CVE intelligence and bounded remediation

CVE-2026-35441 — Directus is a real-time API and App dashboard for managing SQL database content

Medium CVSS 6.5

Directus is a real-time API and App dashboard for managing SQL database content. Prior to 11.17.0, Directus' GraphQL endpoints (/graphql and /graphql/system) did not deduplicate resolver invocations within a single request. An authenticated user could exploit GraphQL aliasing to repeat an expensive relational query many times in a single request, forcing the server to execute a large number of independent complex database queries concurrently, multiplying database load linearly with the number of aliases. The existing token limit on GraphQL queries still permitted enough aliases for significant resource exhaustion, while the relational depth limit applied per alias without reducing the total number executed. Rate limiting is disabled by default, meaning no built-in throttle prevented this from causing CPU, memory, and I/O exhaustion that could degrade or crash the service. Any authenticated user, including those with minimal read-only permissions, could trigger this condition. This vulnerability is fixed in 11.17.0.

Severity
Medium
CVSS
6.5 (3.1)
Published
2026-04-06
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-400, CWE-770

Affected products

  • monospace / directus

Matched remediation archetype

Resource exhaustion and denial of service

This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.

Check exposure

  • Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
  • Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
  • Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.

Remediate safely

  • Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
  • Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
  • Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.

Authoritative sources

Complete CVE record and remediation plan

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