🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks in terms of network, shell, obfuscation, and credential handling, but the metadata quality is poor with missing maintainer history and author information, raising suspicion.

Low metadata quality
Missing maintainer history and author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
Shell: No shell executions detected, indicating the package does not attempt to execute commands on the system.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
Metadata: The package shows low effort and could be suspicious due to the lack of maintainer history and missing author information.

🔬 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 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 Azada-2026

Create a simple task management application using the Python package 'Azada-2026'. This application will allow users to add, edit, delete, and view their tasks. Each task will have a title, description, due date, and status (completed or not completed). The application should also support filtering tasks by their status and sorting them by due date.

Step 1: Setup the environment - Ensure you have Python installed on your system. Install the 'Azada-2026' package using pip if it's not already installed.

Step 2: Design the User Interface - Create a command-line interface where users can interact with the application. Use Azada-2026's CLI tools to enhance the user experience and make the interface more interactive.

Step 3: Implement Core Functionality - Utilize Azada-2026's core features to manage tasks. For example, use Azada-2026's data handling capabilities to store and retrieve tasks efficiently.

Step 4: Add Advanced Features - Integrate Azada-2026's additional functionalities such as logging, error handling, and possibly integration with external APIs for sending reminders about upcoming deadlines via email or SMS.

Step 5: Test and Debug - Thoroughly test the application to ensure all features work as expected. Use Azada-2026's testing utilities to aid in debugging and validation of the application's logic.

Step 6: Document and Deploy - Write comprehensive documentation detailing how to install and use the application. Consider deploying the application on a platform like GitHub so others can contribute or use it.

The application should demonstrate proficiency in using Azada-2026's features, making it a robust and user-friendly tool for managing daily tasks.