aiodhcpwatcher

v1.2.7 safe
3.0
Low Risk

Watch for DHCP packets with asyncio

🤖 AI Analysis

Final verdict: SAFE

The package aiodhcpwatcher v1.2.7 presents minimal risks based on the analysis conducted. It shows no signs of network communication, shell execution, or obfuscation, and does not appear to handle credentials.

  • No network calls detected.
  • No shell execution detected.
  • No obfuscation techniques observed.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage without secret handling issues.
  • Metadata: The author has only one package, which might indicate a new or less active user.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aiodhcpwatcher.readthedocs.io
  • Detailed PyPI description (4166 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 9 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 7 unique contributor(s) across 100 commits in bluetooth-devices/aiodhcpwatcher
  • Active 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

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: koston.org

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository bluetooth-devices/aiodhcpwatcher appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "J. Nick Koston" 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 aiodhcpwatcher 
Create a Python-based network monitoring tool called 'DHCP Monitor' using the 'aiodhcpwatcher' package. This tool will continuously listen for DHCP packets on a specified network interface and log the details of each DHCP packet received. Additionally, it should be able to identify and track devices that connect to the network over time, storing their MAC addresses and IP addresses in a local SQLite database. The application should also have the ability to send alerts via email or SMS when new devices are detected or if a device has been disconnected from the network.

Step-by-step guide:
1. Set up the basic structure of your project, including a main script and a configuration file where users can specify the network interface and alert settings.
2. Install 'aiodhcpwatcher' and any other necessary packages like 'aiohttp' for sending emails and 'twilio' for sending SMS messages.
3. Implement the core functionality of listening for DHCP packets using 'aiodhcpwatcher'. For each packet, extract relevant information such as the source MAC address, destination MAC address, transaction ID, and packet type (e.g., DHCP Discover, DHCP Offer).
4. Use an SQLite database to store the extracted information about each DHCP packet, ensuring that duplicate entries are not added for the same device within a certain timeframe.
5. Develop a system for tracking device connections and disconnections based on the DHCP packets received. When a new device is detected, add it to the database and trigger an alert according to the user-defined settings.
6. Implement a user-friendly command-line interface that allows users to start, stop, and configure the DHCP Monitor.
7. Test the application thoroughly under various conditions to ensure reliability and accuracy.
8. Document the installation process, configuration options, and usage instructions in a README file.