Insecure Design in Adonisjs with Cockroachdb
Insecure Design in Adonisjs with Cockroachdb — how this specific combination creates or exposes the vulnerability
Insecure design in an AdonisJS application using CockroachDB often stems from mismatched assumptions about transactional guarantees and from missing authorization checks at the service layer. CockroachDB provides strong consistency and serializable isolation, which can lead developers to rely on database-level correctness while omitting application-level authorization and validation. This combination creates a risk where business logic flaws are not caught even when SQL constraints are respected.
For example, consider an endpoint that transfers credits between users. An insecure design might read the balance in one query and update it in another without ensuring the operation is performed within a properly scoped transaction or without verifying that the requesting subject owns the source account. Because CockroachDB supports distributed transactions, developers might assume that ACID properties alone prevent race conditions or improper state changes. In practice, missing ownership checks or insecure direct object references (IDOR) allow an authenticated user to manipulate any account identifier by changing numeric IDs in requests. This is a BOLA/IDOR issue rooted in insecure design rather than a database bug.
Input validation design can also be insecure when schemas and models do not enforce strict constraints that match CockroachDB’s expectations. AdonisJS models may accept user input for fields such as account_id or tenant_id and forward them directly to CockroachDB queries. If these values are not validated against the authenticated user’s permissions, an attacker can supply arbitrary IDs to access or modify data belonging to other tenants or accounts. Similarly, insufficient rate-limiting design at the application level can allow enumeration or brute-force attacks against user identifiers, even when CockroachDB enforces uniqueness constraints.
Another insecure design pattern is improper error handling and logging that leak database or schema details. AdonisJS may surface raw CockroachDB errors in responses during development or misconfigured logging, revealing table names, column types, or constraint violations. This information can be used to refine injection or enumeration attacks. Design decisions that store sensitive metadata in logs or expose internal identifiers in API responses amplify data exposure risks.
Finally, insecure design may appear in how background jobs or scheduled tasks interact with CockroachDB. If jobs are not scoped by tenant or user permissions, they might process records they should not access. For instance, a job that iterates over all rows in a table without applying tenant isolation can expose cross-tenant data. Secure design requires explicit tenant filtering and permission checks within job logic, not only at the request layer.
Cockroachdb-Specific Remediation in Adonisjs — concrete code fixes
To remediate insecure design when using AdonisJS with CockroachDB, apply authorization checks at the service or repository layer, enforce strict input validation, and scope all database operations to the requesting user or tenant. Below are concrete code examples demonstrating secure patterns.
1. Parameterized queries with tenant scoping
Always include tenant or user identifiers in queries and use parameterized statements to avoid injection and ensure data isolation.
import { BaseQuery } from '@ioc:Adonis/Lucid/Orm'
import Account from 'App/Models/Account'
export class AccountRepository {
public async getByIdForUser(id: number, userId: string) {
const account = await Account.query()
.where('id', id)
.where('user_id', userId)
.preload('settings')
.firstOrNull()
if (!account) {
throw new Error('Not found')
}
return account
}
}
2. Explicit transaction with verification
Wrap sensitive operations in a transaction and verify ownership before committing. CockroachDB’s serializable isolation helps, but application logic must enforce rules.
import Database from '@ioc:Adonis/Lucid/Database'
export class TransferService {
public async transfer(fromId: string, toId: string, amount: number) {
await Database.transaction(async (trx) => {
const fromAccount = await trx
.from('accounts')
.where('id', fromId)
.where('user_id', currentUser.id) // enforce ownership
.forUpdate()
.first()
if (!fromAccount || fromAccount.balance < amount) {
throw new Error('Insufficient funds or invalid account')
}
await trx.rawQuery(`
UPDATE accounts SET balance = balance - ? WHERE id = ?
`, [amount, fromId])
await trx.rawQuery(`
UPDATE accounts SET balance = balance + ? WHERE id = ?
`, [amount, toId])
})
}
}
3. Input validation with schema enforcement
Use AdonisJS schemas to validate IDs and tenant context before they reach the database layer.
import { schema } from '@ioc:Adonis/Core/Validator'
const transferSchema = schema.create({
fromId: schema.string({ trim: true }, [ rules.uuid() ]),
toId: schema.string({ trim: true }, [ rules.uuid() ]),
amount: schema.number([ rules.unsigned(), rules.min(1) ])
})
export const validateTransfer = async (ctx: HttpContext) => {
const validated = await schema.validate({
schema: transferSchema,
data: ctx.request.only(['fromId', 'toId', 'amount'])
})
// proceed with validated data
return validated
}
4. Error handling that avoids information leakage
Standardize error responses and disable verbose CockroachDB errors in production.
import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'
export const errorHandler = (error: any, { response }: HttpContextContract) => {
if (error.name === 'QueryTimeoutError' || error.code === '28P01') {
response.status(500).json({ message: 'Request failed' })
return
}
// generic handling to avoid leaking schema details
response.status(500).json({ message: 'Internal server error' })
}
5. Securing background jobs
Ensure scheduled jobs filter by tenant or user and do not operate on global sets without checks.
import Task from '@ioc:Adonis/Addons/Scheduler'
import Account from 'App/Models/Account'
Task.register('cleanup:tenant-data', async () => {
const tenantId = getTenantFromContext() // derive from secure context
await Account.query().where('tenant_id', tenantId).deleteByBatch(1000)
})