GraphQL Mesh is a GraphQL Federation framework and gateway for both GraphQL Federation and non-GraphQL Federation subgraphs, non-GraphQL services, such as REST and gRPC, and also databases such as MongoDB, MySQL, and PostgreSQL. When a user transforms on the root level or single source with transforms, and the client sends the same query with different variables, the initial variables are used in all following requests until the cache evicts DocumentNode. If a token is sent via variables, the following requests will act like the same token is sent even if the following requests have different tokens. This can cause a short memory leak but it won't grow per each request but per different operation until the cache evicts DocumentNode by LRU mechanism.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts and availability (service disruption) for affected systems. Impacting 1 product from the-guild organizations running these solutions should prioritize assessment and patching.
Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2025-02-20T21:15:26.227
2025-02-27T20:27:24.720
Analyzed
CVSSv3.1: 7.5 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | the-guild | graphql_mesh | 0.96.5 | Yes |
| Application | the-guild | graphql_mesh | 0.96.6 | Yes |
| Application | the-guild | graphql_mesh | 0.96.7 | Yes |
| Application | the-guild | graphql_mesh | 0.96.8 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For the-guild's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.