AI Analysis
Final verdict: SUSPICIOUS
The package shows some signs of being legitimate but the maintainer's limited presence and lack of a GitHub repository raise concerns about its authenticity and potential risks.
- Maintainer has only one package
- Lack of a GitHub repository
Per-check LLM notes
- Network: The use of requests.Session() and handling exceptions suggests normal network interaction, possibly for authentication or API calls.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and lacks a GitHub repository, which could indicate a less established or potentially suspicious account.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
ge.es' self.session = requests.Session() token = self.session.get(self.base_url + '/token',mock_session = MagicMock(spec=requests.Session()) mock_session.post.side_effect = requests.exceptions.R
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AndiEcker" 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 ae-cloud-storage
Develop a simple yet powerful file management utility called 'CloudSync' using Python and the 'ae-cloud-storage' package. This utility will enable users to easily upload, download, and manage files across multiple cloud storage services. The goal is to streamline the process of synchronizing files between local directories and cloud storage providers like AWS S3, Google Cloud Storage, and Azure Blob Storage. ### Key Features: 1. **User Authentication**: Implement a secure method for users to authenticate their cloud storage accounts. Use OAuth2 or similar protocols to handle authentication tokens. 2. **File Upload**: Allow users to select local directories and upload all files within those directories to specified cloud storage buckets. 3. **File Download**: Provide functionality to download files from cloud storage to local directories. Users should be able to choose specific files or entire directories. 4. **Synchronization**: Automatically synchronize changes made in local directories with cloud storage. If a file is updated locally, it should also be updated in the cloud. 5. **Version Control**: Keep track of different versions of files stored in the cloud. Users should have the ability to restore previous versions if needed. 6. **Search Functionality**: Implement a search feature that allows users to find files based on keywords, file names, or metadata. 7. **User Interface**: Develop a user-friendly command-line interface (CLI) or a simple graphical user interface (GUI) for ease of use. 8. **Logging and Notifications**: Maintain logs of all operations performed and notify users about any errors or successful operations. ### Utilization of 'ae-cloud-storage': - Use the 'ae-cloud-storage' package to handle the low-level interactions with cloud storage services. This includes authenticating users, uploading and downloading files, listing files, and deleting files. - Ensure that the package's functionalities are abstracted away into reusable functions or classes within your project to maintain clean and modular code. - Customize error handling and logging mechanisms around the package's API calls to provide informative feedback to users. ### Project Steps: 1. Set up a virtual environment and install necessary packages including 'ae-cloud-storage'. 2. Design and implement the user authentication system. 3. Develop the file upload and download functionalities using 'ae-cloud-storage'. 4. Integrate synchronization logic to keep local and cloud storage in sync. 5. Implement version control and search functionalities. 6. Create a user interface that exposes all functionalities. 7. Test the application thoroughly under various scenarios. 8. Deploy the application and document its usage. This project aims to create a robust tool that simplifies cloud storage management, making it accessible to both beginners and experienced users alike.