albafish

v1.0.6 suspicious
4.0
Medium Risk

Educational toolkit for analyzing Albion Online fishing mechanics through network packets

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in direct execution and network activities but has a high metadata risk due to recent rapid commits and lack of maintainer information, raising concerns about its legitimacy and intentions.

  • High metadata risk
  • Lack of maintainer information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of potential malicious activity due to recent rapid commits and lack of maintainer information.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/evyshape/albafish#readme
  • Detailed PyPI description (4394 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 137 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 10 commits in evyshape/albafish
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • All 10 commits happened within 24 hours
⚠ 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 albafish 
Develop a real-time analytics dashboard for Albion Online fishing using the 'albafish' Python package. This application will serve as an educational tool for players interested in optimizing their fishing strategies by providing insights into the game's mechanics through the analysis of network packets. Here’s a step-by-step guide on how to approach building this mini-app:

1. **Setup**: Begin by setting up your development environment with Python and the 'albafish' package installed. Ensure you have the necessary permissions to capture and analyze network traffic.
2. **Data Collection**: Use 'albafish' to capture and parse network packets related to fishing activities in Albion Online. Implement functionality to filter out irrelevant data and focus on fishing-related interactions.
3. **Real-Time Analysis**: Develop algorithms within the app to perform real-time analysis on the collected data. This could include identifying patterns in fish spawn times, calculating optimal fishing spots based on catch rates, and predicting the best times to fish for specific fish types.
4. **Visualization**: Create a user-friendly interface where players can view the analyzed data in real-time. Include visual elements such as graphs, charts, and maps to help users understand the insights derived from the data.
5. **User Interaction**: Allow users to input their own fishing data (if they choose) and compare it against the aggregated data from other players. Provide options for customization, such as adjusting the time frame for analysis or selecting specific fish types.
6. **Educational Content**: Integrate educational content about fishing mechanics in Albion Online. This could be in the form of tips, tutorials, or FAQs based on the insights gained from the data analysis.
7. **Security and Privacy**: Ensure that all user data is handled securely and in compliance with privacy laws. Users should have control over their data and be informed about how it is used.

Suggested Features:
- Real-time graph showing current fish spawn locations and times.
- Historical data analysis tools allowing users to look back at past fishing trends.
- Notifications system alerting users when rare fish are available for catching.
- A leaderboard showcasing top fishing spots and the most successful anglers.
- Integration with social media platforms for sharing achievements and discoveries.

Utilize the 'albafish' package to handle the low-level details of packet capturing and parsing, focusing your efforts on building the higher-level analytics and visualization components of the application.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!