🤖 AI Analysis

Final verdict: SAFE

The package appears to be a legitimate library for asynchronous communication with the Unifi Controller, with only minor concerns regarding obfuscation and metadata.

moderate obfuscation risk due to 'eval()' usage
new or inactive maintainer account

Per-check LLM notes

Network: The use of aiohttp.ClientSession indicates network requests, which is common for packages interacting with APIs or services like UniFi.
Shell: No shell execution patterns were detected.
Obfuscation: The detection of 'eval()' suggests potential for code injection, but without context, it's uncertain if this is intended for malicious purposes or legitimate functionality.
Credentials: No secret harvesting patterns detected in the provided information.
Metadata: The maintainer has a new or inactive account and lacks author details, which raises minor concerns but does not strongly indicate malice.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

Test runner config found: pyproject.toml
11 test file(s) detected (e.g. test_2fa.py)

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ 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

130 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

11 unique contributor(s) across 100 commits in Kane610/aiounifi
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

aioUniFi") websession = aiohttp.ClientSession(cookie_jar=aiohttp.CookieJar(unsafe=True)) controller =
configured.""" session = aiohttp.ClientSession() config = Configuration( session, "host
_secret.""" session = aiohttp.ClientSession() config = Configuration( session,
figured.""" session = aiohttp.ClientSession() config = Configuration( session,
_secret.""" session = aiohttp.ClientSession() config = Configuration(session, "host", username="
_secret.""" session = aiohttp.ClientSession() config = Configuration( session, "host

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

e "S307", # No builtin eval() allowed "SIM", # flake8-simplify "T100", # Trac

✓ 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: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Kane610/aiounifi appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 aiounifi

Your task is to develop a comprehensive monitoring tool using Python and the 'aiounifi' package, which interfaces with the UniFi Network Controller API. This tool will allow network administrators to keep track of their UniFi devices and network status in real-time. Here’s a detailed plan on how to build it:

1. **Project Setup**: Start by setting up your Python environment and installing the necessary packages including 'aiounifi'. Ensure you have access to a UniFi controller to test your application.
2. **Authentication Module**: Implement a secure login mechanism using the credentials provided by the UniFi controller. Use the 'aiounifi' package to authenticate and fetch session tokens.
3. **Device Monitoring**: Utilize the 'aiounifi' package to retrieve information about all connected devices. Display key details such as device name, IP address, MAC address, connection status, and signal strength.
4. **Network Status Overview**: Provide a summary of the overall network health. Include statistics like total number of connected devices, network uptime, and any ongoing issues or alerts.
5. **Alert System**: Set up an alert system that notifies users via email or SMS if there are significant changes in network conditions, such as a sudden drop in connectivity or hardware failure.
6. **User Interface**: Design a simple yet effective user interface where users can view the current state of the network and manage alerts. Consider using a web framework like Flask or Django for this purpose.
7. **Configuration Management**: Allow administrators to configure settings such as alert thresholds directly from the application. Use 'aiounifi' to push these configurations back to the UniFi controller.
8. **Documentation and Testing**: Write comprehensive documentation for your tool and ensure thorough testing across different scenarios to guarantee reliability.

The 'aiounifi' package is essential for interfacing with the UniFi controller API, providing functions to authenticate, retrieve data, and manage network configurations. Your goal is to create a robust, user-friendly tool that simplifies network management tasks.