AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risks in network, shell, and obfuscation areas. However, the metadata risk score is elevated due to the maintainer having only one package and the absence of a corresponding repository, suggesting potential suspicious behavior.
- Metadata risk score is elevated
- No associated repository found
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a single package and the repository is not found, raising some suspicion but not conclusive evidence of malice.
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: howdendanmark.dk
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "JesperThoftIllemannJ" 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 HowdenLLM
Create a personal finance tracker application using Python that leverages the 'HowdenLLM' package for managing configurations and exporting user data as JSON files. This app should allow users to input their daily expenses and income, categorize them, and generate monthly reports. Here’s a detailed plan on how to develop this application: 1. **Setup Project Environment**: Start by setting up a new Python environment and install necessary packages including 'HowdenLLM'. 2. **Design Configuration Management**: Use 'HowdenLLM' to manage configurations such as database connection strings, API keys, and other settings. Ensure these configurations can be easily updated and exported as JSON files. 3. **Develop User Interface**: Create a simple command-line interface (CLI) where users can add their transactions (income/expenses) and view their current balance. Optionally, you could also create a basic web interface using Flask or Django. 4. **Implement Transaction Categorization**: Allow users to categorize their transactions into predefined categories (e.g., food, entertainment, utilities). Use 'HowdenLLM' to configure these categories dynamically if needed. 5. **Generate Monthly Reports**: Implement functionality to generate monthly financial summaries based on the transactions recorded. These reports should include total income, total expenses, and a breakdown by category. Export these reports as JSON files using 'HowdenLLM'. 6. **Testing and Documentation**: Thoroughly test the application for accuracy and usability. Document all steps of configuration management and data export using 'HowdenLLM'. This project not only enhances your skills in Python development but also provides practical experience in using 'HowdenLLM' for configuration management and data handling.