands — Lab contract: OPSEC pack
═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)
EFF SSD — https://ssd.eff.org/ Tor Project — https://www.torproject.org/ CISA — https://www.cisa.gov/
═══ INSTALL ═══
Linux (Debian/Ubuntu):
macOS:
Windows:
═══ LINUX / macOS ═══
Command — copy this
export DW_LAB=${DW_LAB:-$HOME/cyberlium-lab/t39-dw}
cat > "$DW_OPSEC/opsec-lab-pack.md" <<'EOF'
# OPSEC Lab Pack — YOUR lab
- opsec-named-literacy.txt: threat model + metadata rows
- identity-compartment-card.txt: work vs lab persona boundaries
- metadata-hygiene.txt: EXIF, DNS, timing literacy
## Refusals
- No criminal target profiling; no doxxing; no real victim PII
EOFCommand — copy this
grep -E 'Refusals|persona|doxxing' "$DW_OPSEC/opsec-lab-pack.md" grep -E 'Threat model|compartment|EXIF' "$DW_OPSEC/opsec-named-literacy.txt" "$DW_OPSEC/identity-compartment-card.txt" "$DW_OPSEC/metadata-hygiene.txt"
Primary tools to practice this lesson: grep. Reference sites: EFF SSD (https://ssd.eff.org/); Tor Project (https://www.torproject.org/); CISA (https://www.cisa.gov/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Cross-check ethics
Grep for doxxing, target profiling, real victim PII, carding refs — remove. Confirm all scenarios use $DW_LAB fictional labels.
Add refused blend rule between work and criminal personas in pack header.
3. Lock the proof
chmod 600 on the pack. Quiz next — then Tails Named.
OPSEC literacy feeds hardened OS lessons in M4.
4. What you ship: OPSEC literacy pack for $DW_LAB
Merged OPSEC, compartment, metadata sections. $DW_LAB named. NO doxxing or real PII. chmod 600.
5. What you record before the next lesson
Date. OPSEC pack. $DW_LAB named. File t39-m03-l04-opsec-lab.txt chmod 600.
6. Wrong vs right: criminal markets vs YOUR OPSEC lab
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Add real target profiling section to approved pack. Store employer credentials in compartment row.
Right
Write YOUR OPSEC literacy pack for $DW_LAB. chmod 600. Next: Quiz — OPSEC Fundamentals.
Mission: freeze YOUR OPSEC pack on disk
1) Merge OPSEC named, compartment, metadata sections. 2) Cross-reference M1 ethics card. 3) chmod 600. Never list doxxing or target profiling as approved practice.
Stuck? Ask Cyberlium AI Mentor
OPSEC packs use fictional personas — not real people or victim data.
Knowledge Check
APPLY: This lab requires:
Multiple choice
Knowledge Check
APPLY: True or False: OPSEC pack should refuse blending work credentials with criminal persona research.
True or False
Knowledge Check
APPLY: Pack contains doxxing steps. You:
Multiple choice