fix: harden NL2SQLTool — read-only by default, parameterized queries, query validation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Alex
2026-04-06 23:08:40 -07:00
parent 25e7ca03c4
commit 446d4e1267
2 changed files with 452 additions and 11 deletions

View File

@@ -1,7 +1,9 @@
import logging
import os
from typing import Any
from crewai.tools import BaseTool
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, model_validator
try:
@@ -12,6 +14,29 @@ try:
except ImportError:
SQLALCHEMY_AVAILABLE = False
logger = logging.getLogger(__name__)
# Commands allowed in read-only mode
_READ_ONLY_COMMANDS = {"SELECT", "SHOW", "DESCRIBE", "DESC", "EXPLAIN", "WITH"}
# Commands that mutate state and are blocked by default
_WRITE_COMMANDS = {
"INSERT",
"UPDATE",
"DELETE",
"DROP",
"ALTER",
"CREATE",
"TRUNCATE",
"GRANT",
"REVOKE",
"EXEC",
"EXECUTE",
"CALL",
"MERGE",
"REPLACE",
}
class NL2SQLToolInput(BaseModel):
sql_query: str = Field(
@@ -21,20 +46,65 @@ class NL2SQLToolInput(BaseModel):
class NL2SQLTool(BaseTool):
"""Tool that converts natural language to SQL and executes it against a database.
By default the tool operates in **read-only mode**: only SELECT, SHOW,
DESCRIBE, EXPLAIN, and WITH (CTE) statements are permitted. Write
operations (INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, TRUNCATE, …) are
blocked unless ``allow_dml=True`` is set explicitly or the environment
variable ``CREWAI_NL2SQL_ALLOW_DML=true`` is present.
The ``_fetch_all_available_columns`` helper uses parameterised queries so
that table names coming from the database catalogue cannot be used as an
injection vector.
"""
name: str = "NL2SQLTool"
description: str = "Converts natural language to SQL queries and executes them."
description: str = (
"Converts natural language to SQL queries and executes them against a "
"database. Read-only by default — only SELECT/SHOW/DESCRIBE/EXPLAIN "
"queries are allowed unless the tool is configured with allow_dml=True."
)
db_uri: str = Field(
title="Database URI",
description="The URI of the database to connect to.",
)
allow_dml: bool = Field(
default=False,
title="Allow DML",
description=(
"When False (default) only read statements are permitted. "
"Set to True to allow INSERT/UPDATE/DELETE/DROP and other "
"write operations."
),
)
tables: list[dict[str, Any]] = Field(default_factory=list)
columns: dict[str, list[dict[str, Any]] | str] = Field(default_factory=dict)
args_schema: type[BaseModel] = NL2SQLToolInput
@model_validator(mode="after")
def _apply_env_override(self) -> "NL2SQLTool":
"""Allow CREWAI_NL2SQL_ALLOW_DML=true to override allow_dml at runtime."""
if os.environ.get("CREWAI_NL2SQL_ALLOW_DML", "").strip().lower() == "true":
if not self.allow_dml:
logger.warning(
"NL2SQLTool: CREWAI_NL2SQL_ALLOW_DML env var is set — "
"DML/DDL operations are enabled. Ensure this is intentional."
)
self.allow_dml = True
return self
def model_post_init(self, __context: Any) -> None:
if not SQLALCHEMY_AVAILABLE:
raise ImportError(
"sqlalchemy is not installed. Please install it with `pip install crewai-tools[sqlalchemy]`"
"sqlalchemy is not installed. Please install it with "
"`pip install crewai-tools[sqlalchemy]`"
)
if self.allow_dml:
logger.warning(
"NL2SQLTool: allow_dml=True — write operations (INSERT/UPDATE/"
"DELETE/DROP/…) are permitted. Use with caution."
)
data: dict[str, list[dict[str, Any]] | str] = {}
@@ -50,42 +120,122 @@ class NL2SQLTool(BaseTool):
self.tables = tables
self.columns = data
# ------------------------------------------------------------------
# Query validation
# ------------------------------------------------------------------
def _validate_query(self, sql_query: str) -> None:
"""Raise ValueError if *sql_query* is not permitted under the current config.
Parses the leading SQL command keyword and checks it against the
allowed set. When ``allow_dml=False`` (the default) only read
statements pass. When ``allow_dml=True`` all statements are allowed
but a warning is emitted for write operations.
"""
command = self._extract_command(sql_query)
if command in _WRITE_COMMANDS:
if not self.allow_dml:
raise ValueError(
f"NL2SQLTool is configured in read-only mode and blocked a "
f"'{command}' statement. To allow write operations set "
f"allow_dml=True or CREWAI_NL2SQL_ALLOW_DML=true."
)
logger.warning(
"NL2SQLTool: executing write statement '%s' because allow_dml=True.",
command,
)
elif command not in _READ_ONLY_COMMANDS:
# Unknown command — block by default unless DML is explicitly enabled
if not self.allow_dml:
raise ValueError(
f"NL2SQLTool blocked an unrecognised SQL command '{command}'. "
f"Only {sorted(_READ_ONLY_COMMANDS)} are allowed in read-only "
f"mode."
)
@staticmethod
def _extract_command(sql_query: str) -> str:
"""Return the uppercased first keyword of *sql_query*."""
stripped = sql_query.strip().lstrip("(")
first_token = stripped.split()[0] if stripped.split() else ""
return first_token.upper().rstrip(";")
# ------------------------------------------------------------------
# Schema introspection helpers
# ------------------------------------------------------------------
def _fetch_available_tables(self) -> list[dict[str, Any]] | str:
return self.execute_sql(
"SELECT table_name FROM information_schema.tables WHERE table_schema = 'public';"
"SELECT table_name FROM information_schema.tables "
"WHERE table_schema = 'public';"
)
def _fetch_all_available_columns(
self, table_name: str
) -> list[dict[str, Any]] | str:
"""Fetch columns for *table_name* using a parameterised query.
The table name is bound via SQLAlchemy's ``:param`` syntax to prevent
SQL injection from catalogue values.
"""
return self.execute_sql(
f"SELECT column_name, data_type FROM information_schema.columns WHERE table_name = '{table_name}';" # noqa: S608
"SELECT column_name, data_type FROM information_schema.columns "
"WHERE table_name = :table_name",
params={"table_name": table_name},
)
# ------------------------------------------------------------------
# Core execution
# ------------------------------------------------------------------
def _run(self, sql_query: str) -> list[dict[str, Any]] | str:
try:
self._validate_query(sql_query)
data = self.execute_sql(sql_query)
except ValueError:
raise
except Exception as exc:
data = (
f"Based on these tables {self.tables} and columns {self.columns}, "
"you can create SQL queries to retrieve data from the database."
f"Get the original request {sql_query} and the error {exc} and create the correct SQL query."
"you can create SQL queries to retrieve data from the database. "
f"Get the original request {sql_query} and the error {exc} and "
"create the correct SQL query."
)
return data
def execute_sql(self, sql_query: str) -> list[dict[str, Any]] | str:
def execute_sql(
self,
sql_query: str,
params: dict[str, Any] | None = None,
) -> list[dict[str, Any]] | str:
"""Execute *sql_query* and return the results as a list of dicts.
Parameters
----------
sql_query:
The SQL statement to run.
params:
Optional mapping of bind parameters (e.g. ``{"table_name": "users"}``).
"""
if not SQLALCHEMY_AVAILABLE:
raise ImportError(
"sqlalchemy is not installed. Please install it with `pip install crewai-tools[sqlalchemy]`"
"sqlalchemy is not installed. Please install it with "
"`pip install crewai-tools[sqlalchemy]`"
)
is_write = self._extract_command(sql_query) in _WRITE_COMMANDS
engine = create_engine(self.db_uri)
Session = sessionmaker(bind=engine) # noqa: N806
session = Session()
try:
result = session.execute(text(sql_query))
session.commit()
result = session.execute(text(sql_query), params or {})
# Only commit when the operation actually mutates state
if self.allow_dml and is_write:
session.commit()
if result.returns_rows: # type: ignore[attr-defined]
columns = result.keys()

View File

@@ -0,0 +1,291 @@
"""Security tests for NL2SQLTool.
Uses an in-memory SQLite database so no external service is needed.
SQLite does not have information_schema, so we patch the schema-introspection
helpers to avoid bootstrap failures and focus purely on the security logic.
"""
import os
from unittest.mock import MagicMock, patch
import pytest
# Skip the entire module if SQLAlchemy is not installed
pytest.importorskip("sqlalchemy")
from sqlalchemy import create_engine, text # noqa: E402
from sqlalchemy.orm import sessionmaker # noqa: E402
from crewai_tools.tools.nl2sql.nl2sql_tool import NL2SQLTool # noqa: E402
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
SQLITE_URI = "sqlite://" # in-memory
def _make_tool(allow_dml: bool = False, **kwargs) -> NL2SQLTool:
"""Return a NL2SQLTool wired to an in-memory SQLite DB.
Schema-introspection is patched out so we can create the tool without a
real PostgreSQL information_schema.
"""
with (
patch.object(NL2SQLTool, "_fetch_available_tables", return_value=[]),
patch.object(NL2SQLTool, "_fetch_all_available_columns", return_value=[]),
):
return NL2SQLTool(db_uri=SQLITE_URI, allow_dml=allow_dml, **kwargs)
def _seed_db(uri: str) -> None:
"""Create a tiny table in the target database for DML tests."""
engine = create_engine(uri)
with engine.connect() as conn:
conn.execute(text("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)"))
conn.execute(text("INSERT INTO users VALUES (1, 'alice')"))
conn.commit()
# ---------------------------------------------------------------------------
# Read-only enforcement (allow_dml=False)
# ---------------------------------------------------------------------------
class TestReadOnlyMode:
def test_select_allowed_by_default(self):
tool = _make_tool()
# SQLite supports SELECT without information_schema
result = tool.execute_sql("SELECT 1 AS val")
assert result == [{"val": 1}]
@pytest.mark.parametrize(
"stmt",
[
"INSERT INTO t VALUES (1)",
"UPDATE t SET col = 1",
"DELETE FROM t",
"DROP TABLE t",
"ALTER TABLE t ADD col TEXT",
"CREATE TABLE t (id INTEGER)",
"TRUNCATE TABLE t",
"GRANT SELECT ON t TO user1",
"REVOKE SELECT ON t FROM user1",
"EXEC sp_something",
"EXECUTE sp_something",
"CALL proc()",
],
)
def test_write_statements_blocked_by_default(self, stmt: str):
tool = _make_tool(allow_dml=False)
with pytest.raises(ValueError, match="read-only mode"):
tool._validate_query(stmt)
def test_explain_allowed(self):
tool = _make_tool()
# Should not raise
tool._validate_query("EXPLAIN SELECT 1")
def test_with_cte_allowed(self):
tool = _make_tool()
tool._validate_query("WITH cte AS (SELECT 1) SELECT * FROM cte")
def test_show_allowed(self):
tool = _make_tool()
tool._validate_query("SHOW TABLES")
def test_describe_allowed(self):
tool = _make_tool()
tool._validate_query("DESCRIBE users")
# ---------------------------------------------------------------------------
# DML enabled (allow_dml=True)
# ---------------------------------------------------------------------------
class TestDMLEnabled:
def test_insert_allowed_when_dml_enabled(self):
tool = _make_tool(allow_dml=True)
# Should not raise
tool._validate_query("INSERT INTO t VALUES (1)")
def test_delete_allowed_when_dml_enabled(self):
tool = _make_tool(allow_dml=True)
tool._validate_query("DELETE FROM t WHERE id = 1")
def test_drop_allowed_when_dml_enabled(self):
tool = _make_tool(allow_dml=True)
tool._validate_query("DROP TABLE t")
def test_dml_actually_persists(self):
"""End-to-end: INSERT commits when allow_dml=True."""
# Use a file-based SQLite so we can verify persistence across sessions
import tempfile, os
with tempfile.NamedTemporaryFile(suffix=".db", delete=False) as f:
db_path = f.name
uri = f"sqlite:///{db_path}"
try:
tool = _make_tool(allow_dml=True)
tool.db_uri = uri
engine = create_engine(uri)
with engine.connect() as conn:
conn.execute(text("CREATE TABLE items (id INTEGER PRIMARY KEY)"))
conn.commit()
tool.execute_sql("INSERT INTO items VALUES (42)")
with engine.connect() as conn:
rows = conn.execute(text("SELECT id FROM items")).fetchall()
assert (42,) in rows
finally:
os.unlink(db_path)
# ---------------------------------------------------------------------------
# Parameterised query — SQL injection prevention
# ---------------------------------------------------------------------------
class TestParameterisedQueries:
def test_table_name_is_parameterised(self):
"""_fetch_all_available_columns must not interpolate table_name into SQL."""
tool = _make_tool()
captured_calls = []
def recording_execute_sql(self_inner, sql_query, params=None):
captured_calls.append((sql_query, params))
return []
with patch.object(NL2SQLTool, "execute_sql", recording_execute_sql):
tool._fetch_all_available_columns("users'; DROP TABLE users; --")
assert len(captured_calls) == 1
sql, params = captured_calls[0]
# The raw SQL must NOT contain the injected string
assert "DROP" not in sql
# The table name must be passed as a parameter
assert params is not None
assert params.get("table_name") == "users'; DROP TABLE users; --"
# The SQL template must use the :param syntax
assert ":table_name" in sql
def test_injection_string_not_in_sql_template(self):
"""The f-string vulnerability is gone — table name never lands in the SQL."""
tool = _make_tool()
injection = "'; DROP TABLE users; --"
captured = {}
def spy(self_inner, sql_query, params=None):
captured["sql"] = sql_query
captured["params"] = params
return []
with patch.object(NL2SQLTool, "execute_sql", spy):
tool._fetch_all_available_columns(injection)
assert injection not in captured["sql"]
assert captured["params"]["table_name"] == injection
# ---------------------------------------------------------------------------
# session.commit() not called for read-only queries
# ---------------------------------------------------------------------------
class TestNoCommitForReadOnly:
def test_select_does_not_commit(self):
tool = _make_tool(allow_dml=False)
mock_session = MagicMock()
mock_result = MagicMock()
mock_result.returns_rows = True
mock_result.keys.return_value = ["val"]
mock_result.fetchall.return_value = [(1,)]
mock_session.execute.return_value = mock_result
mock_session_cls = MagicMock(return_value=mock_session)
with (
patch("crewai_tools.tools.nl2sql.nl2sql_tool.create_engine"),
patch(
"crewai_tools.tools.nl2sql.nl2sql_tool.sessionmaker",
return_value=mock_session_cls,
),
):
tool.execute_sql("SELECT 1")
mock_session.commit.assert_not_called()
def test_write_with_dml_enabled_does_commit(self):
tool = _make_tool(allow_dml=True)
mock_session = MagicMock()
mock_result = MagicMock()
mock_result.returns_rows = False
mock_session.execute.return_value = mock_result
mock_session_cls = MagicMock(return_value=mock_session)
with (
patch("crewai_tools.tools.nl2sql.nl2sql_tool.create_engine"),
patch(
"crewai_tools.tools.nl2sql.nl2sql_tool.sessionmaker",
return_value=mock_session_cls,
),
):
tool.execute_sql("INSERT INTO t VALUES (1)")
mock_session.commit.assert_called_once()
# ---------------------------------------------------------------------------
# Environment-variable escape hatch
# ---------------------------------------------------------------------------
class TestEnvVarEscapeHatch:
def test_env_var_enables_dml(self):
with patch.dict(os.environ, {"CREWAI_NL2SQL_ALLOW_DML": "true"}):
tool = _make_tool(allow_dml=False)
assert tool.allow_dml is True
def test_env_var_case_insensitive(self):
with patch.dict(os.environ, {"CREWAI_NL2SQL_ALLOW_DML": "TRUE"}):
tool = _make_tool(allow_dml=False)
assert tool.allow_dml is True
def test_env_var_absent_keeps_default(self):
env = {k: v for k, v in os.environ.items() if k != "CREWAI_NL2SQL_ALLOW_DML"}
with patch.dict(os.environ, env, clear=True):
tool = _make_tool(allow_dml=False)
assert tool.allow_dml is False
def test_env_var_false_does_not_enable_dml(self):
with patch.dict(os.environ, {"CREWAI_NL2SQL_ALLOW_DML": "false"}):
tool = _make_tool(allow_dml=False)
assert tool.allow_dml is False
def test_dml_write_blocked_without_env_var(self):
env = {k: v for k, v in os.environ.items() if k != "CREWAI_NL2SQL_ALLOW_DML"}
with patch.dict(os.environ, env, clear=True):
tool = _make_tool(allow_dml=False)
with pytest.raises(ValueError, match="read-only mode"):
tool._validate_query("DROP TABLE sensitive_data")
# ---------------------------------------------------------------------------
# _run() propagates ValueError from _validate_query
# ---------------------------------------------------------------------------
class TestRunValidation:
def test_run_raises_on_blocked_query(self):
tool = _make_tool(allow_dml=False)
with pytest.raises(ValueError, match="read-only mode"):
tool._run("DELETE FROM users")
def test_run_returns_results_for_select(self):
tool = _make_tool(allow_dml=False)
result = tool._run("SELECT 1 AS n")
assert result == [{"n": 1}]