aws-resource-validator-mgn

v2.0.3 suspicious
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, and obfuscation activities, but the incomplete author information and potentially new/inactive maintainer account raise some concerns about its legitimacy.

  • Incomplete author information and potentially new/inactive maintainer account
  • Low risk in network, shell, and obfuscation activities
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 immediate risk of executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete, and the account seems new or inactive, which could indicate potential risk.

📦 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 (288 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-mgn 
Develop a Python-based utility named 'MGNValidator' that leverages the 'aws-resource-validator-mgn' package to validate AWS Migration Services resources. This tool will serve as a critical component for DevOps teams looking to ensure compliance and integrity of their migration plans before execution. Here's a detailed breakdown of what your utility should accomplish:

1. **Resource Validation**: Implement functions within MGNValidator to validate various AWS Migration Services resources such as source servers, replication jobs, and launch configurations against predefined schemas provided by the 'aws-resource-validator-mgn' package. Ensure these validations cover all necessary attributes including but not limited to server names, instance types, network configurations, and security group IDs.

2. **CLI Integration**: Design a command-line interface (CLI) for easy interaction with MGNValidator. Users should be able to specify which resources they want to validate and receive detailed feedback on the validation process, including any errors or warnings encountered.

3. **Configuration Management**: Allow users to define and manage custom configuration files that dictate specific validation rules and criteria. These configurations can then be applied during the validation process to enforce additional constraints beyond those provided by default schemas.

4. **Report Generation**: After running validations, generate comprehensive reports summarizing the results. Reports should include a list of validated resources, status (pass/fail), detailed error messages for failed validations, and suggestions for corrective actions if applicable.

5. **Integration with AWS SDK**: Utilize the AWS SDK for Python (Boto3) alongside 'aws-resource-validator-mgn' to fetch live resource data from AWS accounts for real-time validation checks. This ensures that the validation process reflects current state information rather than relying solely on static inputs.

6. **Security and Compliance Checks**: Incorporate advanced security and compliance checks into the validation logic, leveraging 'aws-resource-validator-mgn' to verify that resources adhere to best practices and regulatory requirements relevant to their use cases.

7. **User-Friendly Interface**: Ensure that the CLI provides clear, concise, and user-friendly output. Include help options and examples to guide new users through the setup and usage process.

By utilizing 'aws-resource-validator-mgn', your application will streamline the validation of AWS Migration Services resources, enhancing overall migration planning and execution efficiency.

💬 Discussion Feed

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