A python tool to generate an Excel file linking the list of cracked accounts and their LDAP attributes.
- Authentications:
- Authenticate with password
- Authenticate with LM:NT hashes (Pass the Hash)
- Authenticate with kerberos ticket (Pass the Ticket)
- Exportable to XLSX format with option
--xlsx
This tool takes the output of hashcat
./hashcat -m 1000 ./lab.local.ntds ./wordlists/rockyou.txt --username --show > cracked_ntds.txt
Then you can do:
./CrackedNTDStoXLSX.py -d 'LAB.local' -u 'user' -p 'P@ssw0rd' --dc-ip 10.0.0.101 -n cracked_ntds.txt -x cracked_users.xlsx
$ ./CrackedNTDStoXLSX.py
usage: CrackedNTDStoXLSX.py [-h] [--use-ldaps] [-debug] [-a ATTRIBUTES] -x XLSX -n NTDS [--dc-ip ip address] [--kdcHost FQDN KDC] [-d DOMAIN] [-u USER]
[--no-pass | -p PASSWORD | -H [LMHASH:]NTHASH | --aes-key hex key] [-k]
A python tool to generate an Excel file linking the list of cracked accounts and their LDAP attributes.
options:
-h, --help show this help message and exit
--use-ldaps Use LDAPS instead of LDAP
-debug Debug mode
-a ATTRIBUTES, --attribute ATTRIBUTES
Attributes to extract.
-x XLSX, --xlsx XLSX Output results to an XLSX file.
-n NTDS, --ntds NTDS Output results to an XLSX file.
authentication & connection:
--dc-ip ip address IP Address of the domain controller or KDC (Key Distribution Center) for Kerberos. If omitted it will use the domain part (FQDN) specified in the identity parameter
--kdcHost FQDN KDC FQDN of KDC for Kerberos.
-d DOMAIN, --domain DOMAIN
(FQDN) domain to authenticate to
-u USER, --user USER user to authenticate with
--no-pass don't ask for password (useful for -k)
-p PASSWORD, --password PASSWORD
password to authenticate with
-H [LMHASH:]NTHASH, --hashes [LMHASH:]NTHASH
NT/LM hashes, format is LMhash:NThash
--aes-key hex key AES key to use for Kerberos Authentication (128 or 256 bits)
-k, --kerberos Use Kerberos authentication. Grabs credentials from .ccache file (KRB5CCNAME) based on target parameters. If valid credentials cannot be found, it will use the ones specified in the
command line
Pull requests are welcome. Feel free to open an issue if you want to add other features.