aws-resource-validator-ec2-instance-connect

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS ec2_instance_connect, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious behavior such as network calls, shell execution, or obfuscation. However, the incomplete author metadata and new/inactive account suggest potential risks, warranting further investigation.

  • Incomplete author metadata
  • New or inactive account
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a tool focused on local validation.
  • Shell: No shell execution detected, which aligns with expectations for a package that does not require system-level changes.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat for stealing secrets.
  • Metadata: The author's information is incomplete and the account seems new or inactive, 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 (339 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-ec2-instance-connect 
Develop a Python-based command-line tool named 'EC2InstanceConnectValidator' that leverages the 'aws-resource-validator-ec2-instance-connect' package to validate EC2 instance connect configurations. This tool will help system administrators ensure their EC2 instances are properly configured for secure SSH access using the EC2 Instance Connect method. Here’s a detailed breakdown of the project requirements:

1. **Project Setup**: Initialize your project with a virtual environment and install necessary packages including 'aws-resource-validator-ec2-instance-connect'.
2. **Configuration Loading**: Allow users to input their EC2 instance connect configuration details either via a file (JSON format) or directly through command-line arguments.
3. **Validation Logic**: Utilize the Pydantic models provided by 'aws-resource-validator-ec2-instance-connect' to validate the input configuration against predefined schemas. Ensure the validation process checks for common issues such as missing required fields, invalid values, and compliance with AWS best practices.
4. **Error Reporting**: Implement a user-friendly error reporting mechanism that clearly highlights any validation failures and suggests corrections where possible.
5. **Success Confirmation**: If the configuration passes all validations, the tool should confirm success and optionally provide a summary of the validated configuration.
6. **Logging**: Integrate logging capabilities to record each validation run, including timestamps, input configurations, and outcomes.
7. **Optional Features**: Consider adding additional functionalities such as automatic correction of minor errors, comparison of configurations across multiple EC2 instances, and integration with AWS SDK for Python (Boto3) to fetch live configurations for validation.

This project aims to streamline the process of validating EC2 instance connect configurations, ensuring they meet security standards and operational best practices.

💬 Discussion Feed

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