AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risks but raises suspicion due to the maintainer's metadata lacking detail, suggesting potential inexperience or lack of transparency.
- Maintainer's author name is missing or very short
- Single package maintained by the author
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
- Metadata: The maintainer's author name is missing or very short and has only one package, which might indicate a less experienced or potentially suspicious user.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: langui.ch>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository markuskiller/vba-edit appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with access-vba
Create a utility called 'AccessVBAManager' that leverages the 'access-vba' package to manage Microsoft Access databases' VBA code from the command line. This utility will allow users to perform operations such as exporting VBA modules, importing new VBA modules, and editing existing ones within an Access database. Step-by-Step Instructions: 1. Set up a Python virtual environment and install the 'access-vba' package. 2. Design a CLI interface using Python's argparse module to accept commands and arguments. 3. Implement functions to connect to an Access database using the 'access-vba' package. 4. Create a function to export VBA modules from the database to local files. 5. Develop a feature to import VBA modules from local files into the database. 6. Add functionality to edit VBA modules directly within the database through the CLI. 7. Ensure error handling is robust to manage issues like file not found errors or connection failures. 8. Write comprehensive documentation on how to use the 'AccessVBAManager' utility. 9. Test the application thoroughly to ensure all features work as expected. Suggested Features: - Support for multiple database connections. - Ability to specify which VBA modules to export/import/edit. - Interactive mode for editing VBA code in real-time. - Logging of all actions performed for audit purposes. - Compatibility with both .accdb and .mdb file formats. Utilizing 'access-vba': - Use 'access-vba' to establish a connection to the Access database. - Leverage its methods for exporting, importing, and editing VBA modules. - Integrate 'access-vba' functionalities to streamline interaction with Access databases' VBA code. This project aims to provide developers with a powerful tool for managing VBA code in Access databases without needing to open the Access application itself.