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graphql-introspection-abuse

Exploit exposed GraphQL introspection endpoints to map the entire API schema. This skill details how to extract available queries, mutations, types, and fields, which significantly aids in identifying hidden endpoints, Broken Object Level Authorization (BOLA/IDOR), and mass assignment vulnerabilities.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(3)

  • SKILL.md5.7 KB
  • evals/evals.json540 B
  • scripts/process.py7.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

GraphQL Introspection Abuse

When to Use

  • During the reconnaissance phase of evaluating web applications that utilize GraphQL.
  • To rapidly map the API surface area without relying on brute-force directory or endpoint enumeration.
  • To visualize the API schema and identify potentially vulnerable data relationships and administrative mutations.

Prerequisites

  • Authorized scope and target URLs from bug bounty program
  • Burp Suite Professional (or Community) configured with browser proxy
  • Familiarity with OWASP Top 10 and common web vulnerability classes
  • SecLists wordlists for fuzzing and enumeration

Workflow

Phase 1: Identifying GraphQL Endpoints

Common endpoints include /graphql, /api/graphql, /v1/graphql, /v2/graphql, and sometimes /gql.

Phase 2: Sending the Introspection Query

The standard GraphQL Introspection query requests the __schema field.

// Concept: Request schema metadata {
  "query": "query IntrospectionQuery { __schema { queryType { name } mutationType { name } types { ...FullType } } } fragment FullType on __Type { kind name fields(includeDeprecated: true) { name args { ...InputValue } type { ...TypeRef } } } fragment InputValue on __InputValue { name type { ...TypeRef } defaultValue } fragment TypeRef on __Type { kind name ofType { kind name ofType { kind name } } }"
}

Send this POST request to the endpoint:

# curl -X POST -H "Content-Type: application/json" -d '{"query":"\n    query IntrospectionQuery {\n      __schema {\n        queryType { name }\n        mutationType { name }\n        subscriptionType { name }\n        types {\n          ...FullType\n        }\n      }\n    }\n\n    fragment FullType on __Type {\n      kind\n      name\n      description\n      fields(includeDeprecated: true) {\n        name\n        args {\n          ...InputValue\n        }\n      }\n    }\n    fragment InputValue on __InputValue {\n      name\n    }\n  "}' http://target.local/graphql

Phase 3: Analyzing the Schema

If introspection is enabled, the server will return a massive JSON response containing the entire schema structure. Use tools to visualize and parse this data:

  • GraphQL Voyager: Paste the JSON response into GraphQL Voyager to graphically map the database relationships.
  • InQL (Burp Extension): Automatically detects introspection queries and generates a mock structure of all queries and mutations in your Repeater tab.

Phase 4: Bypassing Disabled Introspection

If the server responds with a syntax error or "GraphQL introspection is not allowed", check for partial introspection or use dictionary attacks.

  • Field Suggestion (Clairvoyance): If you misspell a field, GraphQL might say Did you mean "email"?. Tools like Clairvoyance or GraphW00f can brute force and reconstruct the schema based on these error messages.

Decision Point 🔀

flowchart TD
    A[Discover /graphql Endpoint ] --> B{Introspection Enabled? ]}
    B -->|Yes| C[Send Full __schema Query ]
    B -->|No| D[Test Field Suggestion Errors ]
    C --> E[Map Queries/Mutations ]
    D -->|Errors exist| F[Brute-force Schema (Clairvoyance) ]
    D -->|No Errors| G[Manual Fuzzing ]
    E & F --> H[Hunt for IDOR / Logic Bugs ]

🔵 Blue Team Detection & Defense

  • Disable Introspection in Production: Disable Field Suggestions: Implement Rate Limiting and Depth Limits: Key Concepts | Concept | Description | |---------|-------------|

Output Format

Graphql Introspection Abuse — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]

Findings Summary:
  [Finding 1]: [Severity] — [Brief description]
  [Finding 2]: [Severity] — [Brief description]

Detailed Results:
  Phase 1: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

  Phase 2: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
  1. [Immediate remediation step]
  2. [Long-term hardening measure]
  3. [Monitoring/detection improvement]

📚 Shared Resources

For cross-cutting methodology applicable to all vulnerability classes, see:

References

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