aws-resource-validator-notifications

v2.0.3 safe
2.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscation, or credential harvesting. The metadata risk is slightly elevated due to sparse author information, but there are no clear signs of malicious intent.

  • No network calls
  • No shell executions
  • No obfuscation patterns
  • No credential harvesting patterns
  • Sparse author information
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally, which is normal unless specific network activities are expected based on its functionality.
  • Shell: No shell executions indicate the package does not execute system commands, reducing the risk of unauthorized access or malicious actions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is sparse, indicating potential low activity or a new account, but there are no clear signs of malicious intent.

📦 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-notifications
Create a monitoring tool called 'AWS Notification Watcher' using Python that leverages the 'aws-resource-validator-notifications' package. This tool will help users monitor their AWS resources by receiving and validating notifications from various AWS services such as S3, RDS, and EC2. The application should perform the following steps:

1. **Configuration**: Allow users to configure the AWS services they want to monitor and specify which types of notifications they wish to receive.
2. **Subscription Setup**: Automatically set up subscriptions to these notifications via AWS SNS (Simple Notification Service).
3. **Notification Reception**: Use the 'aws-resource-validator-notifications' package to validate incoming notifications against predefined Pydantic models to ensure they adhere to expected formats.
4. **Notification Handling**: Depending on the notification type, trigger different actions or alerts. For example, if a new object is uploaded to S3, log the event; if an RDS instance status changes, send an email alert.
5. **Logging and Reporting**: Maintain logs of all received notifications and provide a reporting feature that summarizes the activity over a specified period.
6. **Security Measures**: Implement basic security measures such as encryption for sensitive data and authentication for accessing the tool.
7. **User Interface**: Develop a simple CLI interface for configuring and managing the tool.

Suggested Features:
- Support for multiple AWS regions.
- Customizable alerting mechanisms (e.g., email, SMS).
- Integration with external logging services like AWS CloudWatch.
- User-friendly documentation and examples.

The 'aws-resource-validator-notations' package will play a crucial role in ensuring that all incoming notifications are correctly formatted and validated according to AWS standards before any action is taken, thereby reducing the risk of processing invalid or malicious data.

💬 Discussion Feed

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