GraphQL Field Suggestion Information Disclosure Scanner
This scanner detects the use of GraphQL Field Suggestion Information Disclosure in digital assets. It identifies if introspection is disabled and allows users to gain insights on the GraphQL schema. This assists in ensuring the security of GraphQL implementations.
Short Info
Level
Informational
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
15 days 21 hours
Scan only one
Domain, IPv4, Subdomain
Toolbox
-
GraphQL is a flexible and robust query language for APIs, popular for its efficiency in querying data. It is widely used by developers and organizations to create applications requiring complex data fetching. The software allows clients to request specific data shapes, optimizing network requests and enhancing performance. However, improper configurations can expose its schema, making security misconfigurations a concern. Developers leverage its capabilities in web applications, privacy protection solutions, and data-driven services. Secure configuration is crucial to preserve its benefits while maintaining data privacy and integrity.
Information Disclosure in GraphQL occurs when sensitive data about the schema is unintentionally revealed. This vulnerability can emerge if introspection capabilities are not properly controlled, allowing attackers to gather valuable insights. Field Suggestion feature may assist unintentionally by providing suggestions based on query inputs with typos. When exploited, it helps adversaries understand the data structure, increasing their potential attack surface. Securing such vulnerabilities prevents unintended access and the revelation of important backend details. It's crucial to implement appropriate security measures to prevent unauthorized schema access.
The Field Suggestion vulnerability exists in GraphQL primarily when introspection is disabled but field operations suggestions are still active. Vulnerable endpoints typically include GraphQL API URL such as "/graphql" or "/api/graphql". Attackers may send incorrect queries to obtain possible field names, thereby attempting to reconstruct the schema. The presence of "Did you mean" in responses may indicate the field suggestions feature is aiding this process. Monitoring HTTP requests containing GraphQL endpoints can help identify exploitation attempts. Hardened configurations and vigilant monitoring are vital to counteract such disclosure risks.
Exploiting the Field Suggestion vulnerability can result in the unauthorized discovery of the GraphQL schema. Attackers may gain insights into fields, mutations, and queries, potentially identifying vulnerabilities elsewhere. This increased knowledge allows adversaries to craft more effective and targeted attacks against the GraphQL implementation. It also heightens the risk of data leakage or unauthorized data manipulation via mutated queries. Securing this vulnerability is imperative to safeguard sensitive data and maintain the application's integrity. Its exploitation can have cascading effects, compromising user trust and data security.
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