RECONNAISSANCE

Detecting GraphQL APIs

GraphQL has many implementations written in a variety of programming languages, each of which could have different default configurations or known weaknesses

GraphQL Implementations and Languages

Server Implementation	Language
Apollo	TypeScript
Graphene	Python
Yoga	TypeScript
Ariadne	Python
graphql-ruby	Ruby
graphql-php	PHP
graphql-go	Go
graphql-java	Java
Sangria	Scala
Juniper	Rust
HyperGraphQL	Java
Strawberry	Python
Tartiflette	Python

Common Endpoints

/graphql
/graphiql
/v1/graphql
/v2/graphql
/v3/graphql
/v1/graphiql
/v2/graphiql
/v3/graphiql
/playground
/v1/playground
/v2/playground
/v3/playground
/api/v1/playground
/api/v2/playground
/api/v3/playground
/console
/api/graphql
/api/graphiql
/explorer
/api/v1/graphql
/api/v2/graphql
/api/v3/graphql
/api/v1/graphiql
/api/v2/graphiql
/api/v3/graphiql
/graphql.php
/graphql/console
/api
/api/graphql
/graphql/api
/graphql/graphql
/v1/graphql
/v2/graphql
/graphql/v1
/graphql/v2
/gql
/graphql-playground
/playground
/altair
/query
/graphql/query
/graphql-explorer
/api/v1/graphql
/api/v2/graphql
/public/graphql
/private/graphql
/internal/graphql

• Endpoints like /graphql or IDE endpoints (/graphiql, /playground) are common but can be customized.

Example Endpoint Definition in Graphene:

Graphene, a Python-based implementation of GraphQL, can expose two endpoints, one for GraphQL, and the other for GraphiQL Explorer, which is built into Graphene:

app.add_url_rule('/graphql', view_func=GraphQLView.as_view(
  'graphql',
  schema=schema
))
app.add_url_rule('/graphiql', view_func=GraphQLView.as_view(
  'graphiql',
  schema=schema,
  graphiql=True
))

Common GraphQL Responses

If the operation is a query, the result of the operation is the result of executing the operation’s top-level selection set with the query root operation type. An initial value may be provided when executing a query operation: ExecuteQuery(query, schema, variableValues, initialValue)

1. Let queryType be the root Query type in the schema.

2. Assert: queryType is an Object type.

3. Let selectionSet be the top-level selection set in the query.

4. Let data be the result of running ExecuteSelectionSet(selectionSet, queryType, initialValue, variableValues) normally (allowing parallelization).

5. Let errors be any field errors produced while executing the selection set.

6. Return an unordered map containing data and errors. In practice, this means a GraphQL API will return a data JSON field when there is a result to return to a client’s query. It will also return an errors JSON field whenever errors occur during the execution of a client query.

GraphQL APIs follow a standardized response structure, making them relatively easy to identify during penetration tests or bug bounty hunts. According to the GraphQL specification:

1. Valid Query Response:

   • Returns a data JSON field containing the requested data.

2. Invalid Query Response:

   • Returns an errors JSON field with details about the issue.

These predictable behaviors allow automated tools to identify GraphQL APIs by sending test queries and observing responses.

---

Nmap Scan

A common GraphQL response returned when a client makes a GET request.

curl -X GET http://localhost:5013/graphql
{"errors":[{"message":"Must provide query string."}]}

With this information, we now have the ability to automate a scan and pick up any other GraphQL servers that may exist on a network.

nmap -p 5013 -sV --script=http-grep --script-args='match="Must provide query string", http-grep.url="/graphql"' localhost

---

The __typename Field

Meta-fields are built-in fields that GraphQL APIs expose to clients. One example is __schema (part of introspection in GraphQL). Another example of a meta-field is __typename. When used, it returns the name of the object type being queried.

query {
    pastes {
        __typename
    }
}

----------------------
"data": {
    "pastes": [
        {
            "__typename": "PasteObject"
        }
    ]
}

As you can see, GraphQL tells us that the pastes object’s type name is PasteObject. The real hack here is that the __typename meta-field can be used against the query root type as well

# Detecting GraphQL by using GET-based queries with Nmap
nmap -p 5013 -sV --script=http-grep --script-args='match="__typename",http-grep.url="/graphql?query=\{__typename\}"' localhost

# Scanning multiple targets defined in a file with Nmap
nmap -p 5013 -iL hosts.txt -sV --script=http-grep --script-args='match="__typename", http-grep.url="/graphql?query=\{__typename\}"'

# Sending a POST-based query using cURL
curl -X POST http://localhost:5013/graphql -d '{"query":"{__typename }"}' -H "Content-Type: application/json"

# A Bash script to automate a POST-based GraphQL detection using cURL
for host in $(cat hosts.txt); do
    curl -X POST "$host" -d '{"query":"{__typename }"}' -H "Content-Type: application/json"
done

---

Graphw00f

GraphQL tool based on Python for detecting GraphQL and performing implementation-level fingerprinting.

Graphw00f allows you to specify a custom list of endpoints when running a scan. If you don’t provide a list, Graphw00f will use its hardcoded list of common endpoints whenever it is tasked with detecting GraphQL.

# https://github.com/dolevf/graphw00f
cd ~/graphw00f
python3 main.py -d -t http://localhost:5013
python3 main.py -d -t http://localhost:5013 -w wordlist.txt

---

Detecting GraphiQL Explorer and GraphQL Playground

# EyeWitness
eyewitness --web --single http://localhost:5013/graphiql -d dvga-report

# Scanning multiple URLs with EyeWitness
echo 'http://localhost:5013/graphiql' > urls.txt
eyewitness --web -f urls.txt -d dvga-report

An HTML report produced by EyeWitness

---

Introspection

State of Introspection in GraphQL Implementations (Table 4-2)

Language	Implementation	Introspection Default	Disable Option
Python	Graphene	Enabled	No
Python	Ariadne	Enabled	Yes
PHP	graphql-php	Enabled	Yes
Go	graphql-go	Enabled	No
Ruby	graphql-ruby	Enabled	Yes
Java	graphql-java	Enabled	No

An introspection query in its simplest form

query {
  __schema {
    types {
      name
    }
  }
}

Response:

{
  "data": {
    "__schema": {
      "types": [
        { "name": "PasteObject" },
        { "name": "CreatePaste" }
      ]
    }
  }
}

Visualizing Introspection Data

• Use GraphQL Voyager to explore schema relationships:

  1. Navigate to GraphQL Voyager.
  2. Paste the introspection response or upload the SDL file.

  3. View relationships visually (e.g., PasteObject links to OwnerObject).

• A GraphQL introspection detection with the Nmap NSE

nmap --script=graphql-introspection -iL hosts.txt -sV -p 5013

---

Visualizing Introspection with GraphQL Voyager

https://ivangoncharov.github.io/graphql-voyager or http://lab.blackhatgraphql.com:9000,

Generating Introspection Documentation with SpectaQL

SpectaQL (https://github.com/anvilco/spectaql) is an open source project that allows you to generate static documentation based on an SDL file. The document that gets generated will include information about how to construct queries, mutations, and subscriptions; the different types; and their fields. We’ve hosted an example SpectaQL-generated schema of DVGA at http://lab.blackhatgraphql.com:9001 so you can see how SpectaQL looks when it’s functional.