aws-resource-validator-ssm-contacts

v2.0.3 suspicious
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators such as no network calls, shell executions, or obfuscations. However, the incomplete author metadata and potential newness to PyPI raise some concerns about its legitimacy.

  • Incomplete author metadata
  • Potential newness to PyPI
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no unexpected system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and they may be new to PyPI, which raises some suspicion but not enough to conclusively determine 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 (315 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-contacts 
Create a Python-based command-line utility named 'SSMContactsChecker' that leverages the 'aws-resource-validator-ssm-contacts' package to validate and display information about Amazon SSM Contacts (also known as Amazon SSM Incident Manager). This tool will serve as a handy resource for system administrators and DevOps engineers who need to manage their incident contacts efficiently.

### Core Functionality:
1. **Validation**: The utility should be able to take an input contact channel ARN and validate it against the Pydantic v2 models provided by 'aws-resource-validator-ssm-contacts'. If the input is valid, proceed to fetch and display its details; otherwise, return an error message.
2. **Display Details**: Once validated, the tool should fetch and display all available details about the specified contact channel from AWS SSM Contacts service.
3. **Error Handling**: Implement robust error handling to manage invalid inputs, network issues, and any other potential errors gracefully.

### Additional Features:
- **Batch Validation**: Extend the functionality to accept multiple contact channel ARNs at once and validate them in batch.
- **Export Options**: Provide options to export the fetched contact details into different formats such as CSV or JSON.
- **Interactive Mode**: Introduce an interactive mode where users can query contact channels one by one without needing to restart the program.
- **Help Documentation**: Include comprehensive help documentation accessible via command line options to guide users on how to use the tool effectively.

### Utilizing 'aws-resource-validator-ssm-contacts':
This package will primarily be used for validating user inputs against predefined schemas (Pydantic models) before attempting to fetch data from AWS SSM Contacts. This ensures that only well-formed requests are made to AWS services, reducing the likelihood of errors and improving overall performance and reliability of the tool.

💬 Discussion Feed

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