alibabacloud-cms20240330

v9.2.2 suspicious
6.0
Medium Risk

Alibaba Cloud Cloud Monitor (20240330) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows an unusual level of obfuscation which might indicate an attempt to conceal its true functionality or behavior. Further investigation is required to understand the nature of this obfuscation.

  • Unusual obfuscation pattern
  • No clear signs of malicious activities
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution is occurring.
  • Obfuscation: The observed obfuscation pattern is unusual and may indicate an attempt to hide code behavior, but it could also be a non-standard way of handling version imports.
  • Credentials: No clear signs of credential harvesting detected.

📦 Package Quality Overall: Low (4.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1171 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
  • 217 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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 alibabacloud-cms20240330 
Create a monitoring dashboard app using the 'alibabacloud-cms20240330' Python package. This application will serve as a real-time health check tool for various Alibaba Cloud services and resources. Here’s a detailed breakdown of what your application should accomplish:

1. **Authentication**: Implement user authentication using Alibaba Cloud Access Keys or RAM credentials.
2. **Dashboard Interface**: Develop a simple web-based dashboard using Flask or Django, which allows users to view metrics such as CPU usage, memory usage, network traffic, etc., for their Alibaba Cloud instances.
3. **Data Fetching**: Utilize the 'alibabacloud-cms20240330' package to fetch real-time and historical data from Cloud Monitor. Ensure the data includes critical performance indicators like CPU utilization, disk I/O, network bandwidth usage, etc.
4. **Visualization**: Integrate a lightweight charting library like Plotly or Matplotlib to visualize the fetched data on the dashboard.
5. **Alerts & Notifications**: Implement a feature where users can set up alerts for specific thresholds (e.g., if CPU usage exceeds 80%). When these conditions are met, send notifications via email or SMS using Alibaba Cloud Message Service (MNS).
6. **Custom Metrics**: Allow users to add custom metrics if they have additional data sources they wish to monitor through Cloud Monitor.
7. **Documentation**: Provide comprehensive documentation on how to install dependencies, configure the app, and use it effectively.

The 'alibabacloud-cms20240330' package will be the backbone of your data fetching functionality. Make sure to explore its methods and capabilities thoroughly to maximize the utility of your monitoring dashboard.

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