Command Injection in Strapi with Cockroachdb

Command Injection occurs when untrusted input is passed to a system command without proper validation or sanitization. In Strapi, a Node.js-based headless CMS, this risk arises when developers use plugins or custom code to execute shell commands—often to interact with databases, file systems, or external services. When CockroachDB is used as the backend database, the exposure typically does not come from CockroachDB itself, but from how Strapi code handles data before it reaches the database or how it invokes operating system utilities.

Consider a scenario where Strapi uses Node.js child_process or exec to run shell commands for database maintenance or data transformation. If user-controlled data (e.g., an HTTP request parameter, query field, or uploaded file name) is concatenated into these commands, an attacker can inject arbitrary shell commands. For example, if a Strapi controller dynamically builds a CockroachDB SQL script using string interpolation and passes it to a shell utility, malicious input like '; DROP TABLE users; -- could alter command behavior.

Strapi’s flexible plugin architecture increases the attack surface. Developers might write custom services that invoke external tooling (e.g., cockroach sql) to perform migrations or backups. If these services use unsanitized input in constructing command-line arguments, command injection becomes feasible. Even when using an ORM like Sequelize with CockroachDB, unsafe usage of raw queries with concatenated values can open doors for injection-like behaviors, especially if the ORM layer is bypassed.

The LLM/AI Security checks in middleBrick specifically test for prompt injection and output leakage, but for traditional API endpoints, the scanner evaluates input validation and unsafe consumption patterns. A scan of a Strapi API using CockroachDB would flag endpoints where shell commands are constructed from request data, highlighting the lack of input sanitization and the potential for unauthorized command execution.

Real-world attack patterns mirror known CVEs in similar stacks, where improperly escaped inputs lead to remote code execution. The risk is compounded when Strapi runs with elevated system privileges, allowing injected commands to affect the host environment, including database operations or file manipulation.

To mitigate Command Injection in Strapi when using CockroachDB, always avoid constructing shell commands with user input. Prefer using built-in database drivers or ORM methods that separate code from data. Below are concrete, safe patterns for interacting with CockroachDB in Strapi.

1. Use the CockroachDB Node.js driver with parameterized queries

Instead of building SQL strings, use parameterized queries to ensure user input is treated strictly as data.

const { Client } = require('cockroachdb');

const client = new Client({
  connectionString: 'postgresql://user:password@host:26257/dbname?sslmode=require',
});

async function getUserById(userId) {
  try {
    await client.connect();
    const result = await client.query('SELECT * FROM users WHERE id = $1', [userId]);
    return result.rows[0];
  } finally {
    await client.end();
  }
}

2. Leverage Strapi entities and services safely

When using Strapi’s entity service, rely on built-in query methods rather than raw execution. If raw queries are necessary, use placeholders correctly.

// Safe: Using Strapi's entity service
const entries = await strapi.entityService.findMany('api::user.user', {
  filters: { id: userId },
});

// If using a custom repository with TypeORM (CockroachDB compatible)
const userRepository = strapi.db.getRepository('user');
const user = await userRepository.findOneBy({ id: userId });

3. Avoid shell command construction entirely

If you must run shell commands (e.g., for backups), use hardcoded scripts and pass data via environment variables or files, never via direct concatenation.

const { execFile } = require('child_process');

execFile('/usr/local/bin/cockroach', ['sql', '--execute', 'SELECT 1'], (error, stdout) => {
  if (error) {
    console.error('Execution error:', error);
    return;
  }
  console.log('Output:', stdout);
});

4. Validate and sanitize all inputs

Even when using safe query methods, validate input types and ranges. Use libraries like Joins or Zod within Strapi’s validation layer.

// Example input validation in a Strapi controller
const { string } = require('joi');

const userIdSchema = string().pattern(/^\d{1,10}$/);

async function safeController(ctx) {
  const { error, value } = userIdSchema.validate(ctx.params.id);
  if (error) {
    ctx.badRequest('Invalid user ID');
    return;
  }
  const user = await getUserById(value);
  ctx.body = user;
}

5. Use middleBrick to detect vulnerable patterns

Run scans using the CLI or GitHub Action to identify endpoints where shell commands are built from request data. The scanner checks input validation and unsafe consumption, helping you find risky code paths before deployment.

# Scan your API endpoint with middlebrick CLI
middlebrick scan https://api.example.com/openapi.json