aiodrive

v5.0 suspicious
4.0
Medium Risk

Collection of utilities for working with asynchronous Python code

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows a high obfuscation risk due to the use of pickle.loads, which can be leveraged for malicious activities. However, other risks such as network and shell execution are minimal.

  • High obfuscation risk due to use of pickle.loads
  • No network or shell execution detected
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or system compromise.
  • Obfuscation: The use of pickle.loads with asynchronous reading may indicate an attempt to obfuscate data handling, which could be used for malicious purposes.
  • Credentials: No clear patterns indicating credential harvesting were detected.

📦 Package Quality Overall: Low (3.6/10)

○ 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 (9541 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 5.0

Partial type annotation coverage

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

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in slietar/aiodrive
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • es(size_bytes) return pickle.loads(await self._reader.read(size)) async def send(self, dat
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 aiodrive 
Your task is to create a fully functional mini-application using the 'aiodrive' package, which is designed to enhance asynchronous programming in Python. This app will serve as a cloud storage management tool, allowing users to perform various operations on their files stored across multiple cloud platforms such as Google Drive, Dropbox, and OneDrive.

### Project Overview:
- **Name**: AsyncCloudManager
- **Objective**: To provide a user-friendly interface for managing files across different cloud storage services.
- **Features**:
  - User Authentication: Implement OAuth2 authentication for each supported cloud service.
  - File Operations: Users should be able to upload, download, delete, and list files/folders.
  - Search Functionality: Enable searching for files by name or tags within a specified folder.
  - Transfer Files: Allow transferring files between different cloud accounts.
  - Sync Folders: Synchronize folders between two different cloud storages.
- **Technologies**: Python, aiohttp, aiopath, aiodrive

### Utilizing 'aiodrive':
- Use 'aiodrive' to handle the asynchronous file operations efficiently. Ensure that all I/O-bound tasks are handled asynchronously to maximize performance.
- Leverage 'aiodrive' to manage connections and requests to cloud storage APIs in a non-blocking manner.
- Integrate error handling mechanisms provided by 'aiodrive' to ensure robustness against network issues and API errors.

### Step-by-Step Development Guide:
1. **Setup Environment**: Create a virtual environment and install necessary packages including 'aiodrive', 'aiohttp', and 'aiopath'.
2. **Authentication Setup**: Set up OAuth2 authentication flows for each cloud service you plan to support.
3. **File Operations Module**: Develop a module that uses 'aiodrive' to implement basic file operations like uploading, downloading, listing, and deleting files.
4. **Search Functionality**: Implement a search function that can query files based on names or tags within a given folder.
5. **Transfer & Sync Modules**: Build modules for transferring files between different cloud accounts and synchronizing folders across two cloud storages.
6. **UI/CLI Interface**: Design a simple command-line interface (CLI) or graphical user interface (GUI) for interacting with your application.
7. **Testing**: Write tests to ensure each feature works as expected, focusing on both positive and negative test cases.
8. **Documentation**: Prepare comprehensive documentation for your application, including setup instructions, usage examples, and troubleshooting tips.

This project aims to showcase the capabilities of 'aiodrive' in real-world applications while providing a useful tool for managing cloud storage.

💬 Discussion Feed

Leave a comment

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