aws-resource-validator-payment-cryptography

v2.0.3 suspicious
4.0
Medium Risk

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

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network, shell, obfuscation, and credential risks. However, the missing maintainer's author name and the potentially new or inactive account raise concerns about potential supply-chain attacks.

  • missing maintainer's author name
  • potentially new or inactive maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal for a cryptography-focused package that does not require external services.
  • Shell: No shell execution patterns detected, which aligns with the expected behavior of a secure cryptographic library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.

πŸ“¦ Package Quality Overall: Low (3.8/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (339 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—‹ 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)

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aws-resource-validator-payment-cryptography
Your task is to develop a mini-application that validates and encrypts sensitive payment information using the 'aws-resource-validator-payment-cryptography' Python package. This application will serve as a bridge between your system and AWS services, ensuring that all payment data is securely validated and encrypted before being processed or stored. Here’s a detailed guide on how to approach this project:

1. **Project Overview**: Your application will utilize the Pydantic v2 models provided by 'aws-resource-validator-payment-cryptography' to validate and encrypt payment-related data. It will accept input from users or other systems and ensure that the data meets specific criteria before processing.

2. **Features**:
   - **Input Validation**: Implement a feature that validates payment information against predefined rules using the Pydantic models from the package.
   - **Data Encryption**: Once validation is successful, encrypt the data using the cryptographic methods supported by the package.
   - **Error Handling**: Provide robust error handling to manage invalid inputs and encryption failures gracefully.
   - **Logging**: Include logging functionality to record all transactions and errors for auditing purposes.

3. **Steps to Build**:
   - **Setup Environment**: Create a virtual environment and install necessary packages including 'aws-resource-validator-payment-cryptography'.
   - **Define Models**: Use the Pydantic models from the package to define the structure of valid payment data.
   - **Validation Functionality**: Write functions to validate incoming payment data against these models.
   - **Encryption Logic**: Implement logic to encrypt validated data using the encryption capabilities provided by the package.
   - **Testing**: Develop unit tests to verify the correctness of your validation and encryption processes.
   - **Integration**: Optionally, integrate your application with an AWS service to demonstrate end-to-end processing of payment data.

4. **Utilizing 'aws-resource-validator-payment-cryptography'**:
   - This package provides pre-defined Pydantic models for validating payment data according to AWS standards. These models can be imported directly into your application to enforce data integrity.
   - For encryption, leverage the cryptographic tools within the package to ensure that sensitive information is protected during transmission or storage.

5. **Deliverables**:
   - A fully functional Python application that validates and encrypts payment data.
   - Documentation explaining how to run the application and use its features.
   - Test cases demonstrating the validation and encryption processes.

πŸ’¬ Discussion Feed

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