aws-resource-validator-vpc-lattice

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity, but the incomplete maintainer's author information and potential inactivity raise concerns about its provenance and ongoing support.

  • Incomplete maintainer's author information
  • Potential inactivity of the maintainer
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 risk of command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The maintainer's author information is incomplete and they appear to be new or inactive, raising some concerns 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-vpc-lattice 
Create a Python-based CLI tool named 'VPC-Lattice-Inspector' that leverages the 'aws-resource-validator-vpc-lattice' package to validate and inspect AWS VPC Lattice resources. This tool will be particularly useful for DevOps engineers and cloud administrators who need to ensure their VPC Lattice configurations comply with specific standards or best practices.

Step-by-step guide:
1. Install the required packages, including 'aws-resource-validator-vpc-lattice', 'boto3' for AWS SDK, and 'click' for creating a CLI interface.
2. Define a set of validation rules based on common best practices for VPC Lattice resources using the Pydantic models provided by 'aws-resource-validator-vpc-lattice'. These rules should cover aspects such as security group configurations, network ACLs, and access policies.
3. Implement a function that retrieves VPC Lattice resources from an AWS account using boto3, then validates these resources against the defined rules.
4. Develop a CLI that allows users to specify which VPC Lattice resources they want to inspect and apply the validation rules to.
5. Provide feedback through the CLI interface about whether each resource passes or fails the validation tests, along with any relevant details or suggestions for improvement.
6. Add optional features such as generating a report in CSV or JSON format summarizing the validation results, or setting up automated validation via scheduled tasks.
7. Ensure your code is well-documented and includes examples in the README file on how to use the CLI tool effectively.

💬 Discussion Feed

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