aws-resource-validator-b2bi

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS b2bi, 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 calls, shell execution, and obfuscation. However, the metadata risk due to the maintainer's new or inactive account and lack of proper author details raises concerns about potential supply-chain attacks.

  • Metadata risk due to new/inactive maintainer account
  • Lack of proper author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not definitive 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 (291 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-b2bi 
Create a command-line utility named 'B2BIResourceChecker' that leverages the 'aws-resource-validator-b2bi' package to validate resources related to AWS Business-to-Business Integration (B2BI). This utility should allow users to input or upload resource configurations in JSON format and then validate these configurations against the Pydantic v2 models provided by the 'aws-resource-validator-b2bi' package. Here are the steps and features your utility should include:

1. **Setup**: Ensure your project has a virtual environment and all necessary dependencies, including 'aws-resource-validator-b2bi'.
2. **Input Handling**: Implement functionality to accept JSON files as input via command line arguments.
3. **Validation Logic**: Use the Pydantic models from 'aws-resource-validator-b2bi' to validate the uploaded JSON configurations. This includes checking the structure, data types, and completeness of the provided configurations.
4. **Output Reporting**: After validation, the utility should output a report indicating whether each configuration file passed or failed validation, along with specific details on any errors found.
5. **Error Handling**: Gracefully handle exceptions such as invalid file paths, missing required fields, and other potential issues that might arise during the validation process.
6. **Optional Feature - Interactive Mode**: Offer an interactive mode where users can input resource configurations directly into the CLI, and receive immediate feedback on their validity.
7. **Documentation**: Provide comprehensive documentation on how to install, use, and contribute to your utility.
8. **Testing**: Include unit tests that cover various scenarios, including valid and invalid configurations, to ensure robustness.

This project aims to streamline the process of validating AWS B2BI resources, ensuring they adhere to the correct schema before deployment.

💬 Discussion Feed

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