Injection Flaws in Adonisjs with Api Keys

Injection flaws in AdonisJS when API keys are involved typically arise when keys are handled as raw strings that flow into dynamic queries, shell commands, or external HTTP calls. Because AdonisJS encourages a model‑based approach, developers sometimes bypass the ORM’s parameterization by concatenating user input with API‑key‑driven configuration or logging. This can lead to SQL injection, command injection, or server‑side request forgery (SSRF) when the key is used to construct URLs or sign requests.

Consider an endpoint that accepts a provider_key from a request and uses it to call an external service:

const { providerKey } = request.body()
const response = await axios.get(`https://api.example.com/data?key=${providerKey}`)

If providerKey is user‑controlled and not validated, an attacker can inject extra query parameters or fragment the URL, potentially redirecting the request to an internal service (SSRF). AdonisJS applications that log API keys as part of request diagnostics also risk unintentional data exposure when logs are aggregated or searched.

Another scenario involves using API keys in database queries, such as scoping rows by a tenant identified via a key:

const rows = await Database.from('records')
  .where('api_key', request.header('X-API-Key'))
  .andWhere('status', 'active')

If the header is not treated as a bound parameter and is instead interpolated elsewhere (for example, in dynamic table or column names), it can become a vector for injection. While AdonisJS’s query builder uses parameterization for values, developers must still avoid injecting untrusted strings into schema objects like table names, where parameterization does not apply.

LLM/AI Security checks in middleBrick highlight these patterns by detecting system prompt leakage and testing for output exposure of API keys. For example, active prompt injection probes may attempt to coax an API key from error messages or verbose stack traces. Because API keys often appear in HTTP headers and logs, they can be surfaced in model outputs or error responses if input validation and output scanning are not enforced.

Proper remediation starts with strict input validation and avoiding concatenation of untrusted data into commands or URLs. Use schema‑based validation for incoming headers and bodies, and treat API keys as opaque credentials that never enter the application logic that builds queries or commands.

Remediation focuses on validation, parameterization, and safe handling of API keys. Never construct queries or shell commands by interpolating key values. Instead, validate keys against a schema and pass them as parameters or use environment‑scoped configuration.

1) Validate API keys with Joi or Yup before use:

import { schema } from '@ioc:Adonis/Core/Validator'

const apiKeySchema = schema.create({
  api_key: schema.string({ trim: true }, [
    schema.regex('^[A-Za-z0-9\-_]+={0,2}$'),
    schema.minLength(20),
    schema.maxLength(64)
  ])
})

export default class ApiKeyValidator {
  public async validate(data: any) {
    return await schema.validate({ schema: apiKeySchema, data })
  }
}

2) Use the validated key as a parameter in database queries, never via string interpolation:

const rows = await Database.from('records')
  .where('api_key', request.header('X-API-Key'))
  .andWhere('status', 'active')

3) When calling external services, use environment variables or secure configuration for static keys, and pass user‑supplied keys only as request parameters or headers after validation:

import axios from 'axios'

const apiKey = env.get('EXTERNAL_API_KEY')
const response = await axios.get('https://api.example.com/data', {
  headers: { Authorization: `Bearer ${apiKey}` }
})

4) Avoid logging API keys. Configure Winston or Pino transports to scrub sensitive headers:

import { HttpContextContract } from '@ioc:Adonis/Core/HttpContext'

export const scrubLogger = (ctx: HttpContextContract, next: () => Promise) => {
  return next().finally(() => {
    const headers = ctx.request.headers()
    delete headers['x-api-key']
    ctx.request.headers()
  })
}

5) For runtime scanning, middleBrick’s CLI can be used in scripts to validate that endpoints do not echo API keys in responses or error messages:

// pseudo‑command for integration in CI
middlebrick scan https://api.example.com/openapi.json --checks LLM,InputValidation,DataExposure

These steps reduce the risk that API keys become vectors for injection or exposure, and they align with the checks provided by middleBrick’s Pro plan for continuous monitoring of such patterns.