Identification Failures on Cloudflare
How Identification Failures Manifests in Cloudflare — specific attack patterns, Cloudflare-specific code paths where this appears
Identification failures occur when an API or application cannot reliably distinguish one user, role, or tenant from another. In Cloudflare environments, this often maps to misconfigured Workers routes, KV namespace scoping, or Durable Object identity handling. Attack patterns include IDOR via predictable resource IDs, horizontal privilege escalation across subaccounts, and vertical escalation through misconfigured service tokens.
Cloudflare-specific code paths where this appears include:
- Workers routes that use dynamic segments without validating tenant or user context, for example
/api/organizations/:orgId/resources/:resourceIdwithout verifying that the authenticated principal belongs toorgId. - KV bindings where a namespace is shared across deployments or workers without isolating identifiers, causing one worker instance to read or write another’s data.
- Durable Objects where the entity ID is derived from user input without normalization or collision checks, enabling different users to map to the same object ID.
- Service tokens issued with overly broad bindings, allowing a token intended for read-only analytics to invoke administrative endpoints within the same zone.
Real-world examples include:
- An attacker enumerates numeric IDs in
/api/accounts/123/settingsand accesses/api/accounts/124/settingsbecause the Worker does not confirm that account 124 belongs to the same organization as account 123 (BOLA/IDOR). - A multi-tenant Worker uses a single KV namespace and stores records keyed by
userIdwithout scoping to a namespace or prefix; a different tenant’suserIdcollides, leading to cross-tenant data exposure. - Durable Object state is keyed only by an unvalidated string such as
email, enabling IDOR if an attacker guesses another user’s email.
Cloudflare-Specific Detection — how to identify this issue, including scanning with middleBrick
To detect identification failures in Cloudflare configurations, inspect route patterns, KV key design, and Durable Object entity IDs for missing tenant or user scoping. Effective checks include verifying that every dynamic segment is validated against an access control context, ensuring KV keys incorporate a namespace or prefix tied to the caller, and confirming that Durable Object IDs are deterministic, normalized, and isolated across tenants.
With middleBrick, you can scan unauthenticated attack surfaces to surface these classes of issues. For example, provide the base URL of a Cloudflare Worker that exposes endpoints like /api/v1/users/{id}; the scanner’s BOLA/IDOR checks will probe whether accessible IDs can be traversed without proper ownership verification. The OpenAPI/Swagger analysis (including full $ref resolution) will highlight paths where parameters are insufficiently constrained, and runtime probes will confirm whether responses differ across distinct identifiers.
Additional relevant checks include:
- Authentication checks to confirm whether endpoints intended for privileged operations require valid credentials or service tokens.
- Property Authorization checks to validate that fields such as
accountIdornamespaceare enforced server-side and not only hidden from the client. - Unsafe Consumption checks to identify insecure deserialization or misuse of bindings that can lead to confused deputy scenarios.
In the middleBrick Web Dashboard, you can track these findings over time and see per-category breakdowns aligned with frameworks such as OWASP API Top 10. The CLI allows you to integrate scans into scripts:
npx middlebrick scan https://api.example.com --format json
For CI/CD, the GitHub Action can fail builds if a scan returns a risk score below your chosen threshold, helping catch identification flaws before deployment. In the MCP Server, you can scan APIs directly from your AI coding assistant while iterating on Worker code.
Cloudflare-Specific Remediation — code fixes using Cloudflare's native features/libraries
Remediation focuses on enforcing strict identity scoping and validation at every boundary. Use Cloudflare-native mechanisms to ensure that identifiers are isolated and that access checks are explicit.
Key remediation strategies include:
- Embed tenant or user context into KV keys using a namespace prefix, for example
${namespace}:users:${userId}, and avoid sharing a KV namespace across unrelated workers or deployments. - In Workers, validate dynamic segments against the authenticated principal before accessing backend resources. Use
cf.env.AUTH_TOKENor service tokens with limited bindings to enforce context. - For Durable Objects, derive entity IDs with a salted hash of tenant and user identifiers to avoid collisions and ensure determinism. Always normalize inputs (trim, lowercase) before using them as keys.
- Apply service tokens with minimal bindings using Cloudflare IAM roles, and avoid issuing tokens that grant administrative scope to endpoints that only need read access.
Code examples for Cloudflare Workers:
// Validate ownership before accessing a resource
addEventListener('fetch', event => {
event.respondWith(handleRequest(event))
})
async function handleRequest(event) {
const url = new URL(event.request.url)
const orgId = url.searchParams.get('orgId')
const resourceId = url.searchParams.get('resourceId')
const authOrgId = event.request.cf?.metadata?.orgId // injected by your auth layer
if (!authOrgId || authOrgId !== orgId) {
return new Response('Forbidden', { status: 403 })
}
const key = new KeyRange(`${orgId}:resources:${resourceId}`)
const value = await RESOURCES_KV.get(key, 'json')
if (!value) {
return new Response('Not found', { status: 404 })
}
return new Response(JSON.stringify(value), { headers: { 'Content-Type': 'application/json' } })
}
Durable Object example ensuring scoped entity IDs:
export class TenantResource {
constructor(state, env) {
this.state = state
this.env = env
}
static getId(tenantId, userId) {
const normalizedTenant = tenantId.trim().toLowerCase()
const normalizedUser = userId.trim().toLowerCase()
// Deterministic, collision-resistant entity ID
return `${normalizedTenant}:${normalizedUser}`
}
async fetchData(userId) {
const id = TenantResource.getId(this.state.storage.get('tenantId'), userId)
return this.state.storage.get(id)
}
}
export default {
async fetch(request, env, ctx) {
const url = new URL(request.url)
const tenantId = url.searchParams.get('tenantId')
const userId = url.searchParams.get('userId')
const id = TenantResource.getId(tenantId, userId)
const data = await ctx.storage.get(id)
return new Response(JSON.stringify(data || {}), { headers: { 'Content-Type': 'application/json' } })
},
}
These patterns ensure that identification is enforced server-side, reducing the risk of BOLA/IDOR and cross-tenant leaks. Combine these practices with continuous scanning using middleBrick to validate that remediation is effective in your runtime configuration.