aws-resource-validator-ssm-sap

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS ssm_sap, 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 such as network calls, shell executions, or obfuscation techniques. However, the incomplete maintainer's author information and the apparent newness or inactivity of the maintainer's account raise concerns about its legitimacy.

  • Incomplete maintainer's author information
  • New or inactive maintainer's account
Per-check LLM notes
  • Network: No network calls detected, which is not necessarily suspicious for a package that might primarily interact with AWS SSM and SAP resources locally.
  • Shell: No shell execution patterns detected, which aligns with the expectation for a package focused on resource validation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some concerns.

📦 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-ssm-sap 
Your task is to develop a command-line utility named 'SSM-SAP Validator' using Python, which leverages the 'aws-resource-validator-ssm-sap' package. This utility will serve as a robust tool for validating and managing parameters stored in AWS Systems Manager Parameter Store (SSM). Here’s a detailed breakdown of what your utility should accomplish and how it will utilize the 'aws-resource-validator-ssm-sap' package:

1. **Authentication and Initialization**
   - Implement authentication via AWS CLI credentials or IAM roles.
   - Initialize the application by loading necessary configurations from environment variables or a configuration file.

2. **Parameter Validation**
   - Utilize the Pydantic models provided by 'aws-resource-validator-ssm-sap' to validate the structure and content of SSM parameters.
   - Ensure that parameters adhere to specified schemas before they are saved or updated in SSM Parameter Store.

3. **Parameter Management**
   - Provide commands to create, update, delete, and retrieve parameters from SSM Parameter Store.
   - Each operation should include validation steps to ensure data integrity.

4. **Security Enhancements**
   - Integrate support for parameter encryption and decryption using AWS KMS.
   - Allow users to specify encryption settings when creating or updating parameters.

5. **User Interface**
   - Design a clean and intuitive command-line interface (CLI).
   - Include help and documentation options for each command.

6. **Logging and Error Handling**
   - Implement logging to record actions performed on SSM parameters.
   - Handle errors gracefully, providing meaningful error messages to users.

7. **Advanced Features (Optional)**
   - Support for parameter versioning.
   - Integration with AWS CloudWatch for monitoring parameter changes.
   - Capability to export parameter values to a local file for backup purposes.

**How to Utilize 'aws-resource-validator-ssm-sap':**

The 'aws-resource-validator-ssm-sap' package offers Pydantic models specifically designed for AWS SSM parameters. These models can be used to define the expected structure and constraints of your SSM parameters. For example, you can use these models to validate that a parameter value is of the correct type (e.g., integer, string), has the right format (e.g., email address, URL), or meets specific business rules defined within your organization.

By integrating these validation models into your utility, you ensure that all operations involving SSM parameters are both secure and compliant with organizational standards. This not only enhances the reliability of your applications but also simplifies compliance audits and security assessments.

💬 Discussion Feed

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