TruffleHog Explorer - A User-Friendly Web-Based Tool To Visualize And Analyze Data Extracted Using TruffleHog

Welcome to TruffleHog Explorer, a user-friendly web-based tool to visualize and analyze data extracted using TruffleHog. TruffleHog is one of the most powerful secrets discovery, classification, validation, and analysis open source tool. In this context, a secret refers to a credential a machine uses to authenticate itself to another machine. This includes API keys, database passwords, private encryption keys, and more.

With an improved UI/UX, powerful filtering options, and export capabilities, this tool helps security professionals efficiently review potential secrets and credentials found in their repositories.

⚠️ This dashboard has been tested only with GitHub TruffleHog JSON outputs. Expect updates soon to support additional formats and platforms.

You can use online version here: TruffleHog Explorer

🚀 Features

• Intuitive UI/UX: Beautiful pastel theme with smooth navigation.
• Powerful Filtering:
• Filter findings by repository, detector type, and uploaded file.
• Flexible date range selection with a calendar picker.
• Verification status categorization for effective review.
• Advanced search capabilities for faster identification.
• Batch Operations:
• Verify or reject multiple findings with a single click.
• Toggle visibility of rejected results for a streamlined view.
• Bulk processing to manage large datasets efficiently.
• Export Capabilities:
• Export verified secrets or filtered findings effortlessly.
• Save and load session backups for continuity.
• Generate reports in multiple formats (JSON, CSV).
• Dynamic Sorting:
• Sort results by repository, date, or verification status.
• Customizable sorting preferences for a personalized experience.

📥 Installation & Usage

1. Clone the Repository

$ git clone https://github.com/yourusername/trufflehog-explorer.git
$ cd trufflehog-explorer

2. Open the index.html

Simply open the index.html file in your preferred web browser.

$ open index.html

📂 How to Use

1. Upload TruffleHog JSON Findings:
2. Click on the "Load Data" section and select your .json files from TruffleHog output.
3. Multiple files are supported.
4. Apply Filters:
5. Choose filters such as repository, detector type, and verification status.
6. Utilize the date range picker to narrow down findings.
7. Leverage the search function to locate specific findings quickly.
8. Review Findings:
9. Click on a finding to expand and view its details.
10. Use the action buttons to verify or reject findings.
11. Add comments and annotations for better tracking.
12. Export Results:
13. Export verified or filtered findings for reporting.
14. Save session data for future review and analysis.
15. Save Your Progress:
16. Save your session and resume later without losing any progress.
17. Automatic backup feature to prevent data loss.

Happy Securing! 🔒

mapXplore - Allow Exporting The Information Downloaded With Sqlmap To A Relational Database Like Postgres And Sqlite

mapXplore is a modular application that imports data extracted of the sqlmap to PostgreSQL or SQLite database.

Its main features are:

• Import of information extracted from sqlmap to PostgreSQL or SQLite for subsequent querying.
• Sanitized information, which means that at the time of import, it decodes or transforms unreadable information into readable information.
• Search for information in all tables, such as passwords, users, and desired information.

• Automatic export of information stored in base64, such as:

  • Word, Excel, PowerPoint files
  • .zip files
  • Text files or plain text information
  • Images

• Filter tables and columns by criteria.

• Filter by different types of hash functions without requiring prior conversion.
• Export relevant information to Excel or HTML

Installation

Requirements

• python-3.11

git clone https://github.com/daniel2005d/mapXplore
cd mapXplore
pip install -r requirements

Usage

It is a modular application, and consists of the following:

• config: It is responsible for configuration, such as the database engine to use, import paths, among others.
• import: It is responsible for importing and processing the information extracted from sqlmap.
• query: It is the main module capable of filtering and extracting the required information.
  • Filter by tables
  • Filter by columns
  • Filter by one or more words
  • Filter by one or more hash functions within which are:
    • MD5
    • SHA1
    • SHA256
    • SHA3
    • ....

Beginning

Allows loading a default configuration at the start of the program

python engine.py [--config config.json]

Modules

• config
• import
• principal|search

Pyxamstore - Python Utility For Parsing Xamarin AssemblyStore Blob Files

This is an alpha release of an assemblies.blob AssemblyStore parser written in Python. The tool is capable of unpack and repackaging assemblies.blob and assemblies.manifest Xamarin files from an APK.

Installing

Run the installer script:

python setup.py install

You can then use the tool by calling pyxamstore

Usage

Unpacking

I recommend using the tool in conjunction with apktool. The following commands can be used to unpack an APK and unpack the Xamarin DLLs:

apktool d yourapp.apk
pyxamstore unpack -d yourapp/unknown/assemblies/

Assemblies that are detected as compressed with LZ4 will be automatically decompressed in the extraction process.

Repacking

If you want to make changes to the DLLs within the AssemblyStore, you can use pyxamstore along with the assemblies.json generated during the unpack to create a new assemblies.blob file(s). The following command from the directory where your assemblies.json file exists:

pyxamstore pack

From here you'll need to copy the new manifest and blobs as well as repackage/sign the APK.

Additional Details

Additional file format details can be found on my personal website.

Known Limitations

• Python3 support (working on it!)
• DLLs that have debug/config data associated with them