aws-resource-validator-kinesis-video-webrtc-storage

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS kinesis_video_webrtc_storage, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network, shell, and obfuscation activities. However, the metadata risk due to incomplete author information and potentially inactive account raises some suspicion, warranting further investigation.

  • Incomplete author information
  • Potentially inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the account seems new or inactive, which raises some concerns but not enough to strongly suggest malice.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

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

Some documentation present

  • Brief PyPI description (363 chars)
○ 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 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aws-resource-validator-kinesis-video-webrtc-storage 
Create a real-time video streaming application using WebRTC and Kinesis Video Streams, leveraging the 'aws-resource-validator-kinesis-video-webrtc-storage' package for resource validation. This application will allow users to stream live video from their webcam to a server, where it will be processed and stored in Kinesis Video Streams. The application will also include a viewer component that allows authenticated users to watch the live stream. Here are the steps to follow:

1. Set up a Python environment with Flask for the backend, React for the frontend, and Boto3 for AWS services integration.
2. Install the 'aws-resource-validator-kinesis-video-webrtc-storage' package to validate the configuration of AWS resources related to Kinesis Video Streams.
3. Use WebRTC to capture video from the user's webcam and send it to the server via a WebSocket connection.
4. Implement a Flask route to receive the video data and use Boto3 to upload it to Kinesis Video Streams.
5. Validate the AWS resources before uploading any data to ensure they meet the necessary requirements for storing WebRTC streams.
6. Create a React component that connects to the same WebSocket to receive the live stream and display it on the webpage.
7. Add authentication to the viewer component to restrict access to authorized users only.
8. Implement error handling and logging to monitor the application's performance and troubleshoot issues.
9. Test the application thoroughly, ensuring that the video streams are transmitted smoothly and securely.
10. Document the setup process, including how to install dependencies and configure AWS resources using the 'aws-resource-validator-kinesis-video-webrtc-storage' package.

Suggested features for the application include support for multiple concurrent streams, recording capabilities, and a dashboard to monitor the status of each stream. Utilize the 'aws-resource-validator-kinesis-video-webrtc-storage' package throughout the development process to maintain high standards of resource configuration and security.

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