AI Analysis
Final verdict: SUSPICIOUS
The package has low risks associated with network, shell execution, and obfuscation. However, the metadata risk score suggests potential issues with maintainer history and repository transparency.
- Low network and shell execution risk
- No signs of obfuscation or credential harvesting
- Metadata risk due to unclear maintainer history and lack of git repository
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; the package may operate without external dependencies.
- Shell: No shell execution patterns detected, which is expected and does not indicate any form of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The package shows some signs of being legitimate but the maintainer history and lack of git repository warrant further investigation.
Package Quality Overall: Low (2.4/10)
○ 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 (672 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
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No author email provided
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 "Microsoft" 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 azure-cognitiveservices-speech
Create a voice-controlled task manager application using the Azure Cognitive Services Speech SDK for Python. This application will allow users to add, remove, and manage tasks through voice commands. The core functionality includes: 1. Users can speak a command like 'Add task' followed by the task details. 2. Users can ask to 'List all tasks', and the app will read out all current tasks. 3. Users can say 'Remove task' followed by the task name to delete a specific task. 4. The application should provide feedback through speech, confirming actions taken or providing error messages if the action cannot be completed. Utilize the 'azure-cognitiveservices-speech' package to handle speech recognition and text-to-speech functionalities. For speech recognition, implement the ability to transcribe spoken words into text. Then, process these commands to interact with a simple task management system. For text-to-speech, use the package to convert responses back into audio that the user can hear. Ensure the application is interactive and user-friendly, providing clear instructions on how to use it and handling various types of user inputs gracefully.
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