AI Analysis
Final verdict: SAFE
The aiopnsense package has been assessed and found to have minimal risks across multiple dimensions including network, shell, obfuscation, and credential handling. The package appears safe for use.
- No network calls detected
- No shell execution detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution detected, reducing likelihood of malicious activities like command injection.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Medium (6.2/10)
✦ High
Test Suite
9.0
Test suite present — 18 test file(s) found
Test runner config found: pyproject.toml18 test file(s) detected (e.g. test_client_base.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (3111 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
302 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
6 unique contributor(s) across 64 commits in Snuffy2/aiopnsenseActive community — 5 or more distinct contributors
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Snuffy2/aiopnsense appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Snuffy2" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aiopnsense
Your task is to create a simple yet powerful network monitoring tool using the 'aiopnsense' Python package. This tool will allow users to manage and monitor their OPNsense firewall from a command-line interface (CLI). The application should be designed to be user-friendly, efficient, and capable of handling asynchronous operations smoothly due to the nature of the 'aiopnsense' library. ### Core Functionality: 1. **Login/Logout**: Implement a login feature where users can authenticate themselves with their OPNsense firewall. Ensure that users can also log out securely. 2. **Firewall Rules Management**: Allow users to add, delete, and modify firewall rules on their OPNsense firewall. Each rule should have details such as protocol, source IP, destination IP, port number, and action. 3. **System Information Retrieval**: Fetch basic system information from the OPNsense firewall, including uptime, version, and status of the firewall. 4. **Alert System**: Set up an alert system that monitors specific firewall events and notifies users via email if certain conditions are met (e.g., high traffic volume, unauthorized access attempts). ### Additional Features (Optional): - Support for configuring VLANs and interfaces. - Ability to generate reports on firewall activity over a given period. - Integration with external logging services for enhanced security monitoring. ### How to Use 'aiopnsense': - Utilize the 'aiopnsense' package to connect to your OPNsense firewall asynchronously. Ensure you handle exceptions properly to avoid disruptions in service. - Use the package’s functions to interact with the firewall API endpoints for performing actions like adding rules, fetching system information, etc. - Leverage asyncio for concurrent operations to improve performance and responsiveness. ### Deliverables: - A well-documented CLI tool written in Python. - Sample usage scenarios demonstrating each core functionality. - Instructions on how to install and run the application. - Any additional features implemented should be clearly documented and demonstrated. This project aims to showcase the capabilities of 'aiopnsense' while providing a practical solution for managing OPNsense firewalls.
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