aws-resource-validator-networkmonitor

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity, but the incomplete metadata and single-package maintainer raise concerns about potential supply-chain risks.

  • Missing maintainer's author name
  • Single-package maintainer
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a utility tool.
  • Shell: No shell execution patterns detected, aligning with the expected behavior of a non-malicious utility.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage without malicious intent.
  • Metadata: The maintainer's author name is missing and they appear to have only one package, which could indicate a new or less active account.

📦 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 (321 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-networkmonitor 
Your task is to develop a command-line tool named 'NetworkMonitorChecker' using Python, which leverages the 'aws-resource-validator-networkmonitor' package to validate and monitor AWS Network Monitor resources. This tool will serve as a robust solution for ensuring the integrity and compliance of network monitoring configurations within AWS environments. Here’s a detailed breakdown of the project scope and requirements:

1. **Project Scope**: Your application should be able to connect to an AWS account, fetch Network Monitor configurations, validate them against predefined Pydantic models from the 'aws-resource-validator-networkmonitor' package, and provide a comprehensive report on any discrepancies or potential issues.

2. **Features**:
   - **Authentication**: Implement AWS IAM role-based authentication or assume an IAM role to access AWS services securely.
   - **Resource Fetching**: Use Boto3 (AWS SDK for Python) to fetch Network Monitor configurations from specified regions.
   - **Validation**: Utilize Pydantic models from 'aws-resource-validator-networkmonitor' to validate fetched configurations. Ensure that all fields comply with the model definitions.
   - **Reporting**: Generate a detailed report indicating any misconfigurations or non-compliance issues. The report should be both human-readable and machine-readable (JSON format).
   - **Custom Rules**: Allow users to define custom validation rules that extend beyond the predefined models.
   - **Interactive Mode**: Offer an interactive mode where users can input specific resource IDs or filters to inspect particular Network Monitor configurations.
   - **Logging**: Implement logging to track the execution of the tool and capture errors or warnings.

3. **Utilizing 'aws-resource-validator-networkmonitor'**: This package provides Pydantic models specifically designed for validating AWS Network Monitor resources. You should import these models into your application and use them to validate fetched configurations. Additionally, explore how you can extend these models to support custom validation rules.

4. **Development Steps**:
   - Set up a Python virtual environment and install necessary packages including 'aws-resource-validator-networkmonitor', Boto3, Pydantic, and others as needed.
   - Design the main structure of the application, including classes for authentication, resource fetching, validation, and reporting.
   - Implement each feature as described above, ensuring that the application is modular and easy to maintain.
   - Test the application thoroughly with various AWS accounts and configurations to ensure it works as expected.
   - Document the code and provide usage instructions, including examples of how to run the tool and interpret the reports.

By completing this project, you'll not only gain valuable experience in working with AWS services and Python libraries but also create a useful tool for managing and auditing AWS Network Monitor configurations.

💬 Discussion Feed

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