alibabacloud-cms20190101

v4.0.9 suspicious
5.0
Medium Risk

Alibaba Cloud Cloud Monitor (20190101) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits unusual obfuscation practices without clear justification, raising concerns about potential hidden functionality or tampering.

  • Unusual obfuscation pattern
  • No clear explanation provided for obfuscation
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: The observed obfuscation pattern is unusual but not necessarily indicative of malicious intent; it could be an unconventional way to import and manage version information.
  • Credentials: No suspicious patterns related to credential harvesting were 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
  • 152 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-cms20190101 
Create a Python-based monitoring dashboard for your Alibaba Cloud resources using the 'alibabacloud-cms20190101' package. This dashboard will allow users to monitor various metrics such as CPU usage, network traffic, and disk I/O in real-time. Your task is to develop a simple web application using Flask that integrates with the Cloud Monitor service to retrieve and display this information.

Step 1: Set up your development environment with Python, Flask, and the 'alibabacloud-cms20190101' package.

Step 2: Configure the application to authenticate with Alibaba Cloud services using AccessKey ID and AccessKey Secret.

Step 3: Implement functions to fetch real-time monitoring data from specific Alibaba Cloud services (e.g., ECS instances).

Step 4: Design and implement a user-friendly interface using HTML/CSS/JavaScript to display the monitoring data in charts and graphs.

Suggested Features:
- Real-time graph updates for CPU usage, network traffic, and disk I/O.
- Historical data comparison over a selected time period.
- Notifications for predefined thresholds being exceeded.
- Ability to filter and select different Alibaba Cloud resources for monitoring.

How to Utilize 'alibabacloud-cms20190101':
- Use the 'alibabacloud-cms20190101' package to interact with the Cloud Monitor API endpoints. Specifically, use the 'GetMetricStatistics' method to request metric data.
- Handle authentication through the package's built-in support for AccessKeys.
- Parse and process the returned data to extract relevant monitoring metrics.
- Ensure the application securely handles sensitive information like AccessKeys.

💬 Discussion Feed

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