aws-resource-validator-repostspace

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell, obfuscation, and credential handling. However, the metadata risk score of 3 out of 10 due to sparse author information and possibly inactive account raises some concerns about potential supply-chain attacks.

  • Sparse author information
  • Possibly inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution observed.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is sparse and the account seems new or inactive, raising some suspicion but not conclusive 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-repostspace 
Create a Python-based CLI tool named 'ResourceValidator' that leverages the 'aws-resource-validator-repostspace' package to validate AWS resources against their respective schemas. This tool should provide a comprehensive way for developers and DevOps engineers to ensure their AWS resource configurations are compliant with the official AWS specifications before deployment. Here are the steps and features your project should include:

1. **Setup**: Start by installing the necessary packages including 'aws-resource-validator-repostspace'. Ensure you have a virtual environment set up for development.
2. **CLI Design**: Design a user-friendly command-line interface where users can specify the AWS resource type they want to validate and provide the path to the configuration file.
3. **Validation Logic**: Implement validation logic using the Pydantic models provided by 'aws-resource-validator-repostspace'. Your tool should be able to read the configuration file, map it to the corresponding model, and validate if the configuration adheres to the schema.
4. **Error Handling**: Provide meaningful error messages when the validation fails, indicating which fields or constraints were not met.
5. **Output**: Upon successful validation, the tool should output a confirmation message. If there are issues, it should detail them clearly.
6. **Extensibility**: Make sure your tool is extensible so that new AWS resource types can be easily added to the validation process without major code changes.
7. **Testing**: Include a suite of tests to verify that the validation works as expected for various AWS resource types and configurations.
8. **Documentation**: Write clear documentation on how to install and use the tool, including examples of valid and invalid configurations.

This project will serve as a powerful tool for ensuring the integrity and compliance of AWS resource configurations, potentially saving time and preventing errors during the deployment phase.

💬 Discussion Feed

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