aws-resource-validator-kinesisvideo

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risk indicators such as no network calls or shell executions. However, the metadata risk due to the maintainer's new or inactive account and lack of proper author information raises some suspicion, warranting further investigation.

  • Low direct risk indicators
  • Metadata risk due to maintainer's profile
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally without reason.
  • Shell: No shell execution patterns indicate that the package does not execute system commands, reducing potential risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of 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 (315 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-kinesisvideo 
Create a Python-based monitoring tool named 'KinesisVideoInspector' that leverages the 'aws-resource-validator-kinesisvideo' package to validate and manage resources related to Amazon Kinesis Video Streams. This tool will serve as a comprehensive utility for developers and system administrators to ensure their Kinesis Video Streams configurations adhere to best practices and AWS standards. The application should include the following core functionalities:

1. **Resource Validation**: Implement a feature that allows users to input their Kinesis Video Stream configurations. Use the Pydantic models provided by 'aws-resource-validator-kinesisvideo' to validate these configurations against AWS standards.
2. **Configuration Suggestion**: If the configuration does not meet the validation criteria, the tool should suggest adjustments to bring it into compliance.
3. **Stream Management**: Enable users to create, update, and delete Kinesis Video Streams directly from the tool, ensuring all actions comply with the validated configurations.
4. **Health Checks**: Integrate functionality to perform health checks on existing streams, using the validation models to assess stream status and performance.
5. **Report Generation**: Provide an option to generate detailed reports summarizing the current state of Kinesis Video Streams, including any deviations from optimal configurations and suggestions for improvement.

The 'aws-resource-validator-kinesisvideo' package will play a crucial role in defining and validating the structure and content of Kinesis Video Stream configurations, ensuring they align with AWS specifications and best practices. By utilizing this package, 'KinesisVideoInspector' aims to streamline the management and optimization of Kinesis Video Streams, enhancing operational efficiency and data integrity.

💬 Discussion Feed

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