AI Analysis
The package exhibits high risks related to network and shell command execution, with no clear maintainer history or author details, raising concerns about its legitimacy and potential for misuse.
- High network risk
- Potential for executing arbitrary shell commands
- Lack of maintainer history and author details
Per-check LLM notes
- Network: The package attempts to establish network connections and fetch resources from remote servers, which may indicate data exfiltration or C2 activities.
- Shell: Executing commands via Popen can be a red flag as it allows the package to run arbitrary shell commands, potentially leading to system compromise.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is suspicious due to the lack of maintainer history and author details, indicating potential risk.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (709 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
7 type-annotated function signatures (partial)
Limited contributor diversity
2 unique contributor(s) across 12 commits in Abodx9/A-tunnelTwo distinct contributors found
Heuristic Checks
Found 3 network call pattern(s)
> bool: try: with socket.create_connection((host, port), timeout=timeout): return Trues.close(tmp_fd) req = urllib.request.Request(url, headers={"User-Agent": "atunnel/1.0"})"atunnel/1.0"}) with urllib.request.urlopen(req, timeout=60) as resp: with open(tmp_
No obfuscation patterns detected
Found 1 shell execution pattern(s)
te"] self._process = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmx.de>
All external links appear legitimate
Repository Abodx9/A-tunnel appears legitimate
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 simple yet powerful web application using Python that leverages the 'atunnel' package to expose local web servers to the public internet through Cloudflare's Quick Tunnels service. This application will serve as a versatile development tool for testing locally-hosted websites and applications in a live environment without the need for traditional domain names or IP addresses. Steps to develop the application: 1. Set up a basic Flask or Django web server running on your local machine. 2. Integrate the 'atunnel' package into your project to automatically create a tunnel to Cloudflare's network whenever the web server starts. 3. Implement a user-friendly interface that displays the URL of the exposed web server in real-time. 4. Add functionality to start, stop, and manage multiple tunnels simultaneously. 5. Include options to customize the tunnel settings such as enabling/disabling HTTPS support and setting up custom subdomains if available. 6. Ensure the application logs any errors or important events related to tunnel creation and management for debugging purposes. 7. Finally, wrap the entire setup into a single executable script or a graphical user interface for easy deployment and use. Suggested Features: - Automatic tunnel creation upon starting the local web server. - Real-time status updates of the tunnels including URLs and connection statuses. - Support for managing multiple tunnels with separate configurations. - Option to enable/disable HTTPS for each tunnel. - Customizable logging system to track tunnel activities and issues. - User-friendly GUI or command-line interface for ease of use.
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