Incident › Module 2 › Lesson 4
Lab — Planning
Pack policy procedures, severity matrix, and roles RACI cards — planning file from $IR_LAB only.
Visual · t34_planning_lab
Lab: IR planning pack. $IR_LAB only. Original Cyberlium.
Opening
Planning pack merges policy to severity to RACI — paperwork before team and playbooks module.
Lessons 2-1–2-3 named policy procedures, severity matrix, and roles RACI. This lab merges three cards into one $IR_LAB planning artifact with M1 ethics cross-reference. No stranger-network or ransomware payload work — IR planning paperwork only. Next: Quiz — IR Planning.
1. Lab contract: IR planning pack
Create $HOME/cyberlium-lab/t34-m02-l04-planning-lab.txt merging policy procedures, severity matrix, and roles RACI sections with $IR_LAB fictional tabletop inject and M1 ethics cross-reference.
Optional: one-line note which fictional org name you used — lab labels only.
Command guide
Try these commands — Lab contract: IR planning pack
═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)
NIST SP 800-61 — https://csrc.nist.gov/publications/detail/sp/800-61/rev-2/final ISO/IEC 27035 — https://www.iso.org/standard/78973.html CISA — https://www.cisa.gov/stopransomware
═══ INSTALL ═══
Linux (Debian/Ubuntu):
Command — copy this
sudo apt install python3
macOS:
Command — copy this
brew install python3
Windows: Download https://python.org/downloads/
═══ LINUX / macOS ═══
Command — copy this
export IR_LAB=${IR_LAB:-$HOME/cyberlium-lab/t34-ir}
cat > "$IR_LAB/planning/picerl-checklist.md" <<'EOF'
# PICERL Checklist — NIST SP 800-61 literacy
- [ ] **P**reparation: policy, severity matrix, RACI, playbooks, contacts
- [ ] **I**dentification: detection sources, intake form, initial classification
- [ ] **C**ontainment: short-term vs long-term options documented
- [ ] **E**radication: root cause removal plan (authorized systems only)
- [ ] **R**ecovery: restore from clean backups; validation checks
- [ ] **L**essons Learned: PIR, detection gaps, playbook updates
Tabletop only — document decisions, do not isolate stranger hosts
EOFCommand — copy this
grep '\[ \]' "$IR_LAB/planning/picerl-checklist.md"
grep -E 'ir-policy|severity-matrix|raci' "$IR_LAB/planning/ir-policy-stub.md" "$IR_LAB/planning/severity-matrix.md" "$IR_LAB/planning/raci-matrix.md"
python3 -c "print('Planning lab: policy + severity + RACI + PICERL checklist complete')"═══ WINDOWS ═══
Command — copy this
Get-Content $HOME/cyberlium-lab/t34-ir/planning/picerl-checklist.md | Select-String Preparation
Primary tools to practice this lesson: grep, python3. Reference sites: NIST SP 800-61 (https://csrc.nist.gov/publications/detail/sp/800-61/rev-2/final); ISO/IEC 27035 (https://www.iso.org/standard/78973.html); CISA (https://www.cisa.gov/stopransomware). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Cross-check refusal boundaries
Grep pack for stranger-network refs, ransomware payload links, live victim policy dumps — redact or delete. Pack stays documentary literacy.
Update pack if you rename lab org — note new fictional label.
3. Lock the proof
chmod 600 on the pack. Quiz next — then IR Team.
IR planning literacy feeds team and playbook lessons in M3.
4. What you ship: IR planning pack for $IR_LAB
Merged policy, severity, RACI sections. $IR_LAB named. NO stranger IR. chmod 600.
5. What you record before the next lesson
Date. Planning pack path. $IR_LAB named. File t34-m02-l04-planning-lab.txt chmod 600.
6. Wrong vs right: stranger networks vs YOUR IR tabletop
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Include live victim IR policy in pack. Skip severity section.
Right
Write YOUR IR planning pack for $IR_LAB. chmod 600. Next: Quiz — IR Planning.
Mission: freeze YOUR IR planning pack
1) Merge M2 literacy sections. 2) Confirm zero stranger-network or payload refs. 3) Link M1 ethics cross-ref. 4) chmod 600.
Stuck? Ask Cyberlium AI Mentor
One governed planning pack beats ten unauthorized incident screenshots.
Knowledge Check
APPLY: This lab requires:
Multiple choice
Knowledge Check
APPLY: True or False: Planning pack should reference $IR_LAB fictional tabletop injects.
True or False
Knowledge Check
APPLY: Planning pack should include:
Multiple choice