aws-resource-validator-apigateway

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of immediate harm with low scores across network, shell, obfuscation, and credential risks. However, the incomplete metadata and possibly inactive maintenance status raise concerns about its long-term security and support.

  • Incomplete author information
  • Possibly inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is expected for a package focused on validating AWS API Gateway resources locally.
  • Shell: No shell execution patterns detected, aligning with the expected behavior of a non-executable Python library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
  • Metadata: The author's information is incomplete, and the maintainer seems new or inactive, raising some suspicion but not enough to conclusively indicate 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 (309 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-apigateway 
Create a mini-application called 'API Gateway Validator' which aims to streamline the validation process of API Gateway resources defined in AWS CloudFormation templates. This application will leverage the 'aws-resource-validator-apigateway' Python package to ensure the integrity and correctness of the API Gateway resource definitions. The application should be designed to accept a CloudFormation template file as input and output a report indicating whether each API Gateway resource within the template adheres to the expected schema defined by 'aws-resource-validator-apigateway'.

### Key Features:
- **Template Parsing**: The application should parse the provided CloudFormation template and extract all API Gateway related resources.
- **Validation Engine**: Utilize the 'aws-resource-validator-apigateway' package to validate each extracted API Gateway resource against the predefined schemas.
- **Report Generation**: After validation, generate a comprehensive report that lists each resource, its status (valid/invalid), and any specific errors found during validation.
- **User Interface**: Provide a simple command-line interface for users to interact with the application.
- **Error Handling**: Implement robust error handling to manage cases where the input file is invalid, the parsing fails, or the validation encounters unexpected issues.
- **Configuration Options**: Allow users to specify additional configuration options such as specifying custom schemas or enabling/disabling certain validation checks.

### Steps to Create the Application:
1. **Set Up Project Structure**: Initialize a new Python project and install the required packages including 'aws-resource-validator-apigateway'.
2. **Define Input Parsing Functionality**: Develop functions to read and parse CloudFormation templates, focusing on extracting API Gateway resource definitions.
3. **Integrate Validation Logic**: Use the 'aws-resource-validator-apigateway' package to integrate validation logic into your application. Ensure you understand how to apply the package’s models effectively.
4. **Implement Reporting Mechanism**: Design and implement a reporting mechanism that outputs validation results clearly and concisely.
5. **Develop Command-Line Interface**: Create a user-friendly CLI using Python’s argparse module to facilitate interaction with the application.
6. **Enhance with Configuration Options**: Add support for configuration options through command-line arguments or environment variables.
7. **Test Thoroughly**: Write unit tests to cover different scenarios including valid and invalid inputs, edge cases, and various configurations.
8. **Document Your Work**: Provide clear documentation detailing how to use the application, including examples and explanations of the validation process.

This project will not only demonstrate practical usage of the 'aws-resource-validator-apigateway' package but also serve as a useful tool for developers working with AWS API Gateway and CloudFormation.

💬 Discussion Feed

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