aws-resource-validator-security

v2.0.3 suspicious
4.0
Medium Risk

Identity, access, encryption, compliance, threat detection

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks such as network calls, shell executions, or credential harvesting. However, the incomplete and possibly inactive maintainer profile increases the metadata risk, warranting further scrutiny.

  • Incomplete maintainer profile
  • New or inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system 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 appears to be new or inactive, which raises some suspicion but not enough to conclusively indicate 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 (266 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-security 
Create a comprehensive security audit tool using the 'aws-resource-validator-security' Python package. This tool will help AWS users ensure their resources comply with best practices in identity and access management, encryption, compliance, and threat detection. Here’s a step-by-step guide on how to develop this tool:

1. **Project Setup**: Initialize a new Python project and install the 'aws-resource-validator-security' package along with other necessary dependencies such as Boto3 for AWS interactions.
2. **Authentication and Authorization**: Implement a mechanism for authenticating users via AWS IAM roles or credentials. Ensure that the tool can fetch and validate user permissions to check if they have the necessary access to perform audits on specific resources.
3. **Resource Scanning**: Develop functions within your tool to scan various AWS resources like S3 buckets, RDS instances, EC2 instances, etc., for security configurations. Use the 'aws-resource-validator-security' package to identify potential vulnerabilities related to identity management, access controls, and encryption settings.
4. **Compliance Checks**: Integrate compliance checks against common standards like CIS AWS Foundations Benchmark, PCI DSS, GDPR, etc. The tool should generate a report indicating whether each resource meets the required compliance criteria.
5. **Threat Detection**: Utilize the threat detection capabilities of the 'aws-resource-validator-security' package to monitor for unusual activities or patterns that might indicate a security breach. For example, unauthorized access attempts, unexpected data transfers, etc.
6. **Reporting and Recommendations**: After scanning and analyzing the resources, generate detailed reports summarizing the findings. Include actionable recommendations for improving security posture based on identified issues.
7. **User Interface**: Optionally, design a simple command-line interface (CLI) or a basic web interface where users can input their AWS account details, select which resources to audit, and view the results.

This project aims to provide a robust solution for enhancing the security of AWS environments by leveraging the powerful features of the 'aws-resource-validator-security' package.

💬 Discussion Feed

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