aury-boot

v0.0.68 suspicious
5.0
Medium Risk

Aury Boot - 基于 FastAPI 生态的企业级 API 开发框架

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate signs of suspicious behavior due to obfuscation techniques and unclear shell execution, but there is no evidence of malicious intent or active threats.

  • Use of obfuscation techniques such as split and obfuscated import statements.
  • Potential shell execution without clear benign purpose.
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell execution may be used to list installed packages, but without context it's hard to determine intent; could indicate benign functionality or potential risk.
  • Obfuscation: The use of split and obfuscated import statements may indicate an attempt to avoid detection or analysis, which is suspicious.
  • Credentials: No clear patterns of credential harvesting were detected.
  • Metadata: The package shows signs of low maintainer activity and metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.2/10)

○ 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 (3704 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 289 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • plit(":", 1) module = __import__(module_path, fromlist=[app_name]) application = getattr(module, app_name) #
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • """ try: result = subprocess.run( [sys.executable, "-m", "pip", "list", "--format
  • md)}[/dim]") try: subprocess.run(cmd, check=True) return True except subprocess.C
✓ 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 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aury-boot 
Your task is to develop a fully functional mini-application using the 'aury-boot' package, which is a powerful framework built on top of FastAPI designed for enterprise-level API development. This mini-application will serve as a simple yet robust RESTful API service for managing a collection of books, including their authors and publication details. Here’s a detailed breakdown of what your application should achieve:

1. **Setup**: Start by installing the necessary packages, including 'aury-boot'. Ensure you have Python and pip installed on your system before proceeding.
2. **Database Integration**: Integrate a database to store book information. For simplicity, use SQLite as the database backend.
3. **Model Definition**: Define models for Books and Authors within your application. Each Book should have fields such as title, author_id, publication_date, and ISBN. An Author model should include id, name, and biography.
4. **CRUD Operations**: Implement Create, Read, Update, and Delete operations for both Books and Authors. Ensure that these operations are secure and efficient.
5. **Relationships**: Establish a one-to-many relationship between Authors and Books, ensuring that each book is associated with exactly one author, but an author can write multiple books.
6. **Authentication**: Add basic authentication mechanisms to protect your API endpoints. Users should be able to authenticate themselves before performing any CRUD operations.
7. **Testing**: Write unit tests to validate the functionality of your API endpoints. Use pytest or any other testing framework you prefer.
8. **Documentation**: Utilize the auto-generated documentation feature of FastAPI to document your API endpoints effectively.
9. **Deployment Considerations**: Briefly discuss how you would deploy this application in a production environment, considering factors like scalability, security, and maintenance.

Throughout the development process, utilize 'aury-boot' to its full potential by leveraging its built-in features such as ORM support, dependency injection, and middleware capabilities. Your final submission should include the complete source code, along with installation instructions and a brief demonstration of the application's functionality.

💬 Discussion Feed

Leave a comment

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