AI Analysis
The package shows signs of obfuscation and lacks critical metadata like maintainer information and a linked Git repository, raising concerns about its provenance and legitimacy.
- High obfuscation risk due to base64 decoding
- Missing maintainer information and no linked Git repository
Per-check LLM notes
- Network: The observed network patterns are likely legitimate for an SDK that interacts with cloud services or APIs, using authentication mechanisms.
- Shell: No shell execution patterns detected, suggesting no immediate risk related to command execution.
- Obfuscation: The presence of base64 decoding suggests potential obfuscation to hide code logic, which is suspicious but not conclusive without additional context.
- Credentials: No clear patterns for harvesting credentials were detected.
- Metadata: The package has some red flags, including missing maintainer information and no linked Git repository, but there are no clear signs of typosquatting or malicious intent.
Package Quality Overall: Low (4.4/10)
Test suite present β 3 test file(s) found
3 test file(s) detected (e.g. test_client_credentials.py)
Some documentation present
Detailed PyPI description (4339 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
142 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
Found 3 network call pattern(s)
me) self.signed_session = requests.session() self.signed_session.auth = AwsV4Auth(access_key, secre() self.bearer_session = requests.session() self.bearer_session.headers["Ascend-Service-Name"] = ") self.refresh_session = requests.session() self.refresh_session.auth = RefreshAuth(self.refresh_t
Found 3 obfuscation pattern(s)
e64_encoded: return f'''base64.b64decode({path_code}).decode("utf-8")''' return path_code def eineCode( code=base64.b64decode(component.container.byte_function.container.executable.code.nlineCode( code=base64.b64decode(component.bytes.parser.lambda_parser.code.inline).decode(),
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ascend.io>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 small but fully-functional desktop application using Python that allows users to efficiently manage their cloud storage resources on Ascend.io. The application should utilize the 'ascend-io-sdk' package to interact with the Ascend.io API, enabling users to perform various tasks such as uploading files, downloading files, listing directories, and deleting files from their cloud storage account. ### Application Features: 1. **User Authentication**: Implement a login system where users can authenticate themselves using their Ascend.io credentials. This will involve utilizing the 'ascend-io-sdk' to handle authentication requests and token management. 2. **File Upload**: Allow users to upload files to their Ascend.io cloud storage. The application should provide a user-friendly interface for selecting files and initiating uploads. Use the 'ascend-io-sdk' to handle the actual file transfer process. 3. **File Download**: Enable users to download files stored in their Ascend.io cloud storage. Users should be able to select which files they want to download and initiate the download process through the application. Again, use the 'ascend-io-sdk' to manage the download operations. 4. **Directory Listing**: Provide functionality for listing all directories and files within a userβs cloud storage account. Display these in a structured format (e.g., tree view) for easy navigation. Utilize the 'ascend-io-sdk' to retrieve directory listings. 5. **File Deletion**: Offer a feature for deleting files or directories from the cloud storage. Ensure that users are prompted for confirmation before performing any deletion actions. Use the 'ascend-io-sdk' to execute delete commands. 6. **Error Handling**: Implement robust error handling mechanisms to ensure that the application gracefully handles errors like network issues, invalid credentials, etc. 7. **User Interface**: Develop a clean, intuitive graphical user interface (GUI) using a library like PyQt or Tkinter. Make sure the UI is responsive and provides clear feedback to the user during operations. ### How to Utilize 'ascend-io-sdk': - For user authentication, you would need to call methods provided by the 'ascend-io-sdk' to authenticate the user and obtain necessary tokens. - File upload and download functionalities would leverage the SDKβs capabilities for initiating and managing file transfers over the network. - Directory listing would require calling SDK functions to fetch and display directory structures. - Deleting files or directories would involve invoking the appropriate SDK methods to send delete requests to the Ascend.io server. This project aims to demonstrate the practical use of the 'ascend-io-sdk' in building a real-world application that enhances user interaction with cloud storage services.
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