aws-resource-validator-ssm-quicksetup

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows very low risks in terms of network, shell, obfuscation, and credential handling, but the incomplete maintainer information and potentially inactive account raise concerns about its legitimacy.

  • Incomplete maintainer's author information
  • Potentially inactive maintainer's account
Per-check LLM notes
  • Network: Low risk as no network calls were detected, which might be unusual for an AWS-related tool but not necessarily indicative of malicious activity.
  • Shell: Very low risk since shell execution is not typical for a pure Python package and none was detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some concern but not definitive proof 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 (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-ssm-quicksetup 
Create a Python-based CLI tool named 'SSMQuickSetupValidator' that leverages the 'aws-resource-validator-ssm-quicksetup' package to validate and manage AWS SSM QuickSetup resources efficiently. This tool should serve as a robust utility for developers and system administrators who work extensively with AWS Systems Manager (SSM) QuickSetup configurations.

**Core Functionality:**
1. **Resource Validation:** Implement a feature that allows users to validate their AWS SSM QuickSetup resources against predefined Pydantic v2 models provided by the 'aws-resource-validator-ssm-quicksetup' package. This will ensure that all resources meet the required standards and are correctly configured.
2. **Configuration Management:** Develop a module within the tool that enables users to easily manage and update their SSM QuickSetup configurations. Users should be able to add, modify, or delete configuration entries directly through the CLI.
3. **Report Generation:** Include functionality that generates detailed reports on resource validation results and configuration status. These reports should be exportable in formats like JSON and CSV for further analysis or record-keeping.

**Suggested Features:**
- **Interactive Mode:** Offer an interactive mode where users can query specific details about their SSM QuickSetup resources, such as resource status, last modified date, and more.
- **Scheduled Tasks:** Integrate support for scheduling periodic validations and configuration updates using cron jobs or similar mechanisms.
- **Security Enhancements:** Incorporate additional security checks during the validation process, such as verifying access permissions and encryption settings.
- **Integration with CI/CD Pipelines:** Provide integration points for seamless integration with popular CI/CD tools, allowing automated validation and configuration management during deployment processes.

**Utilization of 'aws-resource-validator-ssm-quicksetup':** The 'aws-resource-validator-ssm-quicksetup' package will be crucial in defining the structure and validation criteria for AWS SSM QuickSetup resources. By leveraging its Pydantic v2 models, your tool will ensure that all configurations adhere to AWS best practices and standards, thereby enhancing reliability and security.

💬 Discussion Feed

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