azlassets

v4.4.0 suspicious
4.0
Medium Risk

Azur Lane asset downloader and extractor

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network risk due to its direct network connections, but lacks other signs of malicious intent like shell execution, obfuscation, or credential harvesting. However, the author's limited presence on PyPI raises some suspicion.

  • Moderate network risk due to direct network connections
  • Limited author activity on PyPI
Per-check LLM notes
  • Network: The presence of direct network connection and command sending suggests potential unauthorized external communication.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package on PyPI, which may indicate a new or less active maintainer, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5014 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 85 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in nobbyfix/AzurLane-AssetDownloader
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • nnectionSocket() as socket: socket.connect((gateip, gateport)) socket.send_command(10800, 0, state=21
✓ 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

Repository nobbyfix/AzurLane-AssetDownloader appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "nobbyfix" 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 azlassets 
Develop a fully-functional mini-application named 'AzurLaneAssetManager' using Python and the 'azlassets' package. This application will serve as a tool for fans of the game 'Azur Lane' to easily download and manage assets such as images, sounds, and animations from the game. The app should include the following features:

1. **User Interface**: Create a simple yet intuitive graphical user interface (GUI) using a library like PyQt or Tkinter. The GUI should allow users to select which types of assets they want to download (e.g., ship portraits, background music, etc.).
2. **Download Functionality**: Implement a feature that allows users to specify the type and quantity of assets they wish to download. Utilize the 'azlassets' package to handle the downloading process efficiently. Ensure that the application can handle large files and multiple concurrent downloads without crashing.
3. **Extraction Capability**: After downloading, the application should automatically extract any compressed files using the functionalities provided by 'azlassets'. Users should be able to choose where these extracted files are saved on their local system.
4. **Search & Filter Options**: Include search functionality that lets users find specific assets based on criteria like ship name, asset type, or file format. Use 'azlassets' metadata to enhance the search capabilities.
5. **Asset Management**: Provide tools within the application for managing downloaded assets. This includes renaming files, moving them to different folders, and deleting unnecessary files.
6. **Customization Options**: Allow users to customize the application settings, such as setting a default save location for assets, choosing preferred download formats, and enabling/disabling certain features.
7. **Logging & Notifications**: Integrate logging to track the progress of downloads and extraction processes. Additionally, implement notification systems that inform users when tasks are completed or if there are any errors during the process.
8. **Security Measures**: Since the application deals with internet downloads, ensure that it includes basic security measures like checking file integrity after download and avoiding known malicious sources.

To achieve these goals, you'll need to utilize the 'azlassets' package effectively for downloading and extracting assets. Make sure your application is well-documented and includes instructions on how to install dependencies and run the program. Your final deliverable should be a standalone executable file that can be distributed to other Azur Lane fans.

💬 Discussion Feed

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