approck-services

v1.0.8 suspicious
4.0
Medium Risk

Async SQLAlchemy and FastAPI service helpers, with optional S3-compatible uploads.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk level due to its low repository activity and single contributor, which raises concerns about its maintenance and reliability. However, the absence of any direct malicious indicators such as shell execution or credential harvesting lowers the immediate threat.

  • Low repository activity and single contributor
  • Use of urllib for network calls
Per-check LLM notes
  • Network: The use of urllib to make network calls could be legitimate but requires further investigation into the context and purpose of these calls.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
  • Metadata: The repository's low activity and single contributor suggest potential risk, especially given the lack of maintainer history.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7088 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
  • 31 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 4 commits in adalekin/approck-services
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • x else filename with urllib.request.urlopen(url) as file_: return await self.upload_
✓ 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
  • Single contributor with only 4 commit(s) — possibly throwaway account
⚠ 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 approck-services 
Create a simple but robust blog platform using the 'approck-services' Python package. This platform should allow users to create accounts, log in, post articles, and upload images associated with their posts. Additionally, it should support basic CRUD operations for blog posts and user profiles.

### Features:
- User registration and authentication
- User profile management
- Blog post creation, reading, updating, and deletion
- Image uploading via S3-compatible storage
- Search functionality for blog posts

### How to Use 'approck-services':
- Utilize the async SQLAlchemy ORM provided by 'approck-services' for database interactions.
- Leverage FastAPI integration for API development.
- Use the S3-compatible upload feature for handling image attachments.

### Steps:
1. Set up your environment with Python and install 'approck-services'.
2. Define models for User and Post using the async SQLAlchemy ORM.
3. Implement user authentication logic, including registration and login.
4. Create APIs for managing user profiles and blog posts.
5. Integrate S3-compatible uploads for images.
6. Add search capabilities for blog posts.
7. Test the application thoroughly to ensure all features work as expected.

💬 Discussion Feed

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