aws-resource-validator-cloudformation

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious intent or unusual behavior. However, the maintainer's account appears to be new or inactive, which introduces a minor level of uncertainty regarding its reliability.

  • No network calls or shell executions detected.
  • Maintainer's account is new or inactive, lacking detailed author information.
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The maintainer has a new or inactive account and lacks author details, which may indicate potential unreliability.

📦 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-cloudformation 
Create a command-line tool named 'CloudFormation Validator' using Python that leverages the 'aws-resource-validator-cloudformation' package to validate AWS CloudFormation templates. This tool will help developers and system administrators ensure their CloudFormation templates adhere to best practices and are free from common errors before deployment. Here’s a detailed breakdown of the project requirements:

1. **Setup**: Begin by installing necessary packages including 'aws-resource-validator-cloudformation', 'click' for command line interface, and 'boto3' for interacting with AWS services.
2. **Template Parsing**: Implement functionality to parse input CloudFormation template files (.json or .yaml) into Python objects using 'aws-resource-validator-cloudformation'.
3. **Validation Rules**: Define a set of validation rules based on common issues found in CloudFormation templates such as missing required parameters, incorrect resource types, or invalid property values. Use the 'aws-resource-validator-cloudformation' models to enforce these rules.
4. **Error Reporting**: Develop a mechanism to report any violations of the defined rules in a user-friendly manner, indicating the specific issue and its location within the template.
5. **Integration with AWS**: Optionally, integrate the tool with AWS services to fetch live data about resources (e.g., checking if a specified S3 bucket exists). This requires setting up AWS credentials properly.
6. **User Interface**: Design a simple yet intuitive CLI interface where users can specify the path to their CloudFormation template file, choose whether to perform a dry run or apply changes directly, and view the results of the validation process.
7. **Documentation**: Write comprehensive documentation explaining how to install the tool, use it effectively, and customize it according to different needs.

This project aims to streamline the process of validating CloudFormation templates, thereby reducing deployment risks and improving overall efficiency in cloud infrastructure management.

💬 Discussion Feed

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