🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its network interactions and suspicious metadata, though there's no concrete evidence of malicious activity.

Network interactions present
Suspicious metadata including non-HTTPS links

Per-check LLM notes

Network: The package establishes network connections which seem to be for authentication and potentially AMQP communication, indicating it may be designed for some form of network interaction.
Shell: No shell execution patterns were detected in the provided code snippets.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No secret harvesting patterns detected, suggesting legitimate usage without credential risks.
Metadata: Suspicious non-HTTPS link and lack of GitHub repo suggest potential risk, but limited evidence of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

enSettings session = requests.Session() session.headers = TokenSettings().get_headers()
try: response = requests.post(token_url, data=payload) response.raise_for_stat
tp_client if http_client else httpx.AsyncClient(headers=headers) ) self.ws_url = ws_url
amqp.get_url() async with httpx.AsyncClient( base_url=f"http://{amqp.host}:15672/api/",
t=10) self._session = aiohttp.ClientSession(connector=connector) async def aclose(self) -> None:

✓ 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: magenta.dk

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://example.org

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Magenta ApS" 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 FastRAMQPI

Your task is to develop a simple yet powerful mini-application called 'Integration Hub' using the Python package 'FastRAMQPI'. This application will serve as a bridge between various systems, enabling seamless data exchange and process automation across different departments within an organization. Your goal is to create an intuitive interface where users can define integration flows, monitor ongoing processes, and troubleshoot any issues that arise.

### Features of Integration Hub:
- **Flow Designer**: A visual tool allowing users to drag-and-drop components to design custom integration workflows. Users should be able to connect different endpoints, such as databases, APIs, or file systems, and specify actions like reading, writing, or transforming data.
- **Runtime Management**: An interface to start, stop, and monitor active workflows. Users should be able to see real-time status updates, logs, and error messages.
- **Configuration Editor**: A settings panel where users can manage connection details, authentication tokens, and other parameters required for each endpoint.
- **Dashboard**: A summary view showing the overall health of all active workflows, including success rates, execution times, and alerts for potential issues.
- **Documentation and Help**: Comprehensive guides and FAQs to help users understand how to use each feature effectively.

### Utilizing FastRAMQPI:
FastRAMQPI is designed to simplify the process of integrating diverse systems. In your application, you'll leverage its core capabilities to handle the heavy lifting behind the scenes:
- Use FastRAMQPI's framework to define and execute the integration flows designed by users in the Flow Designer.
- Leverage FastRAMQPI's built-in connectors for common systems and services to ensure compatibility and ease of setup.
- Implement FastRAMQPI's monitoring and logging features to provide real-time feedback and troubleshooting information.
- Utilize FastRAMQPI's configuration management tools to securely store and retrieve connection details without exposing sensitive information.

Your challenge is to craft a user-friendly and efficient application that demonstrates the power and flexibility of FastRAMQPI while providing value to businesses looking to streamline their operations through better system integration.