aws-resource-validator-mediapackagev2

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS mediapackagev2, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks but has a higher metadata risk due to an incomplete and potentially inactive maintainer profile, which raises some suspicion.

  • Low network, shell, obfuscation, and credential risks
  • Higher metadata risk due to incomplete maintainer profile
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 command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, which could indicate potential risk.

📦 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 (321 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-mediapackagev2 
Create a mini-application called 'MediaPackageValidator' that leverages the 'aws-resource-validator-mediapackagev2' Python package to validate configurations for AWS MediaPackage V2 resources. This tool will be particularly useful for developers and DevOps engineers who need to ensure their MediaPackage V2 configurations adhere to AWS best practices and standards.

The application should have the following core functionalities:
1. **Configuration Parsing**: Allow users to input a JSON configuration file that specifies various AWS MediaPackage V2 resource settings.
2. **Validation Logic**: Use the Pydantic models provided by the 'aws-resource-validator-mediapackagev2' package to validate the parsed configuration against AWS MediaPackage V2 schema requirements.
3. **Feedback Mechanism**: Provide clear feedback to the user about whether the configuration is valid or not, and if invalid, specify which fields or sections are causing issues.
4. **Optional Enhancements**: Consider adding features such as auto-correction suggestions for common validation errors, integration with AWS CLI commands to test configurations directly on AWS, and support for multiple configuration files at once.

The process of building this application should include the following steps:
1. **Setup Environment**: Install necessary Python packages including 'aws-resource-validator-mediapackagev2', 'pydantic', and any other dependencies required for reading and parsing JSON files.
2. **Design User Interface**: Develop a simple command-line interface (CLI) where users can interact with the tool by specifying the path to their configuration file.
3. **Implement Validation Logic**: Utilize the Pydantic models from 'aws-resource-validator-mediapackagev2' to define validation rules and implement the logic to check the configuration against these rules.
4. **Develop Feedback System**: Create a system to output validation results clearly, indicating success or failure along with detailed error messages for invalid configurations.
5. **Enhance Functionality**: Optionally, add more advanced features based on the user needs identified during development, such as automatic correction suggestions or batch processing capabilities.

💬 Discussion Feed

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