AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low individual risks but raises concerns due to missing author details and lack of a GitHub repository, indicating potential unreliability.
- Metadata risk due to incomplete author details
- No associated GitHub repository
Per-check LLM notes
- Network: The network calls are likely intended for fetching project and release information from PyPI, which is standard behavior for a package monitor.
- Shell: No shell execution patterns detected, indicating no immediate risk related to command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The package has no associated GitHub repository and the author details are incomplete, suggesting potential unreliability.
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
(packages) async with aiohttp.ClientSession() as session: tasks = [ asyncio.# when async with aiohttp.ClientSession() as session: result = await fetch_project_from_# when async with aiohttp.ClientSession() as session: result = await fetch_pypi_releases# when async with aiohttp.ClientSession() as session: result = await fetch_release_from_
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
No GitHub repository linked
No GitHub repository link found
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 aa-package-monitor
Your task is to create a user-friendly Python application called 'Package Guardian' using the 'aa-package-monitor' package. This application will help users manage their installed Python packages more efficiently by monitoring and providing insights into these packages. Hereβs a detailed plan on how to proceed: 1. **Setup**: Start by installing the necessary dependencies, including 'aa-package-monitor'. Ensure your environment is set up correctly for developing Python applications. 2. **Core Functionality**: - Develop a feature that lists all installed packages along with their versions. - Implement functionality to check if any installed packages have updates available. 3. **User Interface**: Design a simple command-line interface (CLI) for ease of use. Consider adding options like '--list', '--check-updates', etc., for different functionalities. 4. **Advanced Features**: - Add an option to automatically update packages with pending updates. - Integrate a feature that sends notifications when new versions of critical packages are released. 5. **Security Measures**: Since this application deals with system-level operations, ensure it includes robust security checks to prevent unauthorized actions. 6. **Documentation**: Write comprehensive documentation explaining how to install and use 'Package Guardian'. Include examples of common use cases. 7. **Testing**: Create test cases to verify the functionality of each feature. Focus on edge cases such as handling network issues during update checks. 8. **Deployment**: Prepare a deployment guide for 'Package Guardian'. This should include instructions for both local installations and server deployments. Remember, the key to a successful application lies in its usability and reliability. Use 'aa-package-monitor' effectively to leverage its capabilities in tracking and managing Python packages.