aws-resource-validator-detective

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks based on the analysis notes provided, with no indications of malicious activities. However, the metadata risk score suggests a need for further investigation into the author's background.

  • No network calls detected
  • Lack of author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is lacking, which could indicate a lack of transparency or a new/inactive account.

📦 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 (306 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-detective 
Create a Python-based command-line tool named 'DetectiveAnalyzer' that leverages the 'aws-resource-validator-detective' package to validate and analyze AWS Detective resources within an account. This tool will serve as a valuable asset for DevOps engineers and security analysts to ensure their Detective configurations adhere to best practices and standards.

**Core Functionality:**
- **Resource Validation**: Implement a feature that allows users to input specific AWS Detective resources (e.g., Graphs, Filters) and validate them against predefined schemas using the 'aws-resource-validator-detective' package. The tool should output whether each resource is compliant or not, along with any issues found.
- **Compliance Report Generation**: Extend the functionality to generate detailed compliance reports based on the validation results. These reports should be easily readable and include actionable insights.
- **Interactive Mode**: Offer an interactive mode where users can query individual Detective resources and receive immediate feedback on their configuration status.

**Advanced Features (Optional):**
- **Automated Remediation Suggestions**: For detected non-compliant resources, provide automated suggestions on how to correct the issues.
- **Integration with CI/CD Pipelines**: Enable integration with popular CI/CD tools (like Jenkins, GitHub Actions) to automatically run DetectiveAnalyzer during deployment phases, ensuring new deployments meet Detective standards.
- **Real-time Monitoring**: Integrate real-time monitoring capabilities to continuously assess Detective resources and alert stakeholders if any changes lead to non-compliance.

**How 'aws-resource-validator-detective' is Utilized:**
- The 'aws-resource-validator-detective' package will be the backbone of the validation logic. Users will leverage its Pydantic v2 models to define and enforce the structure and rules for AWS Detective resources. This ensures that the validation process is both robust and flexible, capable of handling different types of Detective resources and configurations.

💬 Discussion Feed

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