AI Analysis
The package shows no direct signs of malicious activity such as obfuscation or credential harvesting. However, the maintainer's single package and the unavailability of the repository raise some concerns about the legitimacy and transparency of the project.
- No obfuscation or credential harvesting detected
- Maintainer has only one package
- Repository not found
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
- Metadata: The maintainer has only one package and the repository is not found, which raises some concerns but does not definitively indicate malicious activity.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/anvil-cloud/anvil#readmeDetailed PyPI description (3335 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
228 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "Damien Pace" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a secure cloud-based file sharing platform using the Python package 'anvil-cloud'. This platform should allow users to upload files securely, share them via unique links, and track download activity. The application will serve as a basic but robust example of leveraging cloud infrastructure for secure data exchange. ### Features: - **User Authentication**: Implement user registration and login functionalities to ensure only authorized users can access shared files. - **File Upload**: Allow users to upload files directly to the cloud storage provided by 'anvil-cloud'. - **Secure Sharing Links**: Generate unique, time-limited links for each uploaded file that can be shared with others. - **Activity Tracking**: Maintain logs of when files were downloaded and by whom, enhancing accountability and security. - **Data Encryption**: Use 'anvil-cloud' to handle encryption of files both at rest and in transit to ensure data privacy. ### Steps to Build the Application: 1. **Setup Project Environment**: Initialize a new Python project and install necessary packages including 'anvil-cloud'. 2. **Design Database Schema**: Plan out the structure for storing user information, file metadata, and activity logs. 3. **Implement User Interface**: Develop a simple web interface for users to interact with the application. 4. **Integrate 'anvil-cloud'**: Utilize 'anvil-cloud' to manage cloud resources, focusing on secure file storage and encryption capabilities. 5. **Develop Core Functionalities**: Write code to handle user authentication, file uploads, link generation, and activity tracking. 6. **Testing & Deployment**: Test the application thoroughly and deploy it on a server or cloud platform. ### Utilizing 'anvil-cloud': - For secure file storage and encryption, utilize 'anvil-cloud' services to store all user-uploaded files. - Leverage 'anvil-cloud' features to generate and manage unique links for file sharing. - Ensure all data transfers are encrypted using 'anvil-cloud' encryption protocols to maintain user privacy.
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