aws-resource-validator-serverlessrepo

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks such as no network calls, shell execution, obfuscation, or credential harvesting. However, the missing maintainer information and potential inactivity raise concerns about its provenance and maintenance.

  • Missing maintainer's author name
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local validation of AWS resources.
  • Shell: No shell execution patterns detected, aligning with expectations for a package aimed at validating serverless AWS resources.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and they appear to be new or inactive, which raises some suspicion but does not conclusively indicate malicious intent.

📦 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-serverlessrepo 
Create a command-line tool named 'ServerlessRepoValidator' using Python that leverages the 'aws-resource-validator-serverlessrepo' package to validate Serverless Application Model (SAM) templates against AWS Serverless Application Repository resources. This tool will help developers ensure their SAM templates are correctly referencing available resources in the Serverless Application Repository before deploying their applications. Here’s a step-by-step guide on how to develop this tool:

1. **Setup Project Environment**: Initialize a new Python virtual environment and install necessary dependencies including 'aws-resource-validator-serverlessrepo', 'boto3' for AWS interactions, and 'click' for command-line interface.
2. **Define CLI Commands**: Use 'click' to define commands such as 'validate', 'list-applications', and 'check-application'.
3. **Integrate AWS API Calls**: Implement functions to interact with AWS Serverless Application Repository APIs through 'boto3'. These functions should be able to fetch application metadata and list available applications.
4. **Validation Logic**: Utilize 'aws-resource-validator-serverlessrepo' to parse and validate SAM templates against the fetched AWS Serverless Application Repository resources. Ensure your validation logic checks for correct resource references, version compatibility, and other relevant constraints.
5. **Error Handling & Logging**: Implement robust error handling to manage invalid inputs, network issues, and API errors gracefully. Also, include logging to track the execution flow and potential issues.
6. **User Interface**: Design a user-friendly CLI output for the validation results, listing any discrepancies found in the SAM template.
7. **Testing**: Write unit tests for all your functions to ensure they work as expected under various scenarios. Include integration tests to verify the interaction with AWS services.
8. **Documentation**: Provide comprehensive documentation on how to install and use the tool, including examples of valid and invalid SAM templates.

Suggested Features:
- Support for both local file paths and remote URLs for SAM templates.
- Option to specify regions when fetching applications from the Serverless Application Repository.
- Detailed reports on validation failures, including line numbers and specific issues.
- Automatic detection of required AWS credentials (e.g., from environment variables).

This project will serve as a valuable pre-deployment check for developers working with AWS Serverless technologies.

💬 Discussion Feed

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