AI Analysis
The package appears to have legitimate use with normal HTTP request operations. While there is some obfuscation via base64 encoding, this does not necessarily indicate malicious intent. The metadata suggests a single package from a less established author, but overall, the package does not strongly indicate a supply-chain attack.
- Normal network call patterns
- Potential obfuscation through base64 encoding
- Incomplete author information
Per-check LLM notes
- Network: Network call patterns suggest normal HTTP request operations which could be part of legitimate functionality, but should be reviewed against the package's intended use.
- Shell: No shell execution patterns detected.
- Obfuscation: The presence of base64 decoding suggests potential obfuscation, but it could also be legitimate use for data encoding.
- Credentials: No clear patterns of credential harvesting are detected.
- Metadata: The author information is incomplete and the maintainer has a single package, suggesting potential lack of credibility.
Package Quality Overall: Medium (5.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://github.com/awebai/aweb/tree/main/server/docsDetailed PyPI description (2957 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
428 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in awebai/awebSingle author but highly active (100 commits)
Heuristic Checks
Found 4 network call pattern(s)
== "GET": resp = httpx.get(url, timeout=30, headers=headers, **kwargs) elif met== "POST": resp = httpx.post(url, timeout=30, headers=headers, **kwargs) elif met"DELETE": resp = httpx.delete(url, timeout=30, headers=headers, **kwargs) else:) try: async with httpx.AsyncClient(transport=transport, timeout=timeout) as client:
Found 3 obfuscation pattern(s)
rip() try: return base64.b64decode(value + "=" * (-len(value) % 4), validate=True) except Etry: cert_json = base64.b64decode(encoded_certificate) cert = json.loads(cert_json)cert_data = json.loads(base64.b64decode(cert_header)) except Exception: raise HTTPExcept
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: juanreyero.com>
All external links appear legitimate
Repository awebai/aweb appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a collaborative task management application using the Python package 'aweb'. This application will allow users to create, assign, track, and manage tasks across multiple agents or users. Hereβs a step-by-step guide on how to develop this application: 1. **Setup Environment**: Begin by setting up your development environment with Python and installing the 'aweb' package. Ensure you have a working knowledge of Python and basic web development concepts. 2. **Initialize aweb Server**: Use 'aweb' to initialize a self-hosted coordination server. This server will handle the identity, presence, messaging, and task management functionalities for your application. 3. **User Authentication**: Implement user authentication so that each user can sign in and have their own space within the application. Utilize 'aweb' for managing user identities and ensuring secure access control. 4. **Task Creation and Assignment**: Allow users to create tasks and assign them to other users or agents. Use 'aweb' to manage these tasks through its task management features, including creating, updating, and deleting tasks. 5. **Real-Time Collaboration**: Enable real-time collaboration by allowing users to see updates on task statuses instantly. Leverage 'aweb' for its presence and messaging capabilities to facilitate real-time communication and updates. 6. **Task Notifications**: Implement a notification system where users receive alerts about new tasks assigned to them or updates on tasks they are monitoring. Use 'aweb' for sending notifications via its mail and chat functionalities. 7. **Task Locking Mechanism**: To prevent concurrency issues, implement a locking mechanism that allows only one user to edit a task at any given time. Utilize 'aweb'βs lock feature to manage task access control effectively. 8. **User Interface Design**: Design a clean and intuitive user interface using HTML/CSS/JavaScript for frontend development. Ensure it integrates seamlessly with the backend services provided by 'aweb'. 9. **Testing and Deployment**: Conduct thorough testing to ensure all functionalities work as expected. Once satisfied, deploy your application to a hosting service of your choice, ensuring that the 'aweb' server is properly configured and accessible. By following these steps, you will create a powerful, collaborative task management tool utilizing the full suite of features offered by the 'aweb' package.
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