aws-resource-validator-resourcegroupstaggingapi

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears generally safe with no direct network calls, shell executions, or credential risks. However, the incomplete author information and low maintainer activity raise some concerns about its trustworthiness.

  • Incomplete author information
  • Low maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer has limited activity, which raises some suspicion but does not strongly 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 (351 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-resourcegroupstaggingapi 
Create a Python-based mini-application that leverages the 'aws-resource-validator-resourcegroupstaggingapi' package to manage and validate AWS resources based on their tags. This application will serve as a powerful tool for DevOps teams and system administrators to ensure compliance with tagging policies across multiple AWS accounts and regions.

Step 1: Setup your environment
- Install necessary packages including 'aws-resource-validator-resourcegroupstaggingapi', 'boto3' for AWS SDK, and 'pydantic' for data validation.
- Configure AWS credentials for accessing the Resource Groups Tagging API.

Step 2: Define the Application's Core Functionality
- Implement a function to fetch all resources within a specified AWS account and region using the Resource Groups Tagging API.
- Use Pydantic models from 'aws-resource-validator-resourcegroupstaggingapi' to validate the fetched resources against predefined tagging policies.

Step 3: Extend Functionality with Additional Features
- Develop a feature to automatically tag resources that do not comply with the tagging policy.
- Integrate logging and error handling to provide detailed feedback on validation results and tagging actions.
- Add a command-line interface (CLI) for easy interaction and automation via scripts.

Step 4: Enhance User Experience
- Provide options to filter resources based on specific tag keys and values.
- Allow users to define custom tagging policies through configuration files or command-line arguments.
- Include a reporting module to generate summaries of validation results and tagging activities.

Utilization of 'aws-resource-validator-resourcegroupstaggingapi':
- Utilize the Pydantic models provided by the package to ensure that the fetched AWS resources adhere to defined tagging schemas.
- Leverage the package's namespace extension capabilities to streamline integration with other AWS-related Python libraries.

💬 Discussion Feed

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