aws-resource-validator-acm

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks with no network calls, shell executions, or obfuscations detected. The metadata risk is slightly elevated due to the maintainer's incomplete and potentially inactive profile.

  • No network calls
  • No shell execution
  • Incomplete maintainer profile
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 no immediate signs of malicious shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, which raises some concern but does not strongly indicate malicious intent.

📦 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-acm 
Develop a Python-based CLI tool named 'ACM Validator' which leverages the 'aws-resource-validator-acm' package to validate and manage AWS ACM (Amazon Certificate Manager) resources. This tool will enable users to interact with their ACM certificates efficiently, ensuring they are compliant with AWS best practices and standards.

### Key Features:
1. **Certificate Validation**: Users can input details of an ACM certificate, and the tool will validate it against predefined schemas using Pydantic models provided by 'aws-resource-validator-acm'. This includes checking for valid domains, validation methods, and expiration dates.
2. **Status Check**: The tool should allow users to check the current status of their certificates (e.g., Issued, InProgress, etc.).
3. **Renewal Reminder**: For certificates nearing expiration, the tool can send reminders or alerts to the user via email or SMS.
4. **Export Certificates**: Provide functionality to export validated certificates into a JSON file for backup or further processing.
5. **Interactive Mode**: An interactive mode where users can query information about their certificates, modify existing ones, and perform other operations through a command-line interface.

### Implementation Steps:
1. **Setup Project Environment**: Create a new Python project, install necessary dependencies including 'aws-resource-validator-acm', and set up a virtual environment.
2. **Define CLI Structure**: Design and implement a basic CLI structure using libraries such as 'click' or 'argparse' for handling commands and arguments.
3. **Integrate 'aws-resource-validator-acm'**: Utilize the Pydantic models from 'aws-resource-validator-acm' to define schemas for validating ACM certificates. Implement functions to parse and validate input data against these schemas.
4. **AWS Integration**: Use Boto3, the AWS SDK for Python, to interact with the ACM service. Implement functions to fetch, update, and delete certificates based on user inputs.
5. **Add Additional Features**: Develop functionalities for checking certificate statuses, sending renewal reminders, and exporting certificates.
6. **Testing and Documentation**: Write tests to ensure all functionalities work as expected and create comprehensive documentation for the tool.
7. **User Interface Enhancements**: Improve the CLI experience by adding help messages, error handling, and more sophisticated interactions.
8. **Deployment**: Package the tool as a distributable package and deploy it on platforms like PyPI for wider accessibility.

💬 Discussion Feed

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