AI Analysis
Final verdict: SUSPICIOUS
The package exhibits a low risk in terms of network and shell interactions, and there is no evidence of obfuscation or credential harvesting. However, the metadata risk and potential typosquatting raise concerns about its legitimacy.
- Metadata risk due to a single package from the author
- Potential typosquatting targeting 'arrow'
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author has only one package, which could indicate a new or less active account, raising some suspicion but not conclusively malicious.
- ⚠ Typosquatting target: arrow
Package Quality Overall: Medium (6.6/10)
✦ High
Test Suite
9.0
Test suite present — 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. test_airos6.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (8852 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
95 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
7 unique contributor(s) across 100 commits in compatech/python-airosActive community — 5 or more distinct 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
score 3.0
Possible typosquat of: arrow
"airos" is 2 edit(s) from "arrow"
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository compatech/python-airos appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "CoMPaTech" 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 airos
Create a Python-based monitoring tool for Ubiquiti airMAX devices using the 'airos' package. This tool will allow network administrators to remotely monitor and manage their airMAX devices. Here are the steps and features to include: 1. **Setup and Installation**: Begin by setting up your Python environment. Install the 'airos' package alongside other necessary dependencies such as requests for HTTP operations. 2. **Device Connection**: Implement functionality to connect to multiple airMAX devices. Use 'airos' to authenticate and establish sessions with these devices. 3. **Data Retrieval**: Utilize 'airos' to retrieve critical information from the devices such as firmware version, uptime, and connection status of wireless clients. 4. **Alert System**: Develop an alert system that notifies the administrator via email or SMS if any device shows signs of malfunction, like a sudden drop in performance or unexpected disconnections. 5. **Configuration Management**: Allow for basic configuration changes on the devices, such as adjusting wireless settings or rebooting the device, using 'airos'. 6. **Reporting**: Create a feature that generates periodic reports summarizing the health and performance of each monitored device. 7. **User Interface**: Optionally, develop a simple web interface using Flask or Django where administrators can view real-time data and manage alerts. By completing this project, you'll gain experience working with network devices through Python scripting and understand how to leverage third-party packages for automation.