alibabacloud-sysom20231230

v1.18.0 suspicious
4.0
Medium Risk

Alibaba Cloud SysOM (20231230) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of obfuscation, which could be an attempt to conceal its true functionality or dependencies. Further investigation is needed to rule out any potential supply-chain risks.

  • Obfuscation risk observed
  • Single package from maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk of unauthorized command execution.
  • Obfuscation: The obfuscation pattern may indicate an attempt to hide the true nature of the package's dependencies or versioning mechanism, but it is not conclusively malicious without further context.
  • Credentials: No clear evidence of credential harvesting patterns detected.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 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 (1179 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
  • 144 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-sysom20231230 
Create a monitoring dashboard tool using the 'alibabacloud-sysom20231230' Python package. This tool will allow users to monitor various system metrics such as CPU usage, memory usage, disk space, network traffic, and other performance indicators of their Alibaba Cloud instances in real-time. The application should provide a user-friendly interface where users can select which instances they want to monitor, set thresholds for alerts, and view historical data trends. Additionally, the tool should be able to send email notifications when certain performance thresholds are exceeded. Here’s a step-by-step guide on how to build this application:

1. **Setup Project Environment**: Begin by setting up your development environment with Python installed and creating a virtual environment. Install the necessary packages including 'alibabacloud-sysom20231230', Flask for web development, and any other required libraries.

2. **Authentication and Initialization**: Use the 'alibabacloud-sysom20231230' package to authenticate with Alibaba Cloud and initialize the SysOM client. Ensure that you handle credentials securely, possibly through environment variables or a configuration file.

3. **Data Collection**: Implement functions to collect system metrics from selected instances using the SysOM client. This includes fetching CPU usage, memory usage, disk space, and network traffic details.

4. **Web Interface Development**: Develop a simple yet effective web interface using Flask. Users should be able to log in, select instances to monitor, set alert thresholds, and view current and historical data.

5. **Real-Time Monitoring**: Integrate real-time monitoring capabilities into the application. Display collected data in real-time on the dashboard and implement functionalities to update data periodically without requiring manual refreshes.

6. **Alert System**: Configure an alert system within the application. When a threshold defined by the user is breached, the application should trigger an email notification using an SMTP service.

7. **Historical Data Analysis**: Provide options for users to analyze historical data. Implement features that allow users to view graphs and charts representing past data trends over different time periods.

8. **Testing and Deployment**: Thoroughly test all components of the application to ensure reliability and functionality. Once tested, deploy the application on a server or cloud platform for public access.

By following these steps and utilizing the 'alibabacloud-sysom20231230' package effectively, you will create a powerful monitoring tool tailored specifically for managing Alibaba Cloud resources.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!