aws-resource-validator-deadline

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal signs of malicious activity but raises concerns due to the maintainer's new or inactive account and lack of proper author identification.

  • Maintainer has a new or inactive account
  • Lack of proper author identification
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a utility focused on local validation tasks.
  • Shell: No shell executions indicate the package does not execute external commands, which is typical for a validation tool.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which could indicate potential risk.

📦 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 (303 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-deadline 
Create a Python-based CLI tool named 'DeadlineGuard' that helps AWS users manage and validate their resource deadlines efficiently. This tool will utilize the 'aws-resource-validator-deadline' package to ensure all deadlines associated with AWS resources are correctly formatted and adhere to AWS standards. Here's a detailed breakdown of what the application should do and how it leverages the mentioned package:

1. **User Interface**: Develop a clean and user-friendly command-line interface (CLI) for interacting with DeadlineGuard.
2. **Resource Input**: Allow users to input details of their AWS resources, including ARN (Amazon Resource Name), type, and deadline dates.
3. **Validation Logic**: Implement validation logic using the 'aws-resource-validator-deadline' package to ensure that all inputted deadlines conform to AWS requirements. This includes checking date formats, ensuring deadlines are not in the past, and other specific validations relevant to AWS services.
4. **Output Results**: Display validation results back to the user, indicating whether each resource's deadline is valid or if there are any issues.
5. **Error Handling**: Provide informative error messages when validation fails, guiding the user on how to correct their inputs.
6. **Logging**: Optionally, implement logging functionality to record each validation process and its outcome for auditing purposes.
7. **Help and Documentation**: Include comprehensive help documentation within the CLI and provide clear instructions on how to use the tool effectively.

The 'aws-resource-validator-deadline' package will play a crucial role in step 3, where it will be used to validate the deadlines according to AWS standards. This involves utilizing the Pydantic models provided by the package to define the structure and constraints of the deadlines, thus ensuring data integrity and compliance with AWS best practices.

💬 Discussion Feed

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