AI Analysis
Final verdict: SAFE
The package shows low risks across all categories except metadata, where there are some suspicious non-HTTPS links and limited author information. However, these factors alone do not conclusively indicate malicious intent.
- Low network and shell execution risks
- No obfuscation or credential harvesting detected
- Suspicious metadata with non-HTTPS links and limited author detail
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has some suspicious non-HTTPS links and an author with limited details, indicating potential risk but not conclusive evidence of malice.
Package Quality Overall: Low (3.8/10)
○ 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 (4948 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 76 commits in megvii-research/aiomegfileSmall but multi-author team (3–4 contributors)
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: googlegroups.com>
Suspicious Page Links
score 4.0
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://`Non-HTTPS external link: http://namenode:9870
Git Repository History
Repository megvii-research/aiomegfile appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 aiomegfile
Create a fully functional mini-application named 'CloudSync' that leverages the 'aiomegfile' Python package to synchronize files across multiple cloud storage services like AWS S3, Google Drive, and local filesystems. The application should allow users to specify source and destination directories and initiate a synchronization process that copies new or updated files from the source to the destination. Here’s a detailed breakdown of the requirements: 1. **User Interface**: Develop a simple command-line interface (CLI) where users can input their cloud storage credentials, specify the source and destination directories, and start the synchronization process. 2. **Authentication**: Implement basic authentication mechanisms for different cloud services. Users should be able to securely enter their API keys or access tokens for services like AWS S3 and Google Drive. 3. **Synchronization Logic**: Utilize 'aiomegfile' to asynchronously scan the source directory and identify any new or modified files since the last synchronization. For each file, check if it exists in the destination directory. If not, upload it; if it does exist, compare timestamps and update only if necessary. 4. **Error Handling**: Ensure robust error handling to manage issues such as network interruptions, invalid credentials, or permission errors. Provide clear feedback messages to users about any issues encountered during synchronization. 5. **Logging**: Implement logging functionality to record the synchronization activities, including start/end times, files processed, and any errors that occurred. Logs should be stored locally for future reference. 6. **Configuration File**: Allow users to save their settings in a configuration file so they don't have to re-enter them every time they run the application. This file should include default source/destination directories and cloud service credentials. 7. **Testing**: Write unit tests to verify the functionality of your application, especially focusing on the synchronization logic and error handling mechanisms. The 'aiomegfile' package will be central to the asynchronous operations required for efficient scanning and transferring of files between directories. Your task is to design and implement a solution that showcases the capabilities of 'aiomegfile' while providing a practical utility for users needing to synchronize files across various cloud services.