AI Analysis
Final verdict: SAFE
The package has minimal risks associated with network calls, shell execution, and obfuscation. However, the incomplete author information slightly increases suspicion but does not conclusively indicate malicious intent.
- Low network and shell execution risks
- Incomplete author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the tool requires them for functionality.
- Shell: No shell execution patterns detected, indicating low risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is incomplete, suggesting a potentially less experienced or cautious maintainer.
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
Repository ppfeufer/aa-intel-tool appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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-intel-tool
Create a comprehensive Eve Online Intel Tool using Python and the 'aa-intel-tool' package. This tool will serve as an essential companion for players involved in PvP activities within the game, providing them with real-time intel from D-Scan data processed through Alliance Auth. Here’s a detailed breakdown of what your application should achieve: 1. **Data Parsing**: Utilize the 'aa-intel-tool' package to parse D-Scan results directly from Alliance Auth. Ensure that the tool can handle various formats of D-Scan data and extract relevant information such as ship types, positions, and more. 2. **Real-Time Alerts**: Implement a feature that sends real-time alerts to users when specific ships or groups of ships are detected within a defined radius. These alerts could be sent via email, SMS, or in-game chat, depending on user preferences. 3. **Historical Data Analysis**: Allow users to store and analyze historical D-Scan data. Provide visualizations such as heat maps showing the frequency of certain ship types in specific areas over time. 4. **Customizable Filters**: Enable users to set up customizable filters based on ship types, player names, corporation IDs, etc., so they only receive intel relevant to their interests or operations. 5. **Integration with Eve Online Services**: Integrate with other Eve Online services like ESI (Eve Swagger Interface) to fetch additional information about detected entities, such as character standings, corporation details, etc. 6. **User Interface**: Develop a clean, intuitive user interface where users can view their intel data, set up filters, and configure alert settings. Consider developing both a web-based UI and a command-line interface for flexibility. 7. **Security and Privacy**: Ensure all user data is handled securely, with robust encryption for stored data and secure transmission methods for any sensitive information exchanged between the application and external services. 8. **Documentation and Support**: Provide comprehensive documentation for users and developers, including setup guides, API references, and troubleshooting tips. Also, establish a support system for users who encounter issues. The 'aa-intel-tool' package will be central to parsing D-Scan data and extracting actionable intelligence. Your task is to design and implement this tool, ensuring it meets the needs of active Eve Online PvP players while offering a seamless user experience.