adbc-driver-quack

v0.1.0a7 suspicious
4.0
Medium Risk

An Apache Arrow ADBC driver for DuckDB's Quack remote protocol.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is assessed as suspicious due to the incomplete maintainer profile and potential lack of activity, despite showing no immediate signs of malicious behavior such as network or shell risks.

  • Incomplete maintainer profile
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some suspicion but not enough to conclusively determine malice.

🔬 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: gizmodata.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository gizmodata/adbc-driver-quack appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 adbc-driver-quack 
Your task is to create a Python-based mini-application named 'QuackQuery' that allows users to interact with DuckDB databases remotely using the DuckDB Quack protocol via the 'adbc-driver-quack' package. This application will serve as a simple yet powerful tool for data analysts and developers to execute SQL queries on remote DuckDB instances and retrieve results efficiently.

The application should have the following core functionalities:
1. **Connection Management**: Users should be able to connect to a remote DuckDB instance using the provided connection details such as host, port, username, and password. The application should handle secure connections and ensure data privacy.
2. **SQL Query Execution**: Once connected, users should be able to input SQL queries to be executed against the remote database. The application should support a wide range of SQL commands including SELECT, INSERT, UPDATE, DELETE, etc.
3. **Result Display**: After executing a query, the application should display the results in a readable format. For SELECT statements, it should present tabular data. For DML statements, it should provide confirmation messages about the number of rows affected.
4. **Error Handling**: Implement robust error handling to manage various scenarios like invalid queries, connection failures, and permission issues. Provide meaningful error messages to guide users.
5. **Session Management**: Allow users to maintain multiple sessions to different databases simultaneously. Each session should be identifiable and switchable within the application.
6. **Configuration Settings**: Users should be able to configure settings such as default schema, timeout values, and logging levels through a configuration file or interactive settings menu.

To achieve these functionalities, you will utilize the 'adbc-driver-quack' package which provides an interface to communicate with DuckDB over the Quack protocol. Ensure that your code is well-documented and follows best practices for Python development. Additionally, include unit tests to verify the correctness of each feature implemented.