Bloodhound

Bloodhound Usage

Linux

Rusthound

The most opsec

GitHub - NH-RED-TEAM/RustHound: Active Directory data ingestor for BloodHound Legacy written in Rust. 🦀GitHub

rusthound -d "$DOMAIN" -u "$USER"@"$DOMAIN" -p "$PASSWORD" --zip --ldaps --adcs --old-bloodhound

NXC

nxc ldap <ip> -u user -p pass --bloodhound --collection All

nxc ldap 192.168.1.48 -u raj -p Password@1 --bloodhound --collection All --dns-server 192.168.1.48

Bloodhound.py

To get all data in Bloodhound, use SharpHond.exe - Exegol compatible version https://github.com/BloodHoundAD/SharpHound/releases/download/v1.0.4/SharpHound-v1.0.4.zip

Bloodhound.py don't get all data, probably because of DNS resolution

With password

$ sudo bloodhound-python -u 'forend' -p 'Klmcargo2' -ns 172.16.5.5 -d inlanefreight.local -c all 

INFO: Found AD domain: inlanefreight.local
INFO: Connecting to LDAP server: ACADEMY-EA-DC01.INLANEFREIGHT.LOCAL
INFO: Found 1 domains
INFO: Found 2 domains in the forest
INFO: Found 564 computers
INFO: Connecting to LDAP server: ACADEMY-EA-DC01.INLANEFREIGHT.LOCAL
INFO: Found 2951 users
INFO: Connecting to GC LDAP server: ACADEMY-EA-DC01.INLANEFREIGHT.LOCAL
INFO: Found 183 groups
INFO: Found 2 trusts
INFO: Starting computer enumeration with 10 workers

Timeout errors - add dns-tcp

bloodhound.py --zip -c All -d "INLANEFREIGHT.LOCAL" -u "forend" -p "Klmcargo2" -ns "172.16.5.5" --dns-tcp

Even better

$ cat /etc/resolv.conf 

# Generated by Docker Engine.
# This file can be edited; Docker Engine will not make further changes once it
# has been modified.

nameserver 127.0.0.53
search lan
options edns0 trust-ad

# Based on host file: '/etc/resolv.conf'
# Overrides: []

domain FREIGHTLOGISTICS.LOCAL
nameserver 172.16.5.238

bloodhound.py --zip -c All -d FREIGHTLOGISTICS.LOCAL -ns 172.16.5.238 -c All -u [e-mail] -p Klmcargo2 --dns-tcp
INFO: Found AD domain: freightlogistics.local
INFO: Getting TGT for user

With Kerberos (ccache)

When "password" is prompted, just press enter

# export KRB5CCNAME=krb5cc.florence.ramirez
# bloodhound.py --zip -c All -d "domain.htb" -u "florence.ramirez" -k -ns 10.10.11.24
Password: 

LDAPSearch - Avoid Detection

proxychains ldapsearch -LLL -H ldap://dc03.eu-ifrit.vl -D 'EU-IFRIT\Grace.Dunn' -w 'PenEuIfrit527#' -b "DC=EU-IFRIT,DC=VL" -N -o ldif-wrap=no -E '!1.2.840.113556.1.4.801=::MAMCAQc=' "(&(objectClass=*))" | tee objects.txt 

GitHub - fortalice/bofhound: Generate BloodHound compatible JSON from logs written by ldapsearch BOF, pyldapsearch and Brute Ratel's LDAP SentinelGitHub

# git clone https://github.com/fortalice/bofhound
# cd bofhound
# pip install .
# cd ..

# wget https://gist.githubusercontent.com/kozmer/725cde788e4b3c8bdd870468c243916b/raw/a797b4020bef960124d79d7295cb6ad1849b47a1/ldapsearch_parser.py
# python3 ldapsearch_parser.py objects.txt object-conv.txt
# bofhound -i object-conv.txt  

JSON files can be ingest int o Bloodhound and we now have ACLs

Can also see:

GitHub - SySS-Research/ldif2bloodhound: Convert an LDIF file to JSON files ingestible by BloodHoundGitHub

Windows

Sharphound.exe

For Exegol compatible version: https://github.com/BloodHoundAD/SharpHound/releases/download/v1.0.4/SharpHound-v1.0.4.zip

PS C:\htb> .\SharpHound.exe -c All --zipfilename ILFREIGHT

# removes noisy collection methods like RDP, DCOM, PSRemote and LocalAdmin

SharpHound.exe –-steatlh

Sharphound.ps1

C:\AD\Tools\BloodHound-master\Collectors\SharpHound.ps1 
Invoke-BloodHound -CollectionMethod All

# removes noisy collection methods like RDP, DCOM, PSRemote and LocalAdmin

Invoke-BloodHound –Steatlh

# avoid detections like MDI

Invoke-BloodHound -ExcludeDCs

SOAPHound

GitHub - FalconForceTeam/SOAPHound: SOAPHound is a custom-developed .NET data collector tool which can be used to enumerate Active Directory environments via the Active Directory Web Services (ADWS) protocol.GitHub

ShadowHound

2 options: ADWS or LDAP

ShadowHound: A SharpHound Alternative Using Native PowerShellSecurity Friends' Research Blog

GitHub - Friends-Security/ShadowHound: PowerShell scripts for alternative SharpHound enumeration, including users, groups, computers, and certificates, using the ActiveDirectory module (ADWS) or System.DirectoryServices class (LDAP).GitHub

# 1/
ShadowHound-ADM -OutputFilePath "C:\Résultats\output.txt"

# 2/
python3 bofhound.py -i output.txt -p All

ADExplorer64 - Avoid Detection

ADExplorer64.exe is a sysinternal signed binary

https://live.sysinternals.com/ADExplorer64.exelive.sysinternals.com

C:\Windows\Temp\ is a default AppLocker Exclusion Path

Z:\>copy C:\Users\Grace.Dunn\Desktop\ADExplorer64.exe C:\Windows\Temp\
Overwrite C:\Windows\Temp\ADExplorer64.exe? (Yes/No/All): Yes
        1 file(s) copied.
        
Z:\>C:\Windows\Temp\ADExplorer64.exe

File -> Create a Snapshot

Unhide C:\ProgramData - It is hidden by default - View and check "Hidden Items"

Parse the snapshot to ingest it in Bloodhound

GitHub - c3c/ADExplorerSnapshot: ADExplorerSnapshot.py is an AD Explorer snapshot parser. It is made as an ingestor for BloodHound via BOFHound, and also supports full-object dumping to NDJSON.GitHub

https://github.com/c3c/ADExplorerSnapshot.py/issues/45github.com

[Jan 18, 2025 - 07:04:10 (EST)] exegol-default ADExplorerSnapshot.py # vim adexpsnapshot/__init__.py 

Change self.preprocessCached() by self.preprocess()

python3 ADExplorerSnapshot.py ../snapshot.dat

Can now be used in Bloodhound

It doesn't include ACL datas

To get ACL datas see LDAPSearch

Run Bloodhound

Then upload zip file generate from Sharphound or bloodhound-python

Bloodhound-quickwin

GitHub - kaluche/bloodhound-quickwin: Simple script to extract useful informations from the combo BloodHound + Neo4jGitHub

bloodhound-quickwin -u neo4j -p exegol4thewin

AD Miner

GitHub - AD-Security/AD_Miner: AD Miner is an Active Directory audit tool that leverages cypher queries to crunch data from the #Bloodhound graph database to uncover security weaknessesGitHub

Autobloody

GitHub - CravateRouge/autobloody: Tool to automatically exploit Active Directory privilege escalation paths shown by BloodHoundGitHub

Bloodhound Query Library

BloodHound Query Libraryqueries.specterops.io

Interesting Book

Interesting Books

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