aws-resource-validator-iotsecuretunneling

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of immediate malicious activity such as network calls, shell executions, or credential harvesting. However, the missing maintainer information and potential inactivity raise concerns about its provenance and long-term maintenance.

  • Missing maintainer information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is expected for a package that does not require external API interactions.
  • Shell: No shell execution patterns detected, reducing the risk of executing unauthorized commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and they appear to be new or inactive, which raises some concerns but not enough to conclusively label it as malicious.

📦 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 (333 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-iotsecuretunneling 
Create a Python-based command-line utility named 'IoTSecureInspector' that leverages the 'aws-resource-validator-iotsecuretunneling' package to validate and manage IoT Secure Tunneling resources efficiently. This utility will serve as a powerful tool for DevOps engineers and system administrators who need to ensure their IoT secure tunneling configurations adhere to best practices and standards set by AWS.

The utility should have the following functionalities:
1. **Resource Validation**: Users should be able to input details of their IoT Secure Tunneling resources, and the utility should validate these resources against the Pydantic v2 models provided by the 'aws-resource-validator-iotsecuretunneling' package. This ensures that all configurations comply with AWS specifications.
2. **Configuration Export**: Allow users to export validated configurations to JSON files for easy sharing and backup purposes.
3. **Tunnel Status Check**: Implement a feature that queries the status of existing IoT Secure Tunnels, providing a summary of their current state (e.g., active, inactive).
4. **Error Reporting**: If any configuration errors are found during validation, the utility should provide clear and concise error messages detailing what needs to be corrected.
5. **Interactive Mode**: Offer an interactive mode where users can input resource details one field at a time, receiving real-time feedback on whether each entry is valid according to the Pydantic models.

The 'aws-resource-validator-iotsecuretunneling' package plays a crucial role in ensuring the accuracy and compliance of IoT Secure Tunneling configurations. By utilizing its Pydantic v2 models, your utility will automatically validate inputs against AWS-defined schemas, thereby reducing the likelihood of misconfigurations and improving overall security.

Your task is to design and implement this utility from scratch, focusing on user-friendliness, efficiency, and robustness. Consider using additional Python libraries like boto3 for interacting with AWS services and click for building the command-line interface.

💬 Discussion Feed

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