Evidence Pack

Bundle Topic 39 literacy evidence from `$DW_LAB` — Tor, OPSEC, monitoring, leak hunting, legal ethics, TI, reporting; no crime how-tos.

Evidence Pack• Audio Walkthrough

00:00/03:03

Visual · t39_evidence_pack

Evidence pack = mentor handoff from $DW_LAB literacy. Original Cyberlium.

One indexed pack beats scattered dark-web notes — and never includes marketplace guides or unauthorized collection scripts.

Assemble evidence pack: `$DW_LAB` fictional org template inventory, lab setup proof, Tor/OPSEC/hardened OS labs if brief assigned, monitoring lab, leak hunting lab, legal ethics lab, TI handoff lab, reporting lab, integrity statement (YOUR fictional org only, LAB labels mandatory, defender monitoring only, no marketplace buys, no carding, no crime how-tos, no unauthorized collection, educational not legal advice, limitations documented). Directory chmod 600 — index.md lists contents UTC redactions. Mentor copy: report + TI stubs + diagrams, not crime cookbooks. Gap paragraph for Topic 40 Zero Trust Architecture — separate authorized track. Scan folder for marketplace guides, carding references, unauthorized collection scripts — zero tolerance.

1. Pack contents

Minimum: org template inventory, Tor/OPSEC, monitoring, leak hunting, legal ethics, TI, reporting, integrity index.

Optional: module labs per brief — no refused crime how-to files.

Command guide

Try these commands — Pack contents

═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)

Tor Project — https://www.torproject.org/ OASIS STIX — https://oasis-open.github.io/cti-documentation/ CISA — https://www.cisa.gov/

═══ 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 DW_LAB=${DW_LAB:-$HOME/cyberlium-lab/t39-dw}
python3 - <<'PY'
import os
lab = os.environ.get('DW_LAB', os.path.expanduser('~/cyberlium-lab/t39-dw'))
path = os.path.join(lab, 'notes', 'capstone-evidence-index.txt')
open(path, 'w').write('
'.join([
  'CAPSTONE EVIDENCE INDEX — YOUR t39-dw lab only',
  'Ethics: roe.txt, no-marketplace-access.txt',
  'Tor: tor-named + onion-services + browser-hygiene packs',
  'OPSEC: opsec-named + identity-compartment + metadata-hygiene',
  'Hardened: tails + whonix + vm-isolation packs',
  'Monitoring: dark-web + brand + vendor hygiene (FAKE/LAB alerts)',
  'Leaks: authorized sources + credential stuffing + breach notify',
  'Legal: boundaries + LE handoff + authorized collection',
  'TI: stix-ioc-handoff-stub.json + sharing-boundaries (TLP)',
  'Reporting: exec-brief + incident template + lessons learned',
  'Label: LAB-SAMPLE on all artifacts — NOT production monitoring claims',
  'Refusals: no marketplace buys / carding / crime how-tos',
]))
print(f'Wrote {path}')
PY

Command — copy this

grep -E 'LAB-SAMPLE|Refusals|stix-ioc' "$DW_LAB/notes/capstone-evidence-index.txt"

Primary tools to practice this lesson: grep, python3. Reference sites: Tor Project (https://www.torproject.org/); OASIS STIX (https://oasis-open.github.io/cti-documentation/); CISA (https://www.cisa.gov/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.