🤖 AI Analysis

Final verdict: SUSPICIOUS

The package JN-STT v0.5 has a low risk score due to the lack of network calls, shell execution, obfuscation, and credential harvesting patterns. However, the metadata risk is elevated due to its recent creation and low maintenance effort, raising suspicion.

Metadata risk is high
Package lacks detailed description

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
Metadata: The package shows signs of being newly created and having low maintenance effort, which could indicate potential risk.

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Jay Navadiya" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with JN-STT

Create a voice-controlled browser automation tool using the 'JN-STT' package. This mini-application will allow users to control their web browsing experience through voice commands. Here’s how it works:

1. **Setup and Initialization**: Start by installing the necessary packages including 'JN-STT', Selenium, and WebDriver Manager. Ensure your environment is set up to use the ChromeDriver.
2. **Voice Command Recognition**: Utilize the 'JN-STT' package to capture and convert user voice inputs into text commands. This step involves setting up a continuous listening mode where the application waits for user commands.
3. **Command Interpretation and Execution**: Once a command is recognized, interpret the command and translate it into actions on the web browser. For example, if the user says 'open Google', the application should navigate to google.com.
4. **Advanced Features**:
- Implement a feature to search for terms directly from the voice command (e.g., 'search for Python tutorials').
- Add support for navigating back and forth through web pages ('go back', 'go forward').
- Enable the ability to close tabs or the entire browser ('close tab', 'exit browser').
5. **User Interface**: Develop a simple GUI (Graphical User Interface) to display the current state of the application, such as showing the current URL or indicating when a command has been successfully executed.
6. **Testing and Feedback**: Test the application thoroughly under different scenarios to ensure reliability and accuracy. Collect feedback from initial users to improve the recognition and execution processes.

This project aims to demonstrate the integration of voice recognition technology with web automation, making the internet more accessible and user-friendly for those who prefer voice commands over manual input.