aa-killstats

v3.0.1 suspicious
4.0
Medium Risk

Killboard Stats shows Hall of Shame/Fame, Kills, Top Kills,Loss,etc.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network and shell activities but has incomplete metadata, raising concerns about its legitimacy and the credibility of the maintainer.

  • Incomplete author information
  • Single package maintained by the author
Per-check LLM notes
  • Network: The observed network calls appear to be legitimate API requests, possibly for fetching killboard statistics, which aligns with the package's presumed functionality.
  • Shell: No shell execution patterns were detected, indicating no immediate risk associated with shell command execution.
  • Metadata: The author information is incomplete and the maintainer has a single package, which could indicate a less established or potentially suspicious account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • on"} request_result = requests.get(url=url, headers=headers, timeout=5) try:
  • R2Z2...") sequence = requests.get( ZKILLBOARD_R2Z2_SEQUENCE_URL, timeo
  • format()) response = requests.get( ZKILLBOARD_R2Z2_URL + str(sequence_id) + ".json
✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Geuthur/aa-killstats 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 aa-killstats 
Create a web-based application using Flask that integrates with the 'aa-killstats' package to provide users with comprehensive killboard statistics from Eve Online. This application will serve as a tool for players to monitor their performance and compare it against others in real-time. Here are the steps and features you should include:

1. **Setup Environment**: Begin by setting up a virtual environment and installing necessary packages such as Flask, aa-killstats, and any required dependencies.
2. **Database Integration**: Utilize SQLite for local storage of user profiles and statistics. Implement a mechanism to periodically update the database with new data from aa-killstats.
3. **User Authentication**: Implement basic user authentication allowing users to create accounts, log in, and manage their profiles.
4. **Dashboard Page**: Develop a dashboard where users can view their personal stats including kills, losses, top kills, etc. Use aa-killstats to fetch and display this information dynamically.
5. **Hall of Fame/Shame**: Create sections within the app to display the hall of fame and shame based on the highest and lowest kill counts. These lists should be sortable and filterable by date ranges.
6. **Leaderboards**: Integrate leaderboards showing the top players based on various metrics like total kills, recent activity, and win rate.
7. **Real-Time Updates**: Ensure the application fetches and updates statistics from aa-killstats in real-time or at regular intervals to keep the displayed data current.
8. **API Endpoints**: Provide API endpoints for other developers to access the same data and functionality, promoting further integration and community development.
9. **Responsive Design**: Ensure the application is responsive and works well on both desktop and mobile devices.
10. **Testing & Documentation**: Thoroughly test all functionalities and write clear documentation on how to set up and use the application.

The 'aa-killstats' package is crucial for fetching the raw data about kills, losses, and other stats which your application will then process and present in an easily digestible format for the end-user. Make sure to explore its full capabilities to enhance the depth and accuracy of your application's statistics.