Broken Authentication in Cassandra

Broken authentication in Cassandra applications typically emerges through improper session management and credential handling patterns that are specific to Cassandra's architecture. Unlike traditional relational databases, Cassandra's distributed nature creates unique authentication vulnerabilities that developers must address.

One common manifestation occurs when applications fail to properly validate user permissions across Cassandra's multi-datacenter architecture. For example, a user authenticated in one datacenter might retain elevated privileges when accessing data in another datacenter without proper revalidation. This happens when applications cache authentication tokens without implementing datacenter-specific permission checks.

Consider this vulnerable code pattern:

const cassandra = require('cassandra-driver');

const client = new cassandra.Client({
  contactPoints: ['127.0.0.1'],
  localDataCenter: 'datacenter1',
  credentials: { username: 'admin', password: 'default' }
});

This code hardcodes administrative credentials, creating a severe broken authentication risk. If this configuration file is exposed through version control or deployment artifacts, attackers gain immediate administrative access to the entire Cassandra cluster.

Another Cassandra-specific vulnerability involves improper handling of Lightweight Transactions (LWT). Applications might implement optimistic locking without proper authentication checks, allowing authenticated users to modify data they shouldn't access:

// Vulnerable: No authorization check before LWT
const query = 'SELECT * FROM users WHERE user_id = ? IF NOT EXISTS';
const result = await client.execute(query, [userId], { prepare: true });

The critical issue here is that the application trusts the client-provided userId without verifying the authenticated user's permissions to access or modify that specific user record.

Token-based authentication flaws also manifest uniquely in Cassandra applications. When developers implement custom JWT tokens for Cassandra API access without proper validation, attackers can forge tokens or reuse expired tokens:

// Vulnerable: Weak token validation
const token = req.headers.authorization.split(' ')[1];
const decoded = jwt.decode(token); // No signature verification!
const userId = decoded.sub;

This code decodes JWT tokens without verifying signatures, allowing attackers to create arbitrary tokens and impersonate any user in the Cassandra database.

Detecting broken authentication in Cassandra requires understanding both the database's authentication mechanisms and the application's access patterns. middleBrick's scanning approach specifically targets Cassandra's unique authentication surface.

middleBrick identifies hardcoded credentials through pattern matching across configuration files, environment variables, and source code. The scanner detects patterns like:

// middleBrick identifies these as high-risk patterns
const client = new cassandra.Client({
  credentials: { username: 'admin', password: 'password123' }
});

The scanner also tests for improper role-based access control (RBAC) implementation. Cassandra's native RBAC allows granular permission assignment, but applications often bypass these controls:

// middleBrick tests for missing RBAC validation
const query = 'SELECT * FROM sensitive_data WHERE user_id = ?';
const result = await client.execute(query, [userId]); // No permission check

middleBrick's LLM security module specifically tests for prompt injection vulnerabilities in AI-powered Cassandra applications. When Cassandra serves as a backend for AI features, attackers might inject malicious prompts through data inputs that get stored and later processed by language models:

// middleBrick tests for AI-specific injection patterns
const userInput = req.body.searchTerm;
const query = `SELECT * FROM products WHERE name LIKE '%${userInput}%'`;
await client.execute(query);

The scanner actively tests for SSRF vulnerabilities that could expose Cassandra's native authentication endpoints. Many Cassandra deployments expose JMX interfaces for management, and if these are accessible through the application layer, attackers can bypass application authentication entirely.

middleBrick also validates proper token expiration and rotation mechanisms. The scanner tests whether authentication tokens have appropriate TTL values and whether the application properly handles token refresh scenarios without creating authentication gaps.

Effective remediation of broken authentication in Cassandra applications requires leveraging Cassandra's native security features while implementing application-layer controls. Here are specific code patterns that address common vulnerabilities:

First, implement proper role-based access control at the database level:

// Secure: Use Cassandra's native RBAC
const client = new cassandra.Client({
  contactPoints: ['127.0.0.1'],
});

// Application handles authentication, database handles authorization
const authMiddleware = async (req, res, next) => {
  const token = req.headers.authorization;
  const userId = await validateToken(token);
  req.user = await getUserPermissions(userId);
};

This pattern separates authentication (handled by the application) from authorization (handled by Cassandra's RBAC). Create database roles that match application permissions:

// CQL for role creation
CREATE ROLE IF NOT EXISTS app_user;
GRANT SELECT ON keyspace1.table1 TO app_user;
GRANT INSERT ON keyspace1.table2 TO app_user;

For token-based authentication, implement proper JWT validation with signature verification:

const jwt = require('jsonwebtoken');

const authMiddleware = async (req, res, next) => {
  const token = req.headers.authorization?.split(' ')[1];
  if (!token) return res.status(401).json({ error: 'Missing token' });

  try {
    const decoded = jwt.verify(token, process.env.JWT_SECRET, {
      algorithms: ['HS256']
    });
    req.user = decoded;
    next();
  } catch (err) {
    return res.status(401).json({ error: 'Invalid token' });
  }
};

Address Lightweight Transaction vulnerabilities by implementing proper permission checks before LWT operations:

const updateUserData = async (userId, newData) => {
  // Verify user has permission to update this record
  const hasPermission = await canUserUpdateRecord(userId, newData.recordId);
  if (!hasPermission) {
    throw new Error('Permission denied');
  }

  const query = 'UPDATE users SET data = ? WHERE user_id = ? IF EXISTS';
  await client.execute(query, [newData, userId], { prepare: true });
};

Implement proper session management with timeout handling:

const cassandra = require('cassandra-driver');

class SecureCassandraClient {
  constructor() {
    this.client = new cassandra.Client({
      contactPoints: ['127.0.0.1'],
      localDataCenter: 'datacenter1'
    });
    this.lastActivity = Date.now();
  }

  async executeWithAuthCheck(query, params) {
    this.refreshSessionIfExpired();
    return await this.client.execute(query, params, { prepare: true });
  }

  refreshSessionIfExpired() {
    const timeout = 30 * 60 * 1000; // 30 minutes
    if (Date.now() - this.lastActivity > timeout) {
      this.reauthenticate();
    }
    this.lastActivity = Date.now();
  }
}

For AI-powered Cassandra applications, implement input sanitization to prevent prompt injection:

const sanitizeInput = (input) => {
  // Remove potential prompt injection patterns
  return input.replace(/(
|
)/g, ' ').trim();
};

const safeQuery = async (userInput) => {
  const sanitized = sanitizeInput(userInput);
  const query = 'SELECT * FROM products WHERE description LIKE ?';
  return await client.execute(query, [`%${sanitized}%`], { prepare: true });
};