Geode-Conversion

v6.5.26 suspicious
4.0
Medium Risk

Conversion module for Geode-solutions OpenGeode modules

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package has no apparent direct risks such as network calls or shell executions, but its low maintainer activity and poor metadata quality raise concerns about potential supply-chain attacks.

  • Low maintainer activity
  • Poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: geode-solutions.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with Geode-Conversion
Create a fully-functional mini-application named 'GeoConverter' using Python that leverages the 'Geode-Conversion' package. This application will serve as a versatile tool for converting various geographical data formats into formats compatible with OpenGeode modules. Here’s a detailed breakdown of the project scope:

1. **Application Overview**: GeoConverter will allow users to upload geographical datasets in different formats (such as CSV, KML, Shapefile, etc.) and convert them into a format suitable for use with OpenGeode modules.
2. **Core Features**:
   - **File Upload**: Implement a user-friendly interface allowing users to upload their geographical datasets.
   - **Format Detection**: Automatically detect the format of the uploaded file.
   - **Conversion Options**: Provide a selection of output formats supported by OpenGeode modules.
   - **Conversion Execution**: Convert the uploaded dataset into the selected output format.
   - **Download Converted File**: Allow users to download the converted dataset.
3. **Utilization of 'Geode-Conversion' Package**: Use the 'Geode-Conversion' package to handle the conversion process between different geographical data formats. Ensure that the package is integrated seamlessly into the application's backend logic for efficient data transformation.
4. **Additional Features**:
   - **Data Preview**: Before conversion, display a preview of the uploaded dataset.
   - **Progress Indicator**: Show a progress bar indicating the status of the conversion process.
   - **Error Handling**: Implement robust error handling to manage issues such as unsupported file types, incorrect data formats, and conversion failures.
5. **User Interface**: Design a clean and intuitive UI using a Python framework like Flask or Django for web-based applications. For desktop applications, consider using PyQt or Tkinter.
6. **Documentation**: Write comprehensive documentation explaining how to install and use the application, including details on supported input/output formats and any limitations.
7. **Testing**: Conduct thorough testing to ensure all functionalities work as expected, focusing particularly on edge cases and large datasets.
8. **Deployment**: Prepare the application for deployment on platforms like Heroku or AWS, ensuring it is accessible via the internet.

Your task is to design and implement this application from scratch, adhering to best practices in software development. The final product should be a reliable and user-friendly tool for anyone needing to convert geographical data formats for use with OpenGeode modules.