amsdal_server

v0.9.0 suspicious
6.0
Medium Risk

Rest API server for AMSDAL framework

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a high level of obfuscation risk and lacks essential metadata, raising concerns about its legitimacy and potential for hidden malicious behavior.

  • High obfuscation risk due to the use of eval() with base64 decoding
  • Lack of maintainer information and a GitHub repository
Per-check LLM notes
  • Network: The use of httpx for making network calls is common and could be legitimate depending on the package's functionality.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The use of eval() alongside base64 decoding is highly suspicious and could indicate an attempt to hide code execution.
  • Credentials: No direct evidence of credential harvesting was found, but further investigation may be required to rule out indirect methods.
  • Metadata: The package shows some red flags due to the lack of maintainer information and a GitHub repository, but there's no clear evidence of malicious intent.

📦 Package Quality Overall: Medium (5.0/10)

◈ 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://pypi.org/project/amsdal_server/#readme
  • Detailed PyPI description (27723 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 98 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ) async with httpx.AsyncClient(timeout=5.0) as client: response = await cli
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • pted data _data = base64.b64decode(eval(_data)) # noqa: S307 except SyntaxError:
  • _data = base64.b64decode(eval(_data)) # noqa: S307 except SyntaxError:
✓ 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: amsdal.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 amsdal_server 
Your task is to develop a mini-application called 'AMS Health Monitor' using the Python package 'amdal_server'. This application will serve as a health monitoring system for a fleet of devices connected via the AMSDAL framework. It should provide real-time status updates, alert notifications, and historical data analysis capabilities.

Here’s a step-by-step guide on what your application should do:
1. Set up an AMSDAL Rest API server using the 'amdal_server' package. Ensure the server can handle multiple device connections and data streams efficiently.
2. Implement a feature where each device sends its health status (e.g., temperature, battery level, operational status) to the server at regular intervals.
3. Develop a dashboard interface that displays real-time health statuses of all connected devices. This should include visual indicators for critical alerts (e.g., red for critical issues).
4. Create an alert system within the application that triggers notifications (via email or SMS) when a device reports a critical issue.
5. Integrate a historical data storage mechanism so that users can review past statuses and identify trends over time.
6. Finally, add a reporting feature that generates detailed reports based on user-defined criteria (e.g., date range, specific device IDs).

Suggested Features:
- User authentication and authorization to ensure only authorized personnel can access the dashboard and report generation tools.
- Customizable alert thresholds for different types of health statuses.
- Mobile app support for receiving alerts and viewing dashboards on-the-go.
- Integration with popular cloud services for easy deployment and scalability.

Remember to utilize the 'amdal_server' package effectively by leveraging its core functionalities to manage API requests, handle device connections, and process data streams efficiently.

💬 Discussion Feed

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