adbc-driver-gizmosql

v1.1.7 suspicious
5.0
Medium Risk

Python ADBC driver for GizmoSQL with OAuth/SSO support

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk level due to its network activity and incomplete author metadata, which warrants closer scrutiny before widespread adoption.

  • Network risk of 4/10
  • Incomplete author metadata
Per-check LLM notes
  • Network: Network calls indicate the package may be making external requests, which could be for legitimate purposes like fetching configuration or updates, but warrant further investigation to ensure there is no unauthorized data transfer.
  • Shell: No shell execution patterns detected, suggesting low risk of direct system command execution.
  • 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 author's information is incomplete and the account seems new or inactive, which raises some suspicion but not enough to conclusively indicate malice.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

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  • ="GET") try: with urllib.request.urlopen(req, context=ssl_context) as resp: retur
  • e=False) with patch("urllib.request.urlopen", return_value=mock_response): result =
  • ) with patch("urllib.request.urlopen", side_effect=exc): with pytest.raises(G
  • efused") with patch("urllib.request.urlopen", side_effect=exc): with pytest.raises(G
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gizmodata.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository gizmodata/adbc-driver-gizmosql 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with adbc-driver-gizmosql
Create a mini-application that leverages the 'adbc-driver-gizmosql' Python package to connect to a GizmoSQL database using OAuth/SSO authentication. This application will serve as a simple data retrieval tool where users can query their databases and receive results in a structured format. Here’s a detailed plan on how to develop this application:

1. **Setup Environment**: Begin by setting up your development environment with Python installed. Make sure you have pip installed as well. Next, install the 'adbc-driver-gizmosql' package via pip.
2. **OAuth/SSO Authentication**: Implement OAuth/SSO authentication to securely connect to the GizmoSQL database. Use the 'adbc-driver-gizmosql' package to handle the OAuth/SSO flow, including obtaining tokens and refreshing them when necessary.
3. **Database Connection**: Utilize the 'adbc-driver-gizmosql' package to establish a connection to the GizmoSQL database once authenticated. Ensure that the connection is secure and efficient.
4. **Query Execution**: Develop functionality within the application that allows users to input SQL queries directly. Use the established database connection to execute these queries against the GizmoSQL database.
5. **Result Display**: After executing a query, display the results in a user-friendly manner. Consider formatting options such as CSV, JSON, or tabular view depending on user preference.
6. **Error Handling**: Implement robust error handling to manage any issues that arise during the OAuth process, database connection, or query execution. Provide meaningful feedback to users about what went wrong and how they might resolve it.
7. **User Interface**: Although not mandatory, consider building a basic command-line interface (CLI) or even a simple web interface using Flask or Django to make the application more accessible.
8. **Documentation**: Finally, ensure that the application comes with comprehensive documentation detailing how to set it up, use it, and troubleshoot common issues. Include examples of SQL queries that can be run through the application.