🤖 AI Analysis

Final verdict: SAFE

The package abcvoting v2.19.2 has low individual risk scores across all categories and no indications of malicious activities. The metadata risk score is slightly higher due to sparse author information.

No network or shell risks detected.
Minimal metadata risk with sparse author information.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell executions detected, indicating no direct system command risks.
Obfuscation: No obfuscation patterns detected in the package.
Credentials: No credential harvesting patterns detected in the package.
Metadata: The author information is sparse, but there are no clear signs of malicious intent or typosquatting.

🔬 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: sent.at>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://research.illc.uva.nl/COST-IC1205/BookDocs/Chapters/TrendsCOMSOC-02.pdf

✓ Git Repository History

Repository martinlackner/abcvoting appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 abcvoting

Create a web-based application using Flask that allows users to simulate elections using approval-based voting systems. This application will utilize the 'abcvoting' Python package to implement various ABC (Approval-Based Committee) rules. Users should be able to input their own sets of candidates and voters, and then choose from different election methods supported by 'abcvoting'. The application should display the results of the election according to the chosen method.

### Features:
1. **User Input Interface**: Allow users to enter candidate names and voter preferences (which candidates each voter approves).
2. **Election Method Selection**: Provide a dropdown menu where users can select from different ABC rules such as Proportional Approval Voting (PAV), Phragmen, Chamberlin-Courant, etc.
3. **Result Display**: Show the elected committee members based on the selected ABC rule.
4. **Visualization**: Include a simple bar chart showing the number of approvals each candidate received.
5. **Educational Content**: Add explanations about the different ABC rules and why they might be used in certain scenarios.

### Utilization of 'abcvoting':
- Use 'abcvoting' to define the set of candidates and voters.
- Apply different ABC rules provided by 'abcvoting' to calculate the winning committee.
- Use 'abcvoting' visualization tools to generate charts showing the distribution of votes.

### Steps to Build:
1. Set up a Flask environment.
2. Integrate 'abcvoting' into your Flask app.
3. Design the user interface for inputting candidates and voters.
4. Implement functionality to apply different ABC rules and display results.
5. Create visualizations using matplotlib or another plotting library.
6. Add educational content explaining the ABC rules.
7. Test the application thoroughly to ensure it works correctly under all scenarios.