Graphql Introspection in Echo Go with Dynamodb

GraphQL introspection allows clients to query the schema for types, fields, and operations. When a GraphQL endpoint built with Echo Go exposes introspection and connects to a DynamoDB data source, it can reveal implementation details that assist an attacker. In this combination, introspection may disclose attribute names, expected input structures, and query patterns that map closely to DynamoDB table and index names.

An attacker can use introspection to discover which GraphQL types correspond to DynamoDB operations, such as queries that fetch items by partition key or scan operations. If field names mirror DynamoDB attribute names (e.g., userId, email, createdAt), the schema becomes a blueprint for crafting IDOR or BOLA attempts. Without proper authorization checks on resolvers, introspection can expose unauthenticated query paths that directly or indirectly interact with DynamoDB, increasing the attack surface visible to an unauthenticated scanner.

Because middleBrick tests unauthenticated attack surfaces, it flags GraphQL introspection as a finding when the endpoint returns schema details without requiring authentication. In an Echo Go service, if the GraphQL handler does not disable introspection in production, a scan will detect the endpoint as publicly introspectable. This is especially sensitive when backed by DynamoDB, because schema queries can hint at data organization, indexing strategy, and access patterns that may lack additional enforcement.

Consider an Echo Go GraphQL handler defined with graphql-go or a similar library. If the server exposes an unguarded /graphql route, middleBrick’s GraphQL/LLM Security checks will identify introspection as a finding. The scanner does not rely on internal code; it observes runtime behavior. When combined with DynamoDB, the concern is not that introspection directly reads data, but that it reveals query shapes that can be leveraged in downstream attacks if authorization is inconsistent.

To illustrate, a typical introspection query in Echo Go might look like the following request sent to the GraphQL endpoint:

POST /graphql HTTP/1.1
Content-Type: application/json

{
  "query": "{ __schema { queryType { name } types { name fields { name } } } }"
}

A response that includes types such as Query with fields like getUserByUserId or listOrders provides an attacker with a map of operations. If those resolvers rely on DynamoDB key conditions without verifying the requesting user’s ownership, the combination of introspection and DynamoDB configuration can lead to privilege escalation opportunities that middleBrick reports under BOLA/IDOR and BFLA/Privilege Escalation checks.

Remediation centers on disabling introspection in production and enforcing strict authorization on each resolver. In Echo Go, you can conditionally disable introspection based on environment and ensure that every DynamoDB request validates the requester’s permissions against the item’s ownership or required scopes.

First, disable introspection for non-development environments. If using a GraphQL library that supports it, configure the schema build to skip introspection in production:

// Example using a GraphQL library option (implementation may vary)
opts := []graphql.ServerOpt{
    graphql.GraphQLServerOptFunc(func(cfg *graphql.ServerConfig) {
        if env.IsProduction() {
            cfg.IntrospectionDisabled = true
        }
    }),
}
server := graphql.NewServer(opts...)

Second, ensure that every DynamoDB operation validates the caller’s identity. In an Echo Go handler, extract the user identity from a verified token and use it as a filter key in DynamoDB queries. Below is a concrete example using the AWS SDK for Go v2:

import (
    "context"
    "github.com/aws/aws-sdk-go-v2/service/dynamodb"
    "github.com/aws/aws-sdk-go-v2/service/dynamodb/types"
    "github.com/labstack/echo/v4"
)

func getUserOrders(c echo.Context) error {
    userID := c.Get("userID").(string) // from auth middleware
    tableName := "Orders"

    svc := dynamodb.NewFromConfig(cfg)
    out, err := svc.Query(context.TODO(), &dynamodb.QueryInput{
        TableName: aws.String(tableName),
        KeyConditionExpression: aws.String("userID = :uid"),
        ExpressionAttributeValues: map[string]types.AttributeValue{
            ":uid": &types.AttributeValueMemberS{Value: userID},
        },
    })
    if err != nil {
        return echo.NewHTTPError(http.StatusInternalServerError, err.Error())
    }
    return c.JSON(out.Items)
}

This pattern ensures that even if introspection reveals a getUserOrders field, the resolver will only return items where the partition key matches the authenticated user’s ID. It directly addresses BOLA/IDOR risks associated with DynamoDB-backed GraphQL APIs.

Additionally, avoid exposing raw DynamoDB attribute names in GraphQL field names or error messages. Map internal attribute names to safer aliases and validate input against a strict schema. middleBrick’s Property Authorization and Input Validation checks will highlight mismatches between expected and actual input shapes, helping you refine these mappings.

For CI/CD safety, add the GitHub Action to fail builds when introspection remains enabled in production configurations. This prevents accidental exposure before deployment. The MCP Server allows AI coding assistants in your IDE to surface these risks while you write resolvers, helping you catch inconsistencies early.