aws-resource-validator-keyspacesstreams

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators such as no network calls, shell executions, obfuscation, or credential harvesting. However, the metadata risk score is elevated due to the lack of author information and potential inactivity, raising concerns about its origin and maintenance.

  • Elevated metadata risk due to unknown author details
  • Lack of activity from the author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute 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, and they appear to be new or inactive, which raises some suspicion but not enough to conclusively determine 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 (327 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-keyspacesstreams 
Develop a Python-based monitoring tool named 'KeySpacesStreamsGuard' that leverages the 'aws-resource-validator-keyspacesstreams' package to validate and monitor AWS KeySpaces Streams resources. This tool should provide real-time validation checks on KeySpaces Streams configurations and alert users when any resource configuration deviates from the predefined standards or when there are potential issues detected.

### Core Features:
1. **Resource Validation**: Use Pydantic models provided by 'aws-resource-validator-keyspacesstreams' to validate the correctness of KeySpaces Streams configurations against AWS best practices.
2. **Real-Time Monitoring**: Continuously monitor KeySpaces Streams resources for any changes or anomalies using AWS SDKs like Boto3.
3. **Alerting System**: Implement an alerting system that sends notifications via email or SMS if a resource configuration violates predefined rules or if unexpected behavior is observed.
4. **Dashboard Interface**: Develop a simple web interface using Flask or FastAPI to display the current status of monitored KeySpaces Streams resources and recent alerts.
5. **Configuration Management**: Allow users to customize validation rules and alert settings through a YAML configuration file.

### Implementation Steps:
1. **Setup Environment**: Install necessary Python packages including 'aws-resource-validator-keyspacesstreams', Boto3, Flask/FastAPI, and other required dependencies.
2. **Define Validation Logic**: Utilize the Pydantic models from 'aws-resource-validator-keyspacesstreams' to define the validation logic for KeySpaces Streams resources.
3. **Resource Scanning**: Write a script that periodically scans KeySpaces Streams resources using Boto3 and validates them against the defined Pydantic models.
4. **Alert Generation**: If a violation or anomaly is detected, generate alerts using services like Amazon SNS or custom email/SMS gateways.
5. **Web Interface Development**: Create a user-friendly dashboard where administrators can view the health status of their KeySpaces Streams resources and manage alerts.
6. **Configuration Handling**: Implement functionality to read and apply custom configurations from a YAML file, allowing for flexible rule-setting.
7. **Testing and Deployment**: Thoroughly test the application locally and then deploy it to a cloud environment for continuous operation.

This project will not only serve as a practical use case for 'aws-resource-validator-keyspacesstreams' but also provide valuable insights into AWS KeySpaces Streams management and monitoring.

💬 Discussion Feed

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