Injection Flaws in Feathersjs with Cockroachdb

Injection vulnerabilities occur when untrusted data is interpreted as part of a command or query. In a Feathersjs application using Cockroachdb, this typically arises when query parameters or payload fields are concatenated into raw SQL without proper sanitization. Although Feathersjs abstracts database access through services and adapters, developers using a custom Cockroachdb adapter or raw query hooks may inadvertently build dynamic queries with string interpolation. This creates a path for SQL injection, where an attacker can manipulate the intended query logic, bypass authentication, or extract data.

Feathersjs hooks provide a convenient point for injection risks. For example, a hook that merges query parameters directly into a raw SELECT statement using string concatenation can be exploited. Consider a search endpoint that builds a Cockroachdb query like SELECT * FROM users WHERE email = '${req.query.email}'. An attacker could supply an email value such as ' OR '1'='1, turning the query into a tautology that returns all rows. This is an injection flaw rooted in unsafe query construction rather than a Cockroachdb limitation, but Cockroachdb’s SQL compatibility means standard SQL injection techniques apply.

Another vector involves dynamic table or column names. If a Feathersjs service conditionally chooses a table name based on user input, and that input is interpolated into the SQL string, an attacker may attempt to terminate the intended query and append malicious statements. For example, a parameter table=users; DROP TABLE sessions-- could lead to unintended schema modification if input validation is absent. Cockroachdb supports multiple statements in some drivers when not properly parameterized, increasing the impact of such injection. The risk is not inherent to Cockroachdb but emerges from how Feathersjs integrates with it when developers prioritize convenience over strict input handling.

Authentication and BOLA/IDOR checks in middleBrick scans can detect endpoints where query parameters are reflected without proper authorization checks. Injection flaws often coexist with broken access control, where an attacker manipulates an id parameter to access or modify another user’s record. In Feathersjs, this can happen if a service does not scope queries to the authenticated user. For instance, a raw query like SELECT * FROM profiles WHERE id = ${id} without verifying that the profile belongs to the requester enables both injection and authorization issues. The combination of injection and authorization bugs amplifies the potential impact, allowing an attacker to extract or alter data beyond their permissions.

Real-world exploitation patterns align with OWASP API Top 10’s A03:2021 Injection. In a Feathersjs + Cockroachdb stack, this can manifest as unauthorized data exfiltration or schema manipulation. MiddleBrick’s LLM/AI Security checks are not designed to detect SQL injection, but its standard security scans evaluate authentication, input validation, and property authorization to highlight endpoints where injection risks are likely. By correlating runtime findings with spec definitions, middleBrick can surface high-risk query patterns that warrant deeper review.

Remediation centers on using parameterized queries and strict input validation. Avoid building SQL strings with concatenation; instead, rely on query builders or prepared statements that separate data from commands. Validate and sanitize all inputs, especially fields used in dynamic table or column references. Enforce per-request authorization to ensure users can only access their own data. These practices reduce injection risk and align with secure coding guidance for Feathersjs integrations with Cockroachdb.

Secure integration with Cockroachdb in Feathersjs requires disciplined query construction and input handling. Below are concrete code examples demonstrating safe practices.

• Use a parameterized query with a Cockroachdb client. For example, using pg (the PostgreSQL-compatible driver Cockroachdb accepts), pass parameters as an array rather than interpolating values:

const { Client } = require('pg');
const client = new Client({ connectionString: 'your-cockroachdb-url' });
await client.connect();

// Safe parameterized query
const result = await client.query('SELECT * FROM users WHERE email = $1', [email]);
console.log(result.rows);
await client.end();

• In a Feathersjs service, use hooks to sanitize and validate input before it reaches the adapter. For a custom Cockroachdb adapter, ensure the hook replaces unsafe patterns with parameterized equivalents:

const feathers = require('@feathersjs/feathers');
const express = require('@feathersjs/express');
const app = express(feathers());

app.configure(express.rest());
app.use('/secure-data', {
  async find(params) {
    const email = params.query.email;
    if (typeof email !== 'string') {
      throw new Error('Invalid email');
    }
    // Use a safe client call; adapter should handle parameterization
    return params.app.get('dbClient').query('SELECT * FROM entries WHERE email = $1', [email]);
  }
});

• Validate and constrain dynamic table or column names against a whitelist. Never directly interpolate user input into identifiers:

const allowedTables = ['users', 'profiles', 'settings'];
const tableName = req.query.table;
if (!allowedTables.includes(tableName)) {
  throw new Error('Invalid table name');
}
// Safe: table name is from a controlled list
const result = await client.query(`SELECT * FROM ${tableName} WHERE owner_id = $1`, [userId]);

• Apply per-request authorization in hooks to enforce ownership or roles. This prevents BOLA even if an injection vector is partially mitigated:

app.service('messages').hooks({
  before: {
    async get(id, params) {
      const userId = params.user.id;
      const record = await params.app.get('dbClient').query(
        'SELECT * FROM messages WHERE id = $1 AND user_id = $2',
        [id, userId]
      );
      if (!record.rows.length) {
        throw new errors.GeneralError('Not found', { code: 404 });
      }
      return record.rows[0];
    }
  }
});

• For OpenAPI-driven development, ensure generated clients and server stubs avoid raw concatenation. middleBrick’s OpenAPI/Swagger spec analysis can highlight paths where query parameters are used in raw queries, supporting manual review and secure refactoring.

By combining parameterized queries, strict input validation, and scoped authorization, developers can mitigate injection risks specific to Cockroachdb while maintaining compatibility with Feathersjs service patterns.