Graphql Ariadne Information Disclosure Scanner

Graphql Ariadne is a Python library used to create GraphQL servers. Developers use this library to efficiently build GraphQL APIs, which can interact seamlessly with a variety of clients. The purpose of the library is to simplify the process of setting up a GraphQL endpoint that can handle queries, mutations, and subscriptions. It's widely used in production environments for backend operations where flexible data queries are needed. Ariadne facilitates the implementation of Apollo or Relay-based clients, enabling use by both small projects and larger enterprises. Its comprehensive design makes it popular among developers looking for a fast and simple way to create GraphQL services.

The vulnerability detected is related to information disclosure within Graphql Ariadne. This occurs when sensitive information is exposed to unauthorized users due to misconfigurations or inherent flaws in handling GraphQL queries. Information Disclosure vulnerabilities can lead to attackers gaining insight into the internal workings of the application. These vulnerabilities are often a result of inadequate security measures for controlling the input and output of GraphQL queries. Such exposures make it easier for attackers to exploit other vulnerabilities or craft targeted attacks.

The technical issue revolves around how GraphQL endpoints like '/graphql' or '/api/graphql' process queries containing unexpected directives such as '{@abc}'. When these directives are mishandled, it can lead to responses that unintentionally disclose information about the server setup. The detection involves sending a specific GraphQL query and analyzing the response for signs like 'Unknown directive '@abc'', which indicates a potential leak. Avoiding HTML content in error responses is also a detailed aspect of this vulnerability.

When exploited, information disclosure vulnerabilities can result in significant consequences. Attackers may use the disclosed information to understand the API structure and find further exploitable areas. Unauthorized access to configuration and error details can facilitate advanced attacks like SQL injections or authentication bypasses. Furthermore, it may expose other sensitive data inadvertently stored or processed by the GraphQL endpoint, undermining user privacy and system integrity.

REFERENCES

• https://github.com/dolevf/graphw00f/blob/main/graphw00f/lib.py