AI Analysis
The package shows low risks in terms of network usage, shell execution, and code obfuscation but exhibits high metadata risk due to its newness and limited contribution history, raising suspicion of potential malicious intent.
- High metadata risk due to newness and limited contributor history
- No detected malicious activity in code analysis
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, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being potentially malicious due to its newness, lack of maintainer history, and single contributor with few commits.
Package Quality Overall: Medium (5.0/10)
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_client.py)
Some documentation present
Detailed PyPI description (2104 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed10 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 1 commits in polsa/python-allnetSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Very few commits: 1 total
Very few commits: 1 totalSingle contributor with only 1 commit(s) — possibly throwaway account
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 command-line tool using Python that manages network devices such as switches and routers connected via the ALLNET MSR protocol. Your application should allow users to perform common network management tasks like checking device status, configuring interfaces, and monitoring network traffic. Utilize the 'allnet' package to interact with these devices asynchronously. Step 1: Set up your development environment with Python 3.8+ and install the 'allnet' package. Step 2: Design a simple CLI interface where users can input commands to manage their network devices. Step 3: Implement functions to connect to network devices using the 'allnet' package. Ensure you handle asynchronous operations correctly. Step 4: Develop features that allow users to retrieve information about the network devices, such as system uptime, memory usage, and CPU load. Step 5: Add functionality to configure network interfaces on the devices, including setting IP addresses, enabling/disabling interfaces, and configuring VLANs. Step 6: Incorporate real-time monitoring capabilities to display current network traffic statistics and alerts for potential issues. Suggested Features: - User authentication for secure access to network devices - Detailed logging of all management actions performed by the user - Support for multiple concurrent connections to different network devices - Automatic discovery of network devices within a specified subnet range Ensure your application is well-documented and includes examples on how to use the 'allnet' package effectively for various network management tasks.
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