aws-resource-validator-securityagent

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks based on the provided analysis notes. It does not engage in network calls, shell executions, or obfuscation, nor does it exhibit patterns of credential harvesting.

  • Low metadata risk
  • No network or shell execution detected
Per-check LLM notes
  • Network: No network calls detected, which is typical if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating it does not execute system commands directly.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which may indicate low activity or lack of transparency.

📦 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 (318 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-securityagent 
Create a Python-based command-line utility named 'SecurityAgentAnalyzer' that leverages the 'aws-resource-validator-securityagent' package to validate AWS resources against security best practices defined within the package's Pydantic v2 models. This tool will serve as an essential aid for DevOps engineers and cloud administrators to ensure their AWS environments comply with strict security standards.

Step-by-Step Guide:
1. Install necessary Python packages including 'aws-resource-validator-securityagent', 'boto3' for AWS SDK access, and 'click' for command-line interface.
2. Define functions to fetch AWS resource configurations from specific regions and services using 'boto3'.
3. Implement validation logic using 'aws-resource-validator-securityagent' models to check if the fetched configurations meet the security criteria outlined in these models.
4. Develop a user-friendly CLI with 'click' where users can specify the AWS region, service, and any additional parameters such as IAM policies or S3 bucket settings they wish to validate.
5. Display validation results in a clear, concise format indicating whether each resource passes or fails the security checks.
6. Integrate logging functionality to record detailed information about each validation run for auditing purposes.
7. Add support for scheduling regular validations through a cron job or similar mechanism to monitor compliance over time.

Suggested Features:
- Support for multiple AWS accounts by allowing users to specify different profiles.
- Ability to customize validation rules based on organizational security policies.
- Email notifications for failed validations to alert stakeholders.
- Export validation results to CSV or JSON files for further analysis.
- Provide recommendations for remediation steps when resources fail validation tests.

💬 Discussion Feed

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