aliyun-log-python-sdk

v0.9.47 safe
2.0
Low Risk

Aliyun log service Python client SDK

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk indicators across all categories, with no signs of malicious activity. The metadata risk is slightly elevated due to the author's single package, but this alone does not suggest malice.

  • No network calls detected
  • No shell execution patterns
  • Dynamic imports likely for legitimate use
  • Low credential risk
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a logging SDK.
  • Shell: No shell execution patterns detected, aligning with the expected behavior for a logging SDK.
  • Obfuscation: The observed patterns appear to be related to standard Python module handling and dynamic imports, likely not malicious obfuscation.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.
  • Metadata: The author has only one package, which might indicate a new or less active account but does not strongly suggest malicious intent.

📦 Package Quality Overall: Low (4.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 16 unique contributor(s) across 100 commits in aliyun/aliyun-log-python-sdk
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • __path__ = __import__('pkgutil').extend_path(__path__, __name__) from .logclient import Log
  • try: md = __import__(module_name) except ImportError as ex: logge
  • deflate'): return zlib.decompress(response) raise LogException('UnsupportedCompressTy
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aliyun/aliyun-log-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Aliyun" 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 aliyun-log-python-sdk 
Create a real-time log monitoring and alerting tool using the 'aliyun-log-python-sdk' package. This application will allow users to connect to their Aliyun Log Service, monitor specific log streams in real time, and set up alerts based on predefined conditions such as error occurrence, request latency, or custom metrics. Here’s a step-by-step guide on how to build this tool:

1. **Project Setup**: Initialize a new Python project and install the necessary dependencies, including 'aliyun-log-python-sdk'.
2. **Authentication & Connection**: Implement authentication mechanisms to securely connect to the user's Aliyun Log Service. Use the SDK to establish a connection to the specified log project and store.
3. **Log Stream Monitoring**: Develop functionality to continuously fetch and display logs from selected streams in real-time. Utilize the SDK's capabilities to efficiently handle large volumes of log data.
4. **Alert System**: Design an alert system that triggers notifications (via email, SMS, etc.) when certain conditions are met. For example, if there are more than X errors in Y minutes or if the average request latency exceeds Z seconds.
5. **User Interface**: Create a simple but intuitive command-line interface (CLI) or a basic web frontend using Flask or Django where users can manage their connections, configure alerts, and view log summaries.
6. **Configuration Management**: Allow users to save their settings and configurations locally or remotely for easy access and modification.
7. **Testing & Deployment**: Thoroughly test your application under various scenarios to ensure reliability and performance. Consider deploying it on a cloud platform like ECS or Kubernetes for wider accessibility.

By utilizing 'aliyun-log-python-sdk', you'll be able to leverage powerful logging functionalities provided by Aliyun while focusing on building a robust and user-friendly monitoring solution.