AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activities such as network calls, shell execution, or obfuscation. However, the maintainer's incomplete profile and new account slightly increase the metadata risk.
- No network calls or shell execution detected
- Maintainer has an incomplete profile and a new account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The maintainer has an incomplete profile and a new account, which raises some concerns but does not strongly indicate 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 (333 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_validatorSmall 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 shortAuthor "" 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-pca-connector-scep
Create a mini-application named 'SCEPSigner' that leverages the 'aws-resource-validator-pca-connector-scep' Python package to validate and sign documents using AWS Private Certificate Authority (PCA) and Simple Certificate Enrollment Protocol (SCEP). This application should allow users to upload a document and request a signature from their PCA instance via SCEP. The application will use Pydantic v2 models provided by the package to ensure that all requests and responses adhere to AWS standards. Steps to complete the project: 1. Set up your development environment with Python 3.8+ and install the necessary packages including 'aws-resource-validator-pca-connector-scep'. 2. Define a class-based API structure using FastAPI to handle incoming requests and outgoing responses. 3. Implement a function that validates the user's request against the Pydantic models provided by 'aws-resource-validator-pca-connector-scep'. This ensures that all inputs are correctly formatted before processing. 4. Create a secure connection to the user's AWS PCA instance through SCEP using the validated input data. 5. Develop a feature within the application that allows users to upload a document for signing. Ensure the document type is supported and stored temporarily. 6. Integrate the functionality to request a signature from the PCA instance on the uploaded document via SCEP. 7. Once signed, provide the user with the option to download the signed document or view it directly within the application. 8. Add error handling and logging mechanisms to capture any issues during the process. 9. Finally, deploy your application to a cloud service provider such as AWS, ensuring it is accessible over HTTPS for security reasons. Suggested Features: - User authentication to ensure only authorized users can sign documents. - Support for multiple document types (PDF, Word, etc.) with automatic conversion if needed. - A history log of all signed documents for auditing purposes. - Notifications upon successful signing or errors encountered. How 'aws-resource-validator-pca-connector-scep' is Utilized: This package provides essential Pydantic models that define the structure and validation rules for requests and responses related to AWS PCA Connector SCEP. By utilizing these models, you can ensure that all interactions with the PCA instance are compliant with AWS standards, reducing the risk of errors or misconfigurations.
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