alibabacloud-live20161101

v3.0.0 suspicious
4.0
Medium Risk

Alibaba Cloud ApsaraVideo for Live (20161101) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows an unusual obfuscation pattern that might indicate attempts to obscure code functionality, raising concerns about its true purpose and integrity.

  • Unconventional obfuscation pattern
  • Single package from the author on PyPI
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 no immediate risk of executing system commands.
  • Obfuscation: The obfuscation pattern appears to be an unconventional method for importing and accessing the version of a package, which may indicate an attempt to hide or complicate the codebase.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The author has only one package on PyPI which may indicate a new or less active account, but no other suspicious activities 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 (1175 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
  • 136 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-live20161101 
Create a live streaming management dashboard using the 'alibabacloud-live20161101' Python package. This dashboard will allow users to manage their live streams on Alibaba Cloud, including starting, stopping, and monitoring streams in real-time. The application should have the following functionalities:

1. User Authentication: Implement a simple user authentication system where users can log in and access their live stream management dashboard.
2. Stream Management: Users should be able to start and stop live streams. They should also be able to view a list of all their active and past streams.
3. Real-Time Monitoring: Provide real-time statistics for each live stream, such as viewership count, bitrate, and latency.
4. Customization Options: Allow users to customize their live streams, such as setting up different video layouts, adding overlays, or configuring audio settings.
5. Notifications: Implement notifications for critical events, such as when a stream starts or stops, or if there are any technical issues with the stream.

To achieve these features, you will need to utilize the core functionalities provided by the 'alibabacloud-live20161101' package, which includes methods for managing live streams, such as creating, starting, stopping, and querying streams. Additionally, leverage the package's capabilities for obtaining real-time data about streams, such as viewer counts and stream statuses.

The application should be built using modern web development techniques, including a front-end framework like React or Vue.js, and a back-end framework like Flask or Django. Ensure the application is responsive and provides a user-friendly interface for managing live streams.

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