XUTS LABS
Operator Flow
⌕ENUM◉WEB▰SQL⊞WIN◆LINUX♜AD⇄PIVOTING◇REPORTING⌬OT / ICS
React Flow
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AD Methodology

addomainstart

Purpose

Start from domain context and map users, groups, computers, sessions, shares, ACLs, SPNs, trusts, and paths to administrative control.

Why It Matters

AD is graph-driven. The goal is to identify the next edge and prove impact, not randomly run tools.

If You See This

  • •Domain creds available.
  • •DC reachable.
  • •LDAP/Kerberos accessible.
  • •Need path to higher privilege.

Commands

Validate domain creds
nxc smb DC_IP -u USER -p PASS -d DOMAIN
nxc ldap DC_IP -u USER -p PASS -d DOMAIN

Confirms credentials against SMB and LDAP.

BloodHound Python
bloodhound-python -u USER -p PASS -d DOMAIN -ns DC_IP -c All --zip

Collects AD graph data from Linux.

Rabbit Holes

  • •Bad DNS setup.
  • •Time skew.
  • •Reading BloodHound edge direction wrong.
  • •Looking only for DA shortest path.

Evidence to Capture

  • •Valid creds
  • •Domain
  • •DC
  • •BloodHound zip
  • •Attack path