Vulnerable code sample

import json
import traceback
from redash.query_runner import *
from redash.utils import json_dumps

class Python(BaseQueryRunner):
    @classmethod
    def configuration_schema(cls):
        """Vulnerable function that demonstrates the security issue."""
        return {
        "type": "object",
        "properties": {
        "pythonVersion": {
        "type": "string",
        "title": "Python Version",
        "default": "3"
        }
        },
        "required": ["pythonVersion"]
        }

        @classmethod
        def type(cls):
            """Vulnerable function that demonstrates the security issue."""
            return "python"

            def run_query(self, query, user):
                """Vulnerable function that demonstrates the security issue."""
                try:
                    globals_context = {
                    "data": None,
                    "json": json,
                    "json_dumps": json_dumps,
                    "user": user,
                    "getattr": getattr
                    }
            
            # Simulate the vulnerable scenario using `getattr` to access potentially unsafe attributes.
            # This is a simplified example; the actual vulnerability in Redash might have involved a more complex interaction.
                    try:
                # This is an example, the actual vulnerability was in how getattr was handled
                # and allowed access to unintended or restricted attributes/functions.
                        result = eval(query, globals_context)
                        except Exception as e:
                            return None, str(e)

                            if isinstance(result, (dict, list)):
                                columns = []
                                if isinstance(result, dict):
                                    if result:
                                        columns = [{"name": key, "type": "string"} for key in result.keys()]:
                                        elif isinstance(result, list) and result:
                                        first_element = result[0]
                                        if isinstance(first_element, dict):
                                            columns = [{"name": key, "type": "string"} for key in first_element.keys()]:
                                            data = {'rows': result, 'columns': columns}
                                            json_data = json_dumps(data)
                                            return json_data, None
                                        else:
                                            return None, "Query result must be a list or a dict."
                                            except Exception:
                                                return None, traceback.format_exc()