🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential handling. However, metadata issues such as missing author information and a single associated package raise concerns about its reliability and origin.

Low risk in network, shell, obfuscation, and credential handling
Metadata red flags due to missing author information and single associated package

Per-check LLM notes

Network: The observed network call is likely part of the package's functionality to interact with an external API, possibly for fetching fleet tracking data.
Shell: No shell execution patterns detected, indicating low risk of direct system command injection or execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags, particularly the lack of author information and a single associated package, suggesting potential unreliability.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

lic_headers() response = requests.get( f"{ESI_BASE}{path}", params=query,

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ 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-fleettracker

Create a fleet management mini-app using the 'aa-fleettracker' package, which is a plugin designed for Alliance Auth, a popular authentication system for EVE Online. Your task is to develop a web-based application that allows administrators to track and manage fleets of ships within the EVE Online universe. This application should integrate seamlessly with Alliance Auth to authenticate users and provide them with real-time fleet information.

### Features:
1. **User Authentication**: Utilize Alliance Auth to handle user login and permissions. Only authenticated users should have access to fleet data.
2. **Fleet Tracking**: Display the current status of each fleet, including location, number of members, and mission details. Users should be able to filter fleets based on various criteria such as ship type, location, or mission status.
3. **Real-Time Updates**: Implement WebSocket technology to push real-time updates to users about fleet movements and changes in status.
4. **Detailed Fleet Information**: Provide detailed views of each fleet, showing individual members, their roles, and any special instructions or notes.
5. **Admin Dashboard**: Create an admin dashboard where fleet leaders can add new fleets, assign members, update mission statuses, and more.
6. **Notifications**: Send notifications to fleet members when there are important updates or changes in the fleet's status.
7. **Data Export**: Allow users to export fleet data into CSV format for record-keeping purposes.

### How 'aa-fleettracker' is Used:
- **Integration**: Integrate the 'aa-fleettracker' package to authenticate users through Alliance Auth and fetch fleet data from the EVE Online API.
- **Data Handling**: Use the package to manage and process fleet-related data efficiently.
- **API Calls**: Make use of the package's capabilities to interact with the EVE Online API for fetching and updating fleet information.

### Development Steps:
1. Set up a development environment with Python, Flask (or Django), and necessary libraries including 'aa-fleettracker'.
2. Configure Alliance Auth for user authentication.
3. Develop the front-end interface using HTML, CSS, and JavaScript (with frameworks like React or Vue.js if preferred).
4. Implement back-end logic to handle user requests, data processing, and communication with the EVE Online API through 'aa-fleettracker'.
5. Test the application thoroughly, ensuring all features work as expected and that data is handled securely.
6. Deploy the application to a server or cloud platform for public access.

This project will not only enhance fleet management within EVE Online but also serve as a practical example of integrating third-party packages and APIs in a real-world application.