AI Analysis
Final verdict: SUSPICIOUS
The package is flagged as suspicious due to its unusual lack of network activity despite being a DNS tool and the maintainer's low community engagement.
- No network calls detected for a DNS-related package
- Low community engagement and a new maintainer account
Per-check LLM notes
- Network: No network calls detected, which is not typical but acceptable if the package does not require external communication.
- Shell: No shell execution patterns detected, which is expected and safe.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and the repository lacks community engagement.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Maurice Lambert" 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 PyAsyncDNS
Create a fully-functional mini-application using the Python package 'PyAsyncDNS'. This application will serve as a simple yet effective tool for educational purposes, demonstrating how to implement asynchronous DNS queries and responses. The application should allow users to send a message through DNS requests, which will then be received by the server and displayed back to the user. Here’s a detailed guide on how to build this application: 1. **Setup Environment**: Begin by setting up your Python environment. Ensure you have Python installed and create a virtual environment. Install 'PyAsyncDNS' using pip. 2. **Understand PyAsyncDNS**: Familiarize yourself with the capabilities of 'PyAsyncDNS', focusing on its ability to handle asynchronous DNS operations efficiently. 3. **Design the Application**: Design your application with two main components - a client and a server. The client will send messages via DNS requests, while the server will listen for these requests and respond accordingly. 4. **Client Implementation**: - Implement a function to encode messages into a format suitable for DNS queries. - Use 'PyAsyncDNS' to asynchronously send DNS queries containing the encoded message. - Ensure the client can receive responses from the server and decode them back into readable messages. 5. **Server Implementation**: - Set up a DNS server using 'PyAsyncDNS' that listens for incoming DNS queries. - Implement logic to decode incoming DNS queries and extract the original message. - Send a response back to the client confirming receipt of the message. 6. **Enhancements**: - Add error handling to manage potential issues like network failures or invalid inputs. - Implement logging for both the client and server to track operations and debug issues. - Optionally, add a user-friendly interface for the client, allowing users to input messages easily. 7. **Testing**: Thoroughly test your application to ensure it works as expected. Test different scenarios including sending large messages, multiple simultaneous connections, and handling errors gracefully. 8. **Documentation**: Write clear documentation explaining how to install, configure, and use the application. Include examples and best practices for deploying and maintaining the application. By following these steps, you’ll not only learn about asynchronous programming and DNS protocols but also gain practical experience with 'PyAsyncDNS'.