aws-resource-validator-mediatailor

v2.0.3 suspicious
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across all categories but raises concern due to the maintainer's new or inactive account and lack of a proper author name.

  • Maintainer has a new or inactive account
  • Lack of proper author name
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: 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 definitive 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 (312 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-mediatailor 
Create a Python-based utility named 'MediaTailorChecker' that leverages the 'aws-resource-validator-mediatailor' package to validate and manage AWS MediaTailor resources efficiently. This utility should provide a user-friendly interface to interact with MediaTailor configurations, ensuring they adhere to best practices and standards.

### Features:
1. **Resource Validation**: Implement a function that takes in a MediaTailor resource configuration (e.g., ad decision server, playback configuration) and validates it against predefined schemas using the 'aws-resource-validator-mediatailor' package. This ensures the configurations are syntactically correct and comply with AWS specifications.
2. **Configuration Suggestion**: If any part of the configuration is invalid or missing, the utility should suggest corrections or additional settings to make the configuration valid.
3. **Interactive Mode**: Provide an interactive mode where users can input their configurations directly into the terminal, receive real-time validation feedback, and modify until it passes validation.
4. **Batch Processing**: Allow users to validate multiple configurations at once from a file (JSON format). The utility should output a report indicating which configurations passed validation and which did not, along with reasons for failure.
5. **Documentation Generation**: Automatically generate documentation for each validated configuration in Markdown format, detailing all settings and their values, useful for quick reference or sharing with team members.

### How to Use 'aws-resource-validator-mediatailor':
- Utilize the Pydantic models provided by the package to define your validation schemas.
- For example, you could use the 'PlaybackConfigurationModel' to ensure that all necessary fields are present and correctly formatted in a given playback configuration.
- Use the package's validation capabilities to check if user inputs meet AWS MediaTailor requirements before attempting to deploy them.
- Leverage the error messages and suggestions provided by the package to guide users on how to fix invalid configurations.

This project aims to streamline the process of working with AWS MediaTailor resources, making it easier for developers and administrators to ensure their configurations are correct and up-to-date.

💬 Discussion Feed

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