Configure GraphQL malicious query protection via the API
Use the Cloudflare GraphQL API to gather data about your GraphQL API’s current usage and configure Cloudflare’s GraphQL malicious query protection to log or block malicious queries.
Query size is defined as the number of terminal fields (leaves) in the query, whereas query depth is the deepest level at which a leaf is present. For example, the size of this query will be reported as 4 (terminalField[1-4] all contribute to this counter), and the depth will be reported as 3 (terminalField3 and terminalField4 are at depth level 3).
{ terminalField1 nonTerminalField1(filter: 123) { terminalField2 nonTerminalField2 { terminalField3 terminalField4 } }}Using the new apiGatewayGraphqlQueryAnalyticsGroups node in the Cloudflare GraphQL API, you can retrieve apiGatewayGraphqlQuerySize and apiGatewayGraphqlQueryDepth dimensions.
query ApiGatewayGraphqlQueryAnalytics( $zoneTag: string $start: Time $end: Time) { viewer { zones(filter: { zoneTag: $zoneTag }) { apiGatewayGraphqlQueryAnalyticsGroups( limit: 100 orderBy: [ apiGatewayGraphqlQuerySize_DESC apiGatewayGraphqlQueryDepth_DESC ] filter: { datetime_geq: $start, datetime_leq: $end } ) { count dimensions { apiGatewayGraphqlQuerySize apiGatewayGraphqlQueryDepth } } } }}With the above query, you will get the following response:
{ "data": { "viewer": { "zones": [ { "apiGatewayGraphqlQueryAnalyticsGroups": [ { "count": 10, "dimensions": { "apiGatewayGraphqlQueryDepth": 1, "apiGatewayGraphqlQuerySize": 11 } }, { "count": 10, "dimensions": { "apiGatewayGraphqlQueryDepth": 1, "apiGatewayGraphqlQuerySize": 2 } } ] } ] } }, "errors": null}In the response example, Cloudflare observed 10 requests with depth 1 and size 11, and 10 requests with depth 1 and size 2 in the selected timeframe.
You can use the response to compute percentiles across the attributes and set a threshold on what is allowed. For example, you can use a simple heuristic like 1.5 * p99 for query size or depth.
Here is a simple Python script that will report query size and depth p-levels given the GraphQL API response output above (as a JSON file):
#!/usr/bin/env python3
import jsonimport numpy as npimport argparse
parser = argparse.ArgumentParser()parser.add_argument("--response", help="Path to the API JSON response file with the apiGatewayGraphqlQueryAnalyticsGroups node", required=True)args = parser.parse_args()with open(args.response) as f: query_sizes = np.array([], dtype=np.uint16) query_depths = np.array([], dtype=np.uint8) data = json.load(f)['data']['viewer']['zones'][0]['apiGatewayGraphqlQueryAnalyticsGroups'] for datapoint in data: query_sizes = np.append(query_sizes, [datapoint['dimensions']['apiGatewayGraphqlQuerySize']] * datapoint['count']) query_depths = np.append(query_depths, [datapoint['dimensions']['apiGatewayGraphqlQueryDepth']] * datapoint['count'])
quantiles = [0.99,