Brute Force Attack in Cockroachdb

Brute force attacks in CockroachDB typically target authentication endpoints, particularly the SQL interface and administrative APIs. Unlike traditional databases where authentication failures might be isolated to a single node, CockroachDB's distributed architecture means authentication attempts are processed across the cluster, potentially overwhelming multiple nodes simultaneously.

The most common attack vector targets the SQL interface on port 26257. Attackers iterate through common username/password combinations using tools like sqlmap or custom scripts. Because CockroachDB uses a shared-nothing architecture, each node independently processes authentication requests, meaning a single brute force attack can generate traffic across the entire cluster.

CockroachDB's role-based access control (RBAC) system, while robust, can be overwhelmed by rapid authentication attempts. The CREATE USER, ALTER USER, and DROP USER statements become vectors when attackers attempt to create new accounts or modify existing ones. The crdb_internal.node_build_info and crdb_internal.node_metrics tables can also be queried repeatedly to gather intelligence about the cluster's configuration and version.

Administrative endpoints like the HTTP interface on port 8080 and the gRPC gateway on port 26257 are also vulnerable. These interfaces may expose metadata about the cluster, including node IDs, build information, and system health, which attackers use to refine their attack strategies. The /health and /debug endpoints are particularly problematic as they often require no authentication and can be used to map the cluster topology.

Distributed denial-of-service (DDoS) attacks targeting CockroachDB often manifest as brute force attempts. Because each node processes requests independently, a coordinated attack can saturate the cluster's authentication capacity, preventing legitimate users from accessing the database. The lack of built-in rate limiting at the database level means that without external protection, these attacks can be highly effective.

Detecting brute force attacks in CockroachDB requires monitoring both database-level and system-level metrics. The crdb_internal.node_metrics table provides valuable insights into authentication patterns, showing successful vs failed login attempts over time. A sudden spike in authentication_failures combined with increased connection_attempts often indicates an ongoing attack.

Log analysis is crucial for detection. CockroachDB logs authentication failures with details including source IP, username attempted, and timestamp. Setting up log aggregation and alerting on patterns like >10 failed attempts from a single IP within 60 seconds can catch brute force attempts early. The sql_authn log component specifically tracks authentication events.

Network-level detection complements database monitoring. Tools like netstat or ss can show connection patterns to port 26257. A high number of concurrent connections from different IPs, especially with similar source ports, suggests automated scanning. Monitoring tools like Prometheus with the CockroachDB exporter can track crdb.server.sql.conns and crdb.server.sql.queries metrics to establish baseline behavior and detect anomalies.

middleBrick's black-box scanning approach is particularly effective for detecting brute force vulnerabilities in CockroachDB deployments. The scanner tests authentication endpoints without requiring credentials, identifying weak authentication mechanisms, missing rate limiting, and exposed administrative interfaces. For CockroachDB specifically, middleBrick checks for:

• Default port exposure (26257, 8080) without authentication
• Missing account lockout mechanisms
• Exposed system information through unauthenticated endpoints
• Weak password policy enforcement
• Lack of multi-factor authentication support

The scanner's LLM/AI security checks are also relevant, as attackers increasingly use AI tools to optimize brute force attacks, testing for system prompt leakage and prompt injection vulnerabilities in any AI-powered database features.

Remediating brute force vulnerabilities in CockroachDB requires a multi-layered approach combining database configuration, network security, and application-level controls. Start with CockroachDB's built-in authentication configuration:

# Configure strong authentication
SET CLUSTER SETTING server.host_based_authentication.configuration = 
'# Allow only specific IPs
host all all 192.168.1.0/24 md5
host all all ::1/128 cert
host all all 0.0.0.0/0 reject';

# Enable password complexity requirements
SET CLUSTER SETTING server.password_encryption = 'scram-sha-256';
SET CLUSTER SETTING server.password_min_length = 12;
SET CLUSTER SETTING server.password_min_letters = 2;
SET CLUSTER SETTING server.password_min_digits = 2;

Network-level controls are essential. Use a load balancer or reverse proxy with rate limiting in front of CockroachDB nodes. Nginx configuration for rate limiting:

limit_req_zone $binary_remote_addr zone=auth:10m rate=10r/s;

server {
    listen 26257;
    location / {
        limit_req zone=auth burst=20 nodelay;
        proxy_pass http://cockroachdb_cluster;
    }
}

Application-level controls add another layer. Implement exponential backoff in your application code when handling authentication failures:

const MAX_ATTEMPTS = 5;
const BASE_DELAY = 1000; // 1 second

async function authenticateWithRetry(username, password, attempt = 1) {
    if (attempt > MAX_ATTEMPTS) {
        throw new Error('Maximum authentication attempts exceeded');
    }
    
    try {
        return await db.sql.query(`SELECT * FROM users WHERE username = $1`, [username]);
    } catch (error) {
        if (error.code === 'invalid_password') {
            const delay = BASE_DELAY * Math.pow(2, attempt - 1);
            await new Promise(resolve => setTimeout(resolve, delay));
            return authenticateWithRetry(username, password, attempt + 1);
        }
        throw error;
    }
}

Monitor and alert on authentication patterns using CockroachDB's monitoring capabilities. Set up alerts for:

• >5 failed logins from a single IP in 5 minutes
• >100 total failed logins in 1 minute
• Unusual login patterns (e.g., successful logins followed by immediate failures)

For production deployments, consider using CockroachDB's enterprise features like audit logging to track all authentication attempts. The ALTER TABLE ... EXPERIMENTAL AUDIT statement can log all access attempts to sensitive tables, providing forensic data if a breach occurs.

Finally, integrate security scanning into your CI/CD pipeline using middleBrick's GitHub Action. This ensures that any changes to your CockroachDB deployment are automatically scanned for brute force vulnerabilities before production deployment:

# .github/workflows/security-scan.yml
name: Security Scan
on: [pull_request]

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run middleBrick Scan
        uses: middlebrick/middlebrick-action@v1
        with:
          target: 'http://your-cockroachdb:26257'
          fail-on-score-below: 'C'
          github-token: ${{ secrets.GITHUB_TOKEN }}