AD Pentest Methodology: Phase Order

SkillAI & models

The order of operations for an Active Directory penetration test: setup, collection, exploitation, post-processing. Use this whenever you are planning or driving an AD assessment and need to know what to run before what and why (map before you exploit; harvest easy credentials before spraying to avoid lockouts; collect the graph before you reason about paths). Covers phase sequencing with standard tooling: netexec/nxc, impacket, certipy, bloodyAD, kerbrute, BloodHound CE. Invoke it at the start of an engagement, when deciding the next phase, or when a step feels out of order.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the AD Pentest Methodology: Phase Order skill

What this skill tells your AI

The instructions your AI receives, as published by adscanpro/claude-ad in skills/ad-methodology/SKILL.md and read by ahel’s review.

A domain assessment is not a bag of tricks you run in random order. The order is the craft. Enumeration feeds exploitation; a credential harvested cheaply saves you a spray that locks accounts; a graph collected once tells you which of a hundred possible attacks actually reaches Domain Admin. Run the phases in order and each one narrows the next.

Four phases, in sequence:

  1. Setup: reachability, name resolution, environment posture, first credentials.
  2. Collection: topology, trusts, directory objects, hosts, shares. Read, do not touch.
  3. Exploitation: attack-path discovery, then cheap wins, then spraying, then hunting.
  4. Post-processing: consolidate loot, re-collect as the owned set grows, report.

The rest of this skill is what happens inside each phase and why that order holds.


Phase 1: Setup

You cannot attack a DC you cannot reach, resolve, or authenticate against. Get these four things straight before anything else.

1.1 Reachability and DNS

The DC is the DNS server for the domain. If your resolver does not point at it, corp.local, dc01.corp.local and SRV records will not resolve, and half your tools fail with confusing errors that look like auth problems.

# Point resolution at the DC, confirm the domain answers
nslookup -type=SRV _ldap._tcp.dc._msdcs.corp.local <dc_ip>
nxc smb <dc_ip>                      # confirms host up + prints domain/hostname/OS

Kerberos also needs FQDNs. Add the DC to /etc/hosts (<dc_ip> dc01.corp.local dc01) so short names and IPs both resolve to the canonical FQDN. This one step prevents a whole class of Kerberos SPN failures later (see ad-environment-constraints).

1.2 Clock sync

Kerberos rejects tickets when client and DC differ by more than five minutes (KRB_AP_ERR_SKEW). Sync before you touch Kerberos.

sudo ntpdate <dc_ip>        # or: sudo rdate -n <dc_ip>

1.3 Environment posture: detect before you authenticate

Fingerprint the environment's hardening before you pick an auth path. Whether NTLM is disabled, whether the KDC is AES-only, whether LDAP signing / channel binding is required, whether LDAPS is even listening. Every one of these changes which command will work and which will silently fail. Probe it first, then choose Kerberos vs NTLM, LDAPS vs LDAP, RC4 vs AES accordingly. The full catalogue of constraints and how to read them lives in ad-environment-constraints; the point here is that posture detection belongs in setup, not as an afterthought when a bind fails.

# Cheap unauthenticated fingerprint of the target surface
nxc smb <dc_ip> --gen-relay-list relaytargets.txt   # SMB signing posture across hosts
nxc ldap <dc_ip>                                     # LDAP/LDAPS reachability + null bind behaviour

1.4 First credentials

Everything downstream is gated on having a foothold identity. Before you assume you have none, try the credential-free vectors that frequently yield one:

  • Anonymous / null-session enumeration of users (RID cycling) to build a username list.
  • AS-REP roasting against accounts with pre-auth disabled: no password needed.
  • Responder / LLMNR-NBNS poisoning to capture a NetNTLM hash.
# RID-cycle a user list from a null session, then feed AS-REP roasting
nxc smb <dc_ip> -u '' -p '' --rid-brute > rids.txt
GetNPUsers.py corp.local/ -usersfile users.txt -dc-ip <dc_ip> -no-pass -format hashcat

You leave setup with: reachable DC, working resolution, clock in sync, a read on the posture, and ideally one credential or hash to work with.


Phase 2: Collection

Map before you exploit. This is the rule that separates a professional assessment from flailing. You collect the entire directory and network picture first, reason over it, and only then act, because the graph tells you which attacks are worth attempting and which lead nowhere. Collection is read-only: LDAP queries, SAMR lookups, share listings. Nothing here changes state on the target.

2.1 Topology and trusts

Before enumerating one domain, learn the shape of the forest. A trust can make a credential from domain A the key to domain B, and a path that looks blocked inside one domain is trivial across a trust.

nxc ldap <dc_ip> -u user -p pass -M enum_trusts
nxc ldap <dc_ip> -u user -p pass --dc-list      # enumerate DCs in the domain

2.2 Directory collection: the BloodHound graph

Collect the object graph once, in full. Users, groups, computers, ACLs, sessions, GPOs, delegation: this is the single most valuable artifact of the engagement, because attack paths are computed from it. BloodHound CE (Apache-2.0, genuinely open source) ingests the collector output and lets you query low-priv → Domain Admin routes.

# Python collector (bloodhound-ce-py): LDAP + SMB collection into JSON for BloodHound CE
bloodhound-ce-python -u user -p pass -d corp.local -ns <dc_ip> -c All --zip

# or netexec's built-in BloodHound module
nxc ldap <dc_ip> -u user -p pass --bloodhound --collection All --dns-server <dc_ip>

Request only the attributes you need and spread queries over time. BloodHound-style collection has a well-known LDAP signature that MDI and ATA detect (see ad-opsec-telemetry).

2.3 LDAP / SAMR / shares

Fill in the detail the graph does not capture on its own:

# Users, descriptions (passwords are routinely left in the description field), pwd policy
nxc smb <dc_ip> -u user -p pass --users
nxc ldap <dc_ip> -u user -p pass -M get-desc-users
nxc smb <dc_ip> -u user -p pass --pass-pol            # read lockout threshold BEFORE spraying

# Share inventory across the estate
nxc smb <targets> -u user -p pass --shares

Reading the password policy here is not optional. The lockout threshold you learn in this phase is what makes spraying safe in the next one.

2.4 Host and identity inventory

Port-scan the in-scope range, inventory which hosts run SMB/WinRM/RDP/MSSQL, and record reachability so the exploitation phase does not waste workers on dead hosts.

nxc smb <cidr> --gen-relay-list live.txt      # live SMB hosts
nxc smb <targets> -u user -p pass             # OS/signing/domain per host, one pass

You leave collection with: the trust map, a full BloodHound graph, user/share inventories, the password policy, and a live-host list.


Phase 3: Exploitation

Now you act, and the order inside this phase matters as much as the phase order itself.

3.1 Attack-path discovery first

Before running a single exploit, ask the graph what is reachable. Mark the identities you already control as owned in BloodHound and query shortest paths to Domain Admins, to Tier-0 assets, and to any high-value target. This turns "try everything" into "run the three techniques that are actually on a path to DA." Reasoning over the graph before touching a DC is the whole reason collection came first.

3.2 Cheap credential wins before spraying

Harvest credentials that cost nothing and lock nothing before you ever send a spray. These read from data you already collected or query the DC gently:

  • Timeroast: recover machine-account hashes via NTP (no auth, no lockout risk).
  • LDAP descriptions / userPassword: passwords left in object attributes.
  • GPP passwords: the cPassword in Groups.xml on SYSVOL, AES-decryptable with a published key.
  • GPP autologin: plaintext autologon creds in registry.pol / SYSVOL.
# GPP cPassword from SYSVOL: read-only, no lockout risk
Get-GPPPassword.py -no-pass corp.local/ -dc-ip <dc_ip>
nxc smb <dc_ip> -u user -p pass -M gpp_password -M gpp_autologin

Every credential you win here is one you did not have to guess, and none of them can lock an account. Do this before spraying, always.

3.3 Spraying: measured, after you know the policy

Only now do you spray, and only because you read the lockout policy in collection. Spraying blind is how you lock out real accounts and burn the engagement. Try, in order of decreasing safety:

  • pre2k: pre-Windows-2000 computer accounts whose password equals the lowercased hostname (no user lockout at stake).
  • blank passwords: accounts with an empty password.
  • username-as-password: the account name as its own password.
  • credential reuse: a password you already recovered, sprayed across other accounts.
# ONE password across all users, staying under the lockout threshold you read earlier
nxc smb <dc_ip> -u users.txt -p 'Winter2026!' --continue-on-success
# check pre2k accounts specifically
nxc smb <dc_ip> -u computers.txt -p '' --pre2k

Cap attempts per account below the threshold, and leave a window before lockout resets. Spraying is a controlled action, not a brute-force.

3.4 Share and credential hunting

With more identities in hand, spider the shares you inventoried for secrets: config files with connection strings, scripts with embedded passwords, KeePass databases, private keys. Bound the spider by depth, time, and file count per share so you do not run for hours or trip DLP.

nxc smb <targets> -u user -p pass -M spider_plus       # controlled recursive share hunt

Each new credential feeds back to 3.1: mark it owned, re-query the graph, repeat. The exploitation phase is a loop, not a straight line: collect, reason, act, re-collect.


Phase 4: Post-processing

  • Consolidate loot: every credential, hash, ticket, and secret in one place, tagged with where it came from and what it unlocks.
  • Re-collect as ownership grows: a credential that gives you a new session changes the graph. Re-run collection so path discovery sees the new reality.
  • Verify the path end-to-end: confirm the low-priv → Domain Admin route actually works, rather than assuming the graph edge is exploitable.
  • Report: findings, the proven path, evidence, and remediation. Map each technique to the compliance controls it touches (see compliance-mapping), and document the telemetry each step generated so the client can correlate with their own logs (see ad-opsec-telemetry).

Why this order, in one paragraph

Setup makes the target reachable and gives you a foothold identity. Collection turns the domain into a graph you can reason over, and reading the password policy here is what makes later spraying safe. Exploitation starts by asking the graph what is worth doing, then takes the credentials that cost nothing before the ones that risk lockout, then sprays only within the known policy, then hunts with every identity gained, looping back to re-reason each time ownership grows. Post-processing proves the path and writes it up. Skip a phase or run one out of order and you either miss the path that was in front of you or lock out the accounts that would have led you to it.

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github.com/adscanpro/claude-ad