Login
Simple script to generate graphs and charts on hashcat (and john) potfile and ntds
FreshRSS git clone https://github.com/Orange-Cyberdefense/graphcat
cd graphcat
pip install .
$ graphcat.py -h
usage: graphcat.py [-h] -potfile hashcat.potfile -hashfile hashfile.txt [-john] [-format FORMAT] [-export-charts] [-output-dir OUTPUT_DIR] [-debug]
Password Cracking Graph Reporting
options:
-h, --help show this help message and exit
-potfile hashcat.potfile
Hashcat Potfile
-hashfile hashfile.txt
File containing hashes (one per line)
-john John potfile
-format FORMAT hashfile format (default 3): 1 for hash; 2 for username:hash; 3 for secretsdump (username:uid:lm:ntlm)
-export-charts Output also charts in png
-output-dir OUTPUT_DIR
Output directory
-debug Turn DEB UG output ON
Graphcat just need a potfile with -potfile (default is hashcat, but you can use -john to submit a john potfile) and a hashfile with -hashfile. The hashfile should be in a specific format from the 3 availables formats with -format flag. Default is Secretsdump.
The tool will generate a report with multiple password cracking charts. You can get charts in png with the -export-charts flag.
$ graphcat.py -hashfile entreprise.local.ntds -potfile hashcat.pot
[-] Parsing potfile
[-] 164 entries in potfile
[-] Parsing hashfile
[-] 1600 entries in hashfile
[-] Generating graphs...
[-] Generating report...
[-] Report available at graphcat_1672941324.pdf
1: Only Hash
aad3b435b51404eeaad3b435b51404ee
aad3b435b51404eeaad3b435b51404ee
aad3b435b51404eeaad3b435b51404ee
2: Username + Hash
test1:aad3b435b51404eeaad3b435b51404ee
test2:aad3b435b51404eeaad3b435b51404ee
test3:aad3b435b51404eeaad3b435b51404ee
3: Secretsdump
waza.local\test1:4268:aad3b435b51404eeaad3b435b51404ee:aad3b435b51404eeaad3b435b51404ee:::
waza.local\test2:4269:aad3b435b51404eeaad3b435b51404ee:aad3b435b51404eeaad3b435b51404ee:::
waza.local\test3:4270:aad3b435b51404eeaad3b435b51404ee:aad3b435b51404eeaad3b435b51404ee:::
If a hash occurs more than once in the hash file, it will be counted that many times.
Moreover, if you submit secretsdump with password history (-history in secretsdump command), it will analyze similarity in password history
With dBmonster you are able to scan for nearby WiFi devices and track them trough the signal strength (dBm) of their sent packets (sniffed with TShark). These dBm values will be plotted to a graph with matplotlib. It can help you to identify the exact location of nearby WiFi devices (use a directional WiFi antenna for the best results) or to find out how your self made antenna works the best (antenna radiation patterns).
| Feature | Linux | MacOS |
|---|---|---|
| Listing WiFi interfaces | β
| β
|
| Track & scan on 2.4GHz | β
| β
|
| Track & scan on 5GHz | β
| β
|
| Scanning for AP | β
| β
|
| Scanning for STA | β
| |
| Beep when device found | β | β
|
git clone https://github.com/90N45-d3v/dBmonster
cd dBmonster
# Install required tools (On MacOS without sudo)
sudo python requirements.py
# Start dBmonster
sudo python dBmonster.py
| Platform ο»
| WiFi Adapter ο‘
|
|---|---|
| Kali Linux | ALFA AWUS036NHA, DIY Bi-Quad WiFi Antenna |
| MacOS Monterey | Internal card 802.11 a/b/g/n/ac (MBP 2019) |
Normally, you can only enable monitor-mode on the internal wifi card from MacOS with the airport utility from Apple. Somehow, wireshark (or here TShark) can enable it too on MacOS. Cool, but because of the MacOS system and Wiresharkβs workaround, there are many issues running dBmonster on MacOS. After some time, it could freeze and/or you have to stop dBmonster/Tshark manually from the CLI with the ps command. If you want to run it anyway, here are some helpful tips:
Look if there are any processes, named dBmonster, tshark or python:
sudo ps -U root
Now kill them with the following command:
sudo kill <PID OF PROCESS>
sudo airport <WiFi INTERFACE NAME> sniff
Press control + c after a few seconds
