Fake User Generator for Active Directory Environments
The goal of Youzer is to create information rich Active Directory environments. This uses the python3 library 'faker' to generate random accounts.
pip3 install faker
You can either supply a wordlist or have the passwords generated. The generated option is great for testing things like hashcat rule masks. Wordlist option is useful when wanting to supply a specific password list seeded into an environment, or to practice dictionary attacks.
The output is a CSV and a PowerShell script where both can be copied to the target. When executed, the PowerShell script binds over LDAP so doesn't rely on the newer Active Directory modules and creates each user object. Currently the OU's need to exist, but this tool is a sub-project of 'Labseed' where the Active Directory structure will be created.
- Generate multiple departments (OU's)
- Generate grouping structure and randomly assign
- Implement additional Faker object options to populate other LDAP fields such as Address, Region
- Create an organisational chart of the nested grouping structure
Youzer can create 100,000 users in under 30 seconds and 1,000,000 users in around 3 minutes.
[-] Domain Name set to : example
[*] Writing to output file : sales_example.csv
[!] Generating 100000 users in password generate mode
[!] Creating Powershell script for import : sales_example.ps1
python3 youzer.py --generate --generate_length 20 --ou --domain example 20.35s user 0.11s system 95% cpu 21.354 total
python3 youzer.py --generate --generate_length 20 --ou "ou=sales,dc=example,dc=domain" --domain example --users 1000 --output sales_example.csv
?88 d8P d8888b ?88 d8Pd88888P d8888b 88bd88b
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,d8P version : 0.1
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author : @lorentzenman
team : SpiderLabs
[-] Domain Name set to : example
[*] Writing to output file : sales_example.csv
[!] Generating 1000 users in password generate mode
[!] Creating Powershell script for import : sales_example.ps1
Sample output from CSV file created from generate option
Name,GivenName,sn,ou,password,address,description
Dennis Shaw,Dennis,Shaw,"ou=sales,dc=example,dc=domain",VwVeloi09FaECRdNbbXD,
Sam Francis,Sam,Francis,"ou=sales,dc=example,dc=domain",qhitxgjDW4gZFuraLJbB,
Ellie Freeman,Ellie,Freeman,"ou=sales,dc=example,dc=domain",7qbLcknqlPtpkOzdLyw3,
Terence Arnold,Terence,Arnold,"ou=sales,dc=example,dc=domain",lumPMbDk1YomypRj26by,
Anne Murphy,Anne,Murphy,"ou=sales,dc=example,dc=domain",6r42EGGoEJYe9PydHRTV,
Wendy Smith,Wendy,Smith,"ou=sales,dc=example,dc=domain",tKI2zFUOU8XdK4ZTUJas,
Jay Lyons,Jay,Lyons,"ou=sales,dc=example,dc=domain",wxEIbw18tW9uFYXtMI9H,
Jonathan White,Jonathan,White,"ou=sales,dc=example,dc=domain",caoHcm2Y90lIH7zskJYr,
Adam Roberts,Adam,Roberts,"ou=sales,dc=example,dc=domain",Qu0y7mlb2haQQddxYrcN,
Georgina Jones,Georgina,Jones,"ou=sales,dc=example,dc=domain",rYBjxs4tpj9Qza7HcKYI,
Lee Newton,Lee,Newton,"ou=sales,dc=example,dc=domain",6CVlBvEutc3Ahco2UI5q,
Aaron Smith,Aaron,Smith,"ou=sales,dc=example,dc=domain",hmSSoKILfvrHuHbPTDIQ,
Max Hall,Max,Hall,"ou=sales,dc=example,dc=domain",11Ys9Zdk2M8J1JAScBkP,
Kimberley Douglas,Kimberley,Douglas,"ou=sales,dc=example,dc=domain",WQ9285gSHv2MXkwoLYlg,
Denise Fisher,Denise,Fisher,"ou=sales,dc=example,dc=domain",CT1pbfAnCoezuyrJbQX9,
python3 youzer.py --wordlist ~/tools/pw/Probable-Wordlists/Real-Passwords/Top12Thousand-probable-v2.txt --ou "ou=IT,dc=example,dc=domain" --domain example --users 1000 --output IT_example.csv
?88 d8P d8888b ?88 d8Pd88888P d8888b 88bd88b
d88 88 d8P' ?88d88 88 d8P' d8b_,dP 88P' `
?8( d88 88b d88?8( d88 d8P' 88b d88
`?88P'?8b `?8888P'`?88P'?8bd88888P'`?888P'd88'
)88
,d8P version : 0.1
`?888P'
author : @lorentzenman
team : SpiderLabs
[-] Domain Name set to : example
[*] Writing to output file : IT_example.csv
[!] Generating 1000 users in wordlist mode
[!] Creating Powershell script for import : IT_example.ps1
Sample output of CSV file from above wordlist option
Name,GivenName,sn,ou,password,address,description
Rhys Parker,Rhys,Parker,"ou=IT,dc=example,dc=domain",houston,
Geoffrey Harris,Geoffrey,Harris,"ou=IT,dc=example,dc=domain",clothing,
Georgia Davis,Georgia,Davis,"ou=IT,dc=example,dc=domain",spotty,
Gemma Norris,Gemma,Norris,"ou=IT,dc=example,dc=domain",brendan1,
Daniel Marsh,Daniel,Marsh,"ou=IT,dc=example,dc=domain",pauline,
Dominic Harvey,Dominic,Harvey,"ou=IT,dc=example,dc=domain",devin,
Teresa Stokes,Teresa,Stokes,"ou=IT,dc=example,dc=domain",snapple,
Joanna Morgan,Joanna,Morgan,"ou=IT,dc=example,dc=domain",volcom,
Oliver Middleton,Oliver,Middleton,"ou=IT,dc=example,dc=domain",master,