aws-resource-validator-route53

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS route53, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks in terms of network, shell, and obfuscation activities, but the metadata risk score is elevated due to sparse author information, raising suspicion about its legitimacy.

  • Sparse author information
  • Elevated metadata risk score
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, suggesting legitimate code without attempts to hide functionality.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The author's information is sparse, suggesting potential low activity or newness, which raises 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 (300 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-route53 
Create a mini-application named 'DNSValidator' using Python that leverages the 'aws-resource-validator-route53' package to validate DNS configurations hosted on Amazon Route 53. This application will serve as a handy tool for system administrators and DevOps engineers who need to ensure their DNS records are correctly set up and functioning as expected. The application should include the following functionalities:

1. **User Authentication**: Integrate AWS IAM roles or access keys to authenticate users and provide them with permissions to interact with their Route 53 hosted zones.
2. **Zone Listing**: Allow users to list all available hosted zones within their account.
3. **Record Validation**: Provide a feature where users can specify a particular hosted zone ID and a specific DNS record type (e.g., A, CNAME, MX) to validate. The application should then fetch the specified records from Route 53 and check if they meet certain criteria (e.g., correct TTL values, valid domain names).
4. **Report Generation**: After validation, generate a detailed report indicating which records passed validation and which did not, along with reasons for failure.
5. **Interactive CLI Interface**: Implement a command-line interface that guides users through each step of the process, making it user-friendly and easy to navigate.
6. **Configuration File Support**: Allow users to configure default settings via a YAML configuration file, such as preferred region, default TTL values for validation, etc.

To utilize the 'aws-resource-validator-route53' package effectively, follow these steps:
- Use its Pydantic models to define schemas for Route 53 resources, ensuring data integrity and correctness when fetching and validating records.
- Leverage the package's namespace extension capabilities to streamline integration with other parts of the 'aws-resource-validator' ecosystem if needed.
- For validation logic, map your custom validation rules onto the fetched records using the defined Pydantic models, thereby leveraging type checking and data validation features provided by Pydantic.

This project aims to simplify the task of DNS management for users while also providing a robust framework for extending validation rules and adding more features in the future.

💬 Discussion Feed

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