Linux-Smart-Enumeration - Linux Enumeration Tool For Pentesting And CTFs With Verbosity Levels

wget "https://github.com/diego-treitos/linux-smart-enumeration/releases/latest/download/lse.sh" -O lse.sh;chmod 700 lse.sh

curl "https://github.com/diego-treitos/linux-smart-enumeration/releases/latest/download/lse.sh" -Lo lse.sh;chmod 700 lse.sh

Use: ./lse.sh [options]

 OPTIONS
  -c           Disable color
  -i           Non interactive mode
  -h           This help
  -l LEVEL     Output verbosity level
                 0: Show highly important results. (default)
                 1: Show interesting results.
                 2: Show all gathered information.
  -s SELECTION Comma separated list of sections or tests to run. Available
               sections:
                 usr: User related tests.
                 sud: Sudo related tests.
                 fst: File system related tests.
                 sys: System related tests.
                 sec: Security measures related tests.
                 ret: Recurren tasks (cron, timers) related tests.
                 net: Network related tests.
                 srv: Services related tests.
                 pro: Processes related tests.
                 sof: Software related tests.
                 ctn: Container (docker, lxc) related tests.
                 cve: CVE related tests.
               Specific tests can be used with their IDs (i.e.: usr020,sud)
  -e PATHS     Comma separated list of paths to exclude. This allows you
               to do faster scans at the cost of completeness
  -p SECONDS   Time that the process monitor will spend watching for
               processes. A value of 0 will disable any watch (default: 60)
  -S           Serve the lse.sh script in this host so it can be retrieved
               from a remote host.

bash <(wget -q -O - "https://github.com/diego-treitos/linux-smart-enumeration/releases/latest/download/lse.sh") -l2 -i

bash <(curl -s "https://github.com/diego-treitos/linux-smart-enumeration/releases/latest/download/lse.sh") -l1 -i

AzSubEnum - Azure Service Subdomain Enumeration

AzSubEnum is a specialized subdomain enumeration tool tailored for Azure services. This tool is designed to meticulously search and identify subdomains associated with various Azure services. Through a combination of techniques and queries, AzSubEnum delves into the Azure domain structure, systematically probing and collecting subdomains related to a diverse range of Azure services.

AzSubEnum operates by leveraging DNS resolution techniques and systematic permutation methods to unveil subdomains associated with Azure services such as Azure App Services, Storage Accounts, Azure Databases (including MSSQL, Cosmos DB, and Redis), Key Vaults, CDN, Email, SharePoint, Azure Container Registry, and more. Its functionality extends to comprehensively scanning different Azure service domains to identify associated subdomains.

With this tool, users can conduct thorough subdomain enumeration within Azure environments, aiding security professionals, researchers, and administrators in gaining insights into the expansive landscape of Azure services and their corresponding subdomains.

During my learning journey on Azure AD exploitation, I discovered that the Azure subdomain tool, Invoke-EnumerateAzureSubDomains from NetSPI, was unable to run on my Debian PowerShell. Consequently, I created a crude implementation of that tool in Python.

➜  AzSubEnum git:(main) ✗ python3 azsubenum.py --help
usage: azsubenum.py [-h] -b BASE [-v] [-t THREADS] [-p PERMUTATIONS]

Azure Subdomain Enumeration

options:
  -h, --help            show this help message and exit
  -b BASE, --base BASE  Base name to use
  -v, --verbose         Show verbose output
  -t THREADS, --threads THREADS
                        Number of threads for concurrent execution
  -p PERMUTATIONS, --permutations PERMUTATIONS
                        File containing permutations

Basic enumeration:

python3 azsubenum.py -b retailcorp --thread 10

Using permutation wordlists:

python3 azsubenum.py -b retailcorp --thread 10 --permutation permutations.txt

With verbose output:

python3 azsubenum.py -b retailcorp --thread 10 --permutation permutations.txt --verbose

Gssapi-Abuse - A Tool For Enumerating Potential Hosts That Are Open To GSSAPI Abuse Within Active Directory Networks

gssapi-abuse was released as part of my DEF CON 31 talk. A full write up on the abuse vector can be found here: A Broken Marriage: Abusing Mixed Vendor Kerberos Stacks

The tool has two features. The first is the ability to enumerate non Windows hosts that are joined to Active Directory that offer GSSAPI authentication over SSH.

The second feature is the ability to perform dynamic DNS updates for GSSAPI abusable hosts that do not have the correct forward and/or reverse lookup DNS entries. GSSAPI based authentication is strict when it comes to matching service principals, therefore DNS entries should match the service principal name both by hostname and IP address.

Prerequisites

gssapi-abuse requires a working krb5 stack along with a correctly configured krb5.conf.

Windows

On Windows hosts, the MIT Kerberos software should be installed in addition to the python modules listed in requirements.txt, this can be obtained at the MIT Kerberos Distribution Page. Windows krb5.conf can be found at C:\ProgramData\MIT\Kerberos5\krb5.conf

Linux

The libkrb5-dev package needs to be installed prior to installing python requirements

All

Once the requirements are satisfied, you can install the python dependencies via pip/pip3 tool

pip install -r requirements.txt

Enumeration Mode

The enumeration mode will connect to Active Directory and perform an LDAP search for all computers that do not have the word Windows within the Operating System attribute.

Once the list of non Windows machines has been obtained, gssapi-abuse will then attempt to connect to each host over SSH and determine if GSSAPI based authentication is permitted.

Example

python .\gssapi-abuse.py -d ad.ginge.com enum -u john.doe -p SuperSecret!
[=] Found 2 non Windows machines registered within AD
[!] Host ubuntu.ad.ginge.com does not have GSSAPI enabled over SSH, ignoring
[+] Host centos.ad.ginge.com has GSSAPI enabled over SSH

DNS Mode

DNS mode utilises Kerberos and dnspython to perform an authenticated DNS update over port 53 using the DNS-TSIG protocol. Currently dns mode relies on a working krb5 configuration with a valid TGT or DNS service ticket targetting a specific domain controller, e.g. DNS/dc1.victim.local.

Examples

Adding a DNS A record for host ahost.ad.ginge.com

python .\gssapi-abuse.py -d ad.ginge.com dns -t ahost -a add --type A --data 192.168.128.50
[+] Successfully authenticated to DNS server win-af8ki8e5414.ad.ginge.com
[=] Adding A record for target ahost using data 192.168.128.50
[+] Applied 1 updates successfully

Adding a reverse PTR record for host ahost.ad.ginge.com. Notice that the data argument is terminated with a ., this is important or the record becomes a relative record to the zone, which we do not want. We also need to specify the target zone to update, since PTR records are stored in different zones to A records.

python .\gssapi-abuse.py -d ad.ginge.com dns --zone 128.168.192.in-addr.arpa -t 50 -a add --type PTR --data ahost.ad.ginge.com.
[+] Successfully authenticated to DNS server win-af8ki8e5414.ad.ginge.com
[=] Adding PTR record for target 50 using data ahost.ad.ginge.com.
[+] Applied 1 updates successfully

Forward and reverse DNS lookup results after execution

nslookup ahost.ad.ginge.com
Server:  WIN-AF8KI8E5414.ad.ginge.com
Address:  192.168.128.1

Name:    ahost.ad.ginge.com
Address:  192.168.128.50

nslookup 192.168.128.50
Server:  WIN-AF8KI8E5414.ad.ginge.com
Address:  192.168.128.1

Name:    ahost.ad.ginge.com
Address:  192.168.128.50

N. Korean Lazarus Group Targets Software Vendor Using Known Flaws

Nodesub - Command-Line Tool For Finding Subdomains In Bug Bounty Programs

Nodesub is a command-line tool for finding subdomains in bug bounty programs. It supports various subdomain enumeration techniques and provides flexible options for customization.

Features

• Perform subdomain enumeration using CIDR notation (Support input list).
• Perform subdomain enumeration using ASN (Support input list).
• Perform subdomain enumeration using a list of domains.

Installation

To install Nodesub, use the following command:

npm install -g nodesub

NOTE:

• Edit File ~/.config/nodesub/config.ini

Usage

nodesub -h

This will display help for the tool. Here are all the switches it supports.

KnockKnock - Enumerate Valid Users Within Microsoft Teams And OneDrive With Clean Output

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.

Usage

$ 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

Examples

./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

Options

• You can select one or both modes, as long as the appropriate options are provided for the modules selected.
• Both modules will require the domain flag (-d) and the user input list (-i).
• The tool does not require an output file as an option, and if not supplied, it will print to screen only.
• The verbose mode will show A LOT of extra information, including users that are not valid.
• The Teams option requires a bearer token. The script automatically removes the beginning and end portions to use only whats required.

How to get your Bearer token

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.

References

@nyxgeek - onedrive_user_enum
@immunIT - TeamsUserEnum

AD_Enumeration_Hunt - Collection Of PowerShell Scripts And Commands That Can Be Used For Active Directory (AD) Penetration Testing And Security Assessment

Description

Welcome to the AD Pentesting Toolkit! This repository contains a collection of PowerShell scripts and commands that can be used for Active Directory (AD) penetration testing and security assessment. The scripts cover various aspects of AD enumeration, user and group management, computer enumeration, network and security analysis, and more.

The toolkit is intended for use by penetration testers, red teamers, and security professionals who want to test and assess the security of Active Directory environments. Please ensure that you have proper authorization and permission before using these scripts in any production environment.

Everyone is looking at what you are looking at; But can everyone see what he can see? You are the only difference between them… By Mevlânâ Celâleddîn-i Rûmî

Features

• Enumerate and gather information about AD domains, users, groups, and computers.
• Check trust relationships between domains.
• List all objects inside a specific Organizational Unit (OU).
• Retrieve information about the currently logged-in user.
• Perform various operations related to local users and groups.
• Configure firewall rules and enable Remote Desktop (RDP).
• Connect to remote machines using RDP.
• Gather network and security information.
• Check Windows Defender status and exclusions configured via GPO.
• ...and more!

Usage

1. Clone the repository or download the scripts as needed.
2. Run the PowerShell script using the appropriate PowerShell environment.
3. Follow the on-screen prompts to provide domain, username, and password when required.
4. Enjoy exploring the AD Pentesting Toolkit and use the scripts responsibly!

Disclaimer

The AD Pentesting Toolkit is for educational and testing purposes only. The authors and contributors are not responsible for any misuse or damage caused by the use of these scripts. Always ensure that you have proper authorization and permission before performing any penetration testing or security assessment activities on any system or network.

License

This project is licensed under the MIT License. The Mewtwo ASCII art is the property of Alperen Ugurlu. All rights reserved.

Cyber Security Consultant

Alperen Ugurlu

InfoHound - An OSINT To Extract A Large Amount Of Data Given A Web Domain Name

During the reconnaissance phase, an attacker searches for any information about his target to create a profile that will later help him to identify possible ways to get in an organization. InfoHound performs passive analysis techniques (which do not interact directly with the target) using OSINT to extract a large amount of data given a web domain name. This tool will retrieve emails, people, files, subdomains, usernames and urls that will be later analyzed to extract even more valuable information.

Infohound architecture

Installation

git clone https://github.com/xampla/InfoHound.git
cd InfoHound/infohound
mv infohound_config.sample.py infohound_config.py
cd ..
docker-compose up -d

You must add API Keys inside infohound_config.py file

Default modules

InfoHound has 2 different types of modules, those which retreives data and those which analyse it to extract more relevant information.

 Retrievval modules

Analysis

Custom modules

InfoHound lets you create custom modules, you just need to add your script inside infohoudn/tool/custom_modules. One custome module has been added as an example which uses Holehe tool to check if the emails previously are attached to an account on sites like Twitter, Instagram, Imgur and more than 120 others.

Columbus-Server - API first subdomain discovery service, blazingly fast subdomain enumeration service with advanced features

Columbus Project is an API first subdomain discovery service, blazingly fast subdomain enumeration service with advanced features.

Columbus returned 638 subdomains of tesla.com in 0.231 sec.

Usage

By default Columbus returns only the subdomains in a JSON string array:

curl 'https://columbus.elmasy.com/lookup/github.com'

But we think of the bash lovers, so if you don't want to mess with JSON and a newline separated list is your wish, then include the Accept: text/plain header.

DOMAIN="github.com"

curl -s -H "Accept: text/plain" "https://columbus.elmasy.com/lookup/$DOMAIN" | \
while read SUB
do
        if [[ "$SUB" == "" ]]
        then
                HOST="$DOMAIN"
        else
                HOST="${SUB}.${DOMAIN}"
        fi
        echo "$HOST"
done

For more, check the features or the API documentation.

Entries

Currently, entries are got from Certificate Transparency.

Command Line

Usage of columbus-server:
  -check
    	Check for updates.
  -config string
    	Path to the config file.
  -version
    	Print version informations.

-check: Check the lates version on GitHub. Prints up-to-date and returns 0 if no update required. Prints the latest tag (eg.: v0.9.1) and returns 1 if new release available. In case of error, prints the error message and returns 2.

Build

git clone https://github.com/elmasy-com/columbus-server
make build

Install

Create a new user:

adduser --system --no-create-home --disabled-login columbus-server

Create a new group:

addgroup --system columbus

Add the new user to the new group:

usermod -aG columbus columbus-server

Copy the binary to /usr/bin/columbus-server.

Make it executable:

chmod +x /usr/bin/columbus-server

Create a directory:

mkdir /etc/columbus

Copy the config file to /etc/columbus/server.conf.

Set the permission to 0600.

chmod -R 0600 /etc/columbus

Set the owner of the config file:

chown -R columbus-server:columbus /etc/columbus

Install the service file (eg.: /etc/systemd/system/columbus-server.service).

cp columbus-server.service /etc/systemd/system/

Reload systemd:

systemctl daemon-reload

Start columbus:

systemctl start columbus-server

If you want to columbus start automatically:

systemctl enable columbus-server

Wanderer - An Open-Source Process Injection Enumeration Tool Written In C#

Wanderer is an open-source program that collects information about running processes. This information includes the integrity level, the presence of the AMSI as a loaded module, whether it is running as 64-bit or 32-bit as well as the privilege level of the current process. This information is extremely helpful when building payloads catered to the ideal candidate for process injection.

This is a project that I started working on as I progressed through Offensive Security's PEN-300 course. One of my favorite modules from the course is the process injection & migration section which inspired me to be build a tool to help me be more efficient in during that activity. A special thanks goes out to ShadowKhan who provided valuable feedback which helped provide creative direction to make this utility visually appealing and enhanced its usability with suggested filtering capabilities.

Usage

PS C:\> .\wanderer.exe

     >> Process Injection Enumeration
     >> https://github.com/gh0x0st

Usage: wanderer [target options] <value> [filter options] <value> [output options] <value>

Target Options:

-i, --id, Target a single or group of processes by their id number
-n, --name, Target a single or group of processes by their name
-c, --current, Target the current process and reveal the current privilege level
-a, --all, Target every running process

Filter Options:

--include-denied, Include instances where process access is denied
--exclude-32, Exclude instances where the process architecture is 32-bit
--exclude-64, Exclude instances where the process architecture is 64-bit
--exclude-amsiloaded, Exclude instances where amsi.dll is a loaded proces   s module
--exclude-amsiunloaded, Exclude instances where amsi is not loaded process module
--exclude-integrity, Exclude instances where the process integrity level is a specific value

Output Options:

--output-nested, Output the results in a nested style view
-q, --quiet, Do not output the banner

Examples:

Enumerate the process with id 12345
C:\> wanderer --id 12345

Enumerate all processes with the names process1 and processs2
C:\> wanderer --name process1,process2

Enumerate the current process privilege level
C:\> wanderer --current

Enumerate all 32-bit processes
C:\wanderer --all --exclude-64

Enumerate all processes where is AMSI is loaded
C:\> wanderer --all --exclude-amsiunloaded

Enumerate all processes with the names pwsh,powershell,spotify and exclude instances where the integrity level is untrusted or low and exclude 32-bit processes
C:\> wanderer    --name pwsh,powershell,spotify --exclude-integrity untrusted,low --exclude-32

Screenshots

Example 1

Example 2

Example 3

Example 4

Example 5

Graphicator - A GraphQL Enumeration And Extraction Tool

Graphicator is a GraphQL "scraper" / extractor. The tool iterates over the introspection document returned by the targeted GraphQL endpoint, and then re-structures the schema in an internal form so it can re-create the supported queries. When such queries are created is using them to send requests to the endpoint and saves the returned response to a file.

Erroneous responses are not saved. By default the tool caches the correct responses and also caches the errors, thus when re-running the tool it won't go into the same queries again.

Use it wisely and use it only for targets you have the permission to interact with.

We hope the tool to automate your own tests as a penetration tester and gives some push even to the ones that don't do GraphQLing test yet.

To learn how to perform assessments on GraphQL endpoints: https://cybervelia.com/?p=736&preview=true

Installation

Install on your system

python3 -m pip install -r requirements.txt

Using a container instead

docker run --rm -it -p8005:80 cybervelia/graphicator --target http://the-target:port/graphql --verbose

When the task is done it zips the results and such zip is provided via a webserver served on port 8005. To kill the container, provide CTRL+C. When the container is stopped the data are deleted too. Also you may change the host port according to your needs.

Usage

python3 graphicator.py [args...]

Setting up a target

The first step is to configure the target. To do that you have to provide either a --target option or a file using --file.

Setting a single target via arguments

python3 graphicator.py --target https://subdomain.domain:port/graphql

Setting multiple targets

python3 graphicator.py --target https://subdomain.domain:port/graphql --target https://target2.tld/graphql

Setting targets via a file

python3 graphicator.py --file file.txt

The file should contain one URL per line as such:

http://target1.tld/graphql
http://sub.target2.tld/graphql
http://subxyz.target3.tld:8080/graphql

Using a Proxy

You may connect the tool with any proxy.

Connect to the default burp settings (port 8080)

python3 graphicator.py --target target --default-burp-proxy

Connect to your own proxy

python3 graphicator.py --target target --use-proxy

Connect via Tor

python3 graphicator.py --target target --use-tor

Using Headers

python3 graphicator.py --target target --header "x-api-key:60b725f10c9c85c70d97880dfe8191b3"

Enable Verbose

python3 graphicator.py --target target --verbose

Enable Multi-threading

python3 graphicator.py --target target --multi

Disable warnings for insecure and self-signed certificates

python3 graphicator.py --target target --insecure

Avoid using cached results

python3 graphicator.py --target target --no-cache

Example

python3 graphicator.py --target http://localhost:8000/graphql --verbose --multi

  _____                  __    _             __           
 / ___/____ ___ _ ___   / /   (_)____ ___ _ / /_ ___   ____
/ (_ // __// _ `// _ \ / _ \ / // __// _ `// __// _ \ / __/
\___//_/   \_,_// .__//_//_//_/ \__/ \_,_/ \__/ \___//_/   
               /_/                                         

By @fand0mas

[-] Targets:  1
[-] Headers:  'Content-Type', 'User-Agent'
[-] Verbose
[-] Using cache: True
************************************************************
  0%|                                                     | 0/1 [00:00<?, ?it/s][*] Enumerating... http://localhost:8000/graphql
[*] Retrieving... => query {getArticles  { id,title,views } }
[*] Retrieving... => query {getUsers  { id,username,email,password,level } }
100%|█████████████████████████████████████████████| 1/1 [00:00<00:00, 35.78it/s]

$ cat reqcache-queries/9652f1e7c02639d8f78d1c5263093072fb4fd06c.query 
query {getUsers  { id,username,email,password,level } }

Output Structure

Three folders are created:

• reqcache: The response of each valid query is stored in JSON format
• reqcache-intro: All introspection queries are stored in a separate file in this directory
• reqcache-queries: All queries are stored in a separate file in this directory. The filename of each query will match with the corresponding filename in the reqcache directory that holds the query's response.

The filename is the hash which takes account the query and the url.

License & EULA

Copyright 2023 Cybervelia Ltd

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Maintainer

The tools has been created and maintained by (@fand0mas).

Contribution is also welcome.