aws-resource-validator-elb

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with minimal risks identified. It shows no signs of malicious activities such as network calls, shell executions, or credential harvesting.

  • No network calls detected
  • No shell execution detected
  • No credential harvesting detected
  • Incomplete author information
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 direct system command execution within the package.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The author's information is incomplete, suggesting a potentially less reputable source.

📦 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-elb 
Create a Python-based command-line tool named 'ELBHealthChecker' that leverages the 'aws-resource-validator-elb' package to validate and monitor Elastic Load Balancers (ELBs) in AWS. This tool should be designed to help system administrators ensure that their ELBs are configured correctly and are functioning properly.

**Core Functionality:**
- **ELB Validation:** Implement a feature that allows users to input details of their ELBs and validates these against the Pydantic models provided by the 'aws-resource-validator-elb' package. This ensures that the configuration adheres to AWS standards.
- **Health Check:** The tool should also periodically check the health status of each ELB and alert the user if any issues are detected. It should utilize the Pydantic models to compare the current state of the ELB against its expected configuration.
- **Report Generation:** At the end of each monitoring session, generate a report summarizing the validation results and health statuses of all monitored ELBs. The report should be saved as a PDF file and sent via email to the specified recipients.

**Additional Features (Optional):**
- **Configuration Management:** Allow users to store and manage multiple ELB configurations within the tool for easy access and modification.
- **Scheduled Monitoring:** Implement a scheduler that allows users to set up recurring health checks at specified intervals.
- **Integration with AWS Services:** Integrate with AWS services like SNS for sending alerts about ELB health issues directly to users.
- **User Interface:** Develop a simple web interface using Flask or Django to visualize the health status of ELBs in real-time.

**Utilization of 'aws-resource-validator-elb':**
- Use the Pydantic models from the package to define the schema for ELB configurations. These models will serve as a reference point for validating user-provided ELB configurations and comparing them against actual AWS resources.
- Leverage the validation capabilities of the package to ensure that any changes made to ELB configurations adhere strictly to AWS guidelines before they are applied.
- Utilize the package's models during the health check process to identify discrepancies between the expected and actual states of ELBs.

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