aa-fleetfinder

v3.3.0 safe
1.0
Low Risk

Fleet finder plugin for Alliance Auth

🤖 AI Analysis

Final verdict: SAFE

The package has been analyzed and shows no signs of network, shell, obfuscation, or credential risks. It appears to be safe for use.

  • No network calls
  • No shell execution
  • No obfuscation patterns
  • No credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or system compromise.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 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: ppfeufer.de>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 aa-fleetfinder 
Your task is to create a comprehensive fleet management mini-application using the 'aa-fleetfinder' package, which is designed to integrate fleet tracking capabilities into the Alliance Auth platform. This application will enable administrators to manage fleets more efficiently by providing real-time location data, vehicle status updates, and historical movement patterns of each fleet member.

**Step 1:** Set up your development environment with Python and install the necessary packages, including 'aa-fleetfinder'. Ensure you have a basic understanding of the Alliance Auth framework and its API endpoints.

**Step 2:** Design the user interface for your application. It should include a dashboard displaying all active fleets, a search bar to filter fleets by name or ID, and a section to display detailed information about selected fleets.

**Step 3:** Implement functionality to fetch fleet data from Alliance Auth using the 'aa-fleetfinder' package. This includes retrieving fleet names, member IDs, current locations, and any additional metadata provided by the package.

**Step 4:** Add real-time tracking capabilities. Use the 'aa-fleetfinder' package to periodically update the location of fleet members on the dashboard. Consider using a map library like Folium or Plotly to visualize these movements.

**Step 5:** Develop a feature that allows administrators to view historical data of fleet movements. This could involve storing location updates in a database and providing tools within the app to query this data based on time periods or specific events.

**Step 6:** Integrate alerts or notifications into your application. These could be triggered based on certain conditions such as a fleet member leaving a predefined area or entering a restricted zone.

**Suggested Features:**
- Integration with external GPS systems for enhanced accuracy.
- User authentication to restrict access to sensitive fleet data.
- Export options to save fleet movement data in various formats (CSV, JSON).
- Customizable alerts for different types of fleet activities.

By following these steps and incorporating the suggested features, you'll create a robust fleet management tool that leverages the power of 'aa-fleetfinder' to provide valuable insights and control over fleet operations.