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kubernetes-graphql-gateway: GraphQL Endpoint Vulnerable to Authenticated Denial-of-Service via Unrestricted Query Execution

Moderate severity GitHub Reviewed Published Apr 7, 2026 in platform-mesh/kubernetes-graphql-gateway • Updated Apr 8, 2026

Package

gomod github.com/platform-mesh/kubernetes-graphql-gateway (Go)

Affected versions

<= 1.2.8

Patched versions

1.2.9

Description

CVSS 6.5 Medium — The GraphQL API served by kubernetes-graphql-gateway is vulnerable to Denial-of-Service (DoS) attacks due to a complete absence of query resource controls (depth limiting, complexity analysis, response size capping, and rate limiting). An authenticated attacker can craft queries that force the server to compute and serialize multi-megabyte responses, consuming significant CPU, memory, and network bandwidth. Repeated requests can exhaust server resources and degrade or deny service to legitimate users.

Note: A previous version of this advisory (based on pre-v1 code) documented an unauthenticated attack surface via an HTTP GET method bypass in the former registry.go. That bypass has been removed in v1 — all requests now require a Bearer token. The CVSS score has been adjusted from 7.5 to 6.5 accordingly (Privileges Required: None → Low). CWE-306 (Missing Authentication for Critical Function) no longer applies.

Root Cause

The kubernetes-graphql-gateway uses the graphql-go/graphql library (v0.8.1) with the graphql-go/handler HTTP handler. The handler is instantiated in gateway/gateway/graphql/graphql.go with only cosmetic configuration — no resource limits:

// gateway/gateway/graphql/graphql.go — CreateHandler()
func (s *GraphQLServer) CreateHandler(schema *graphql.Schema) *GraphQLHandler {
    graphqlHandler := handler.New(&handler.Config{
        Schema:     schema,
        Pretty:     s.config.Pretty,
        Playground: s.config.Playground,
        GraphiQL:   s.config.GraphiQL,
    })
    return &GraphQLHandler{
        Schema:  schema,
        Handler: graphqlHandler,
    }
}

The handler.Config struct does not include MaxDepth, MaxComplexity, MaxResponseSize, or any equivalent fields. Neither the graphql-go/handler nor the underlying graphql-go/graphql library provides built-in query depth or complexity analysis.

The application configuration (gateway/gateway/config/config.go) has no fields for resource limits:

// gateway/gateway/config/config.go — GraphQL config
type GraphQL struct {
    Pretty     bool
    Playground bool
    GraphiQL   bool
}

No rate limiting, throttling, or request size controls exist anywhere in the codebase.

Authentication Model

All requests pass through the HTTP handler in gateway/http/http.go, which extracts a Bearer token and injects it into the request context:

// gateway/http/http.go — Token extraction (applied to all methods)
s.Handle("/api/clusters/{clusterName}", http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
    clusterName := r.PathValue("clusterName")
    authHeader := r.Header.Get("Authorization")
    token := strings.TrimPrefix(authHeader, "Bearer ")
    ctx := utilscontext.SetToken(r.Context(), token)
    ctx = utilscontext.SetCluster(ctx, clusterName)
    c.Gateway.ServeHTTP(w, r.WithContext(ctx))
}))

The token is enforced at the Kubernetes API layer via gateway/gateway/roundtripper/bearer.go, which returns HTTP 401 for requests without a valid token. However, the GraphQL execution engine (query parsing, schema validation, introspection) still runs before the Kubernetes API is contacted — meaning authenticated users can trigger expensive operations that consume server resources without hitting the K8s API at all.

Attack Vectors

1. Nested Introspection Field Expansion

The GraphQL schema contains 3,508 types (Kubernetes resources + platform CRDs). Introspection meta-fields (__schema, __type) allow recursive field expansion. Each additional nesting level multiplies the response size exponentially. A single full introspection query generates ~5.2 MB of response data in ~1.15s.

2. Parallel Request Amplification

Without rate limiting, an authenticated attacker can issue many concurrent expensive queries. 5 parallel requests generate ~18.6 MB total response in under 4 seconds with no throttling. At scale (e.g. 999 concurrent requests), the backend becomes unresponsive and returns 503 to all users.

3. Subscription Resource Exhaustion

The HandleSubscription() method in gateway/gateway/graphql/graphql.go processes SSE (Server-Sent Events) subscription requests. A malicious authenticated client can open many subscription channels simultaneously, holding server connections and memory indefinitely:

// gateway/gateway/graphql/graphql.go — HandleSubscription()
subscriptionChannel := graphql.Subscribe(subscriptionParams)
for res := range subscriptionChannel {
    // ... marshal and flush indefinitely ...
}

There is no limit on the number of concurrent subscriptions, no idle timeout, and no per-client connection cap.

4. Deep Query Execution

Authenticated users can submit arbitrarily deep and complex GraphQL queries. The GraphQL execution engine processes the full query — consuming CPU and memory for schema validation, field resolution, and error/response formatting — before any Kubernetes API authorization is checked. The request handling in gateway/gateway/endpoint/endpoint.go passes directly to the handler with no query guards:

// gateway/gateway/endpoint/endpoint.go — ServeHTTP()
func (e *Endpoint) ServeHTTP(w http.ResponseWriter, r *http.Request) {
    if e.handler == nil || e.handler.Handler == nil {
        http.Error(w, "Endpoint not ready", http.StatusServiceUnavailable)
        return
    }
    if r.Header.Get("Accept") == "text/event-stream" {
        e.graphqlServer.HandleSubscription(w, r, e.handler.Schema)
        return
    }
    e.handler.Handler.ServeHTTP(w, r)
}

Impact

  • Availability (High): Service denial achievable — concurrent expensive queries cause backend to become unresponsive (503 for all users). With 3,508 types and no depth limits, each introspection query generates a ~5.2 MB response. The absence of rate limiting, query complexity controls, and response size caps allows an authenticated attacker to exhaust server CPU, memory, and bandwidth.
  • Confidentiality (None): Information disclosure is covered in a separate finding.
  • Integrity (None): No data modification possible.

Affected Components

  • gateway/gateway/graphql/graphql.go — Handler creation with no resource limits; subscription handler with no connection limits
  • gateway/gateway/endpoint/endpoint.go — Direct passthrough to handler, no query depth/complexity middleware
  • gateway/gateway/config/config.go — No configuration fields for resource limits
  • gateway/http/http.go — No rate limiting middleware
  • graphql-go/graphql library — No built-in depth/complexity limiting
  • graphql-go/handler — No resource limit configuration options

Recommendations

  1. Disable Introspection in Production — As a defense-in-depth measure, disable introspection in non-development environments. This removes the highest-cost query path. If GraphiQL/Playground must remain accessible for development, gate it behind an environment flag.
  2. Implement Query Depth and Complexity Limiting — Implement middleware that parses the query AST and rejects queries exceeding configurable thresholds before execution. Recommended maximum depth: 10 levels. Assign cost values to fields and enforce a maximum query cost budget — introspection meta-fields (__schema, __type) should carry elevated costs. Alternatively, consider migrating to a GraphQL library with built-in depth/complexity support (e.g., gqlgen with its complexity extension, or graph-gophers/graphql-go with its MaxDepth option).
  3. Implement Rate Limiting and Response Size Controls — Add per-user rate limiting on the GraphQL endpoint. Suggested thresholds: 60 requests/minute for authenticated users, 2 requests/minute for introspection queries. Cap response payload size (e.g., 5 MB). For subscriptions, enforce maximum concurrent connections per client, idle timeouts, and maximum subscription duration.
  4. Add Resource Limit Configuration — Extend the GraphQL struct in gateway/gateway/config/config.go to expose all resource limits (max query depth, max complexity, max response size, rate limit thresholds) as configurable parameters. This ensures all protective thresholds can be tuned per environment without code changes.

References

Classification

  • CWE-770 — Allocation of Resources Without Limits or Throttling
  • CWE-400 — Uncontrolled Resource Consumption
  • OWASP Top 10 2021: A05:2021 — Security Misconfiguration
  • OWASP API Security Top 10: API4:2023 — Unrestricted Resource Consumption
  • STRIDE: Denial of Service (D)

Internal Reference

HASI2026141-32 — Due: 2026-04-16

References

Published to the GitHub Advisory Database Apr 8, 2026
Reviewed Apr 8, 2026
Last updated Apr 8, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS score

Weaknesses

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-h9mw-h4qc-f5jf
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