aws-resource-validator-ssm

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious behavior such as network calls or shell executions. However, the incomplete author information and low maintainer activity raise concerns about its legitimacy.

  • Incomplete author information
  • Limited maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage without secret theft concerns.
  • Metadata: The author's information is incomplete and the maintainer has limited activity, raising 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 (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-ssm 
Create a Python-based utility application named 'SSM Validator' that leverages the 'aws-resource-validator-ssm' package to validate and manage AWS Systems Manager (SSM) parameters efficiently. This tool will serve as a robust interface for developers and system administrators to ensure the integrity and compliance of their SSM parameter store entries against predefined schemas.

### Key Features:
1. **Parameter Validation**: Implement a feature where users can input an SSM parameter name, and the application will validate it against a set of predefined Pydantic models from 'aws-resource-validator-ssm'. This ensures that each parameter adheres to a specific schema, such as data type, allowed values, or required fields.
2. **Schema Management**: Allow users to define and manage custom schemas for different types of parameters using the Pydantic models provided by 'aws-resource-validator-ssm'. Users should be able to create, update, delete, and list these schemas.
3. **Interactive CLI**: Develop a user-friendly Command Line Interface (CLI) for interacting with the SSM Validator. Commands should include options like validating a single parameter, listing all parameters, or managing schemas.
4. **Logging and Reporting**: Integrate logging to track actions performed on the SSM parameters and schemas. Additionally, provide a reporting feature that generates a summary of validation results and any issues found during the validation process.
5. **Security Enhancements**: Ensure that all interactions with AWS SSM are done securely, leveraging AWS credentials stored in environment variables or a configuration file.

### Utilization of 'aws-resource-validator-ssm':
- Use the Pydantic models from 'aws-resource-validator-ssm' to define and validate schemas for SSM parameters.
- Employ these models within your application logic to enforce schema validation when adding or updating parameters in the SSM Parameter Store.
- Optionally, extend the functionality of 'aws-resource-validator-ssm' by contributing new models or enhancements back to the community if they are generally useful.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!