aws-resource-validator-imagebuilder

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity, with minimal risks across all categories assessed. The metadata risk is slightly elevated due to the author's limited presence, but this alone does not indicate a supply-chain attack.

  • No network calls detected
  • No shell execution patterns
  • No obfuscation or credential harvesting patterns
  • Metadata risk due to author's limited presence
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • 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 name is missing or very short, and the author has only one package, indicating a potentially new or inactive account.

📦 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-imagebuilder 
Create a Python-based utility named 'ImageBuilderValidator' that leverages the 'aws-resource-validator-imagebuilder' package to validate and manage Amazon Image Builder resources. This utility should enable users to perform the following tasks:

1. **Resource Validation**: Users should be able to input AWS Image Builder resource configurations (such as component definitions, pipeline configurations, and distribution configurations). The utility will then use the Pydantic models provided by 'aws-resource-validator-imagebuilder' to validate these configurations against the AWS Image Builder service schema.

2. **Configuration Parsing**: The tool should support parsing configuration files in YAML format, which can contain multiple resource definitions. It should also allow users to specify individual resource types for validation.

3. **Error Reporting**: If any configuration fails validation, the utility must provide detailed error messages indicating which fields are incorrect or missing. Additionally, it should suggest corrections based on the AWS Image Builder documentation where possible.

4. **Interactive Mode**: For ease of use, include an interactive mode that prompts users for required information if the configuration file is incomplete or missing specific details necessary for validation.

5. **Output Formats**: After successful validation, the utility should offer options to output the validated configuration in different formats such as YAML, JSON, or even a simple text summary. This feature is useful for generating ready-to-use configurations or for debugging purposes.

6. **Integration with AWS**: Optionally, the utility could integrate with AWS services to fetch the latest schema versions dynamically. This ensures that the validation process always adheres to the most current AWS specifications.

7. **CLI Interface**: Develop a command-line interface (CLI) for the utility that supports various commands like 'validate', 'parse', 'report', etc., making it easy for users to interact with the tool from their terminal.

The 'aws-resource-validator-imagebuilder' package will be primarily used for defining and validating the structure and content of AWS Image Builder resources. By leveraging its Pydantic models, you ensure that all configurations adhere strictly to the AWS specifications, reducing errors and improving the reliability of your automated workflows.

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