AI Analysis
Final verdict: SAFE
The package is considered safe with minimal risks identified. While there is a moderate risk associated with shell execution, overall the package shows no signs of malicious activity.
- Moderate shell risk due to potential command execution
- Low risk in terms of network, obfuscation, and credential handling
Per-check LLM notes
- Network: Network calls to PyPI are standard for fetching package information and dependencies.
- Shell: Shell execution may be used for running commands within the context of OctoPrint's functionality but requires caution as it can pose security risks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags are present.
Heuristic Checks
Outbound Network Calls
score 9.0
Found 6 network call pattern(s)
def browse(): socket.setdefaulttimeout(timeout) search_message = "".join(om io import BytesIO socket.setdefaulttimeout(timeout) location_message = "".join( [rement(r) resp = requests.get( self.PYPI.format(package=requirement.name),try: r = requests.get(url, timeout=timeout) result = process_blackliste.monotonic() r = requests.get(url, timeout=3.05) r.raise_for_status()user response = requests.post( f"{octoprint_url}/plugin/appkeys/request",
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 4.0
Found 2 shell execution pattern(s)
s" % dispcmd) p = subprocess.Popen( [c] + list(args), cwd=cwd,) subprocess.check_call(cmd, shell=self.shell, cwd=self.cwd) except subp
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: octoprint.org
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository OctoPrint/OctoPrint appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Gina Häußge" 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 OctoPrint
Create a web-based dashboard for managing and monitoring multiple 3D printers using the OctoPrint API. This application will allow users to remotely control their printers, view live camera feeds, monitor print progress, and manage files directly from their browsers. Here’s a step-by-step guide on how to develop this mini-app: 1. **Setup Environment**: Begin by setting up a Python development environment with Flask or Django for the backend. Ensure you have the `requests` library installed for making HTTP requests. 2. **API Integration**: Integrate with the OctoPrint API to access its functionalities. Use the official documentation to understand how to authenticate and interact with the API endpoints. 3. **User Interface**: Design a simple yet effective user interface using HTML, CSS, and JavaScript (with frameworks like React or Vue.js if preferred). The UI should include sections for printer status, file management, print job control, and live camera feed. 4. **Printer Control**: Implement features to start, pause, resume, and cancel print jobs. Also, add functionality to set the temperature of the hotend and bed. 5. **File Management**: Allow users to upload G-code files directly to the printer via the dashboard. Additionally, provide options to delete files and rename them. 6. **Monitoring**: Display real-time data such as print progress, estimated time remaining, and current temperatures. Include a section for live camera feed from the printer’s webcam. 7. **Multiple Printers Support**: Extend the application to support multiple printers. Users should be able to switch between different printers easily and manage each one independently. 8. **Security**: Ensure that all interactions with the OctoPrint API are secure. Use HTTPS and handle authentication securely. 9. **Testing**: Thoroughly test the application with different scenarios to ensure reliability and robustness. 10. **Deployment**: Deploy the application on a server accessible over the internet. Consider using cloud services for hosting. This project leverages OctoPrint’s powerful API to provide a comprehensive solution for 3D printer enthusiasts, enabling them to manage their printers more efficiently from anywhere.