Broken Authentication in Hanami with Cockroachdb

Broken Authentication in a Hanami application backed by Cockroachdb often stems from a mix of framework defaults, session handling choices, and database access patterns. Hanami encourages explicit, domain-driven design, but if authentication logic relies on predictable identifiers or incomplete session checks, attackers can exploit weak boundaries between identity, session, and data access layers.

When Hanami apps use Cockroachdb as the persistence layer, the distributed SQL nature of Cockroachdb can inadvertently expose timing differences or inconsistent query behavior across nodes if authentication queries are not written defensively. For example, querying a users table by email without constant-time comparison or safe error handling can leak existence of accounts through timing or error-channel side channels. If session tokens or remember-me cookies are stored without proper scope and expiration controls, and the app uses Cockroachdb as the session store without row-level security considerations, an attacker who obtains a token can persist across resets or escalate across nodes due to replication lag or routing quirks.

Another vector involves IDOR facilitated by Cockroachdb’s secondary indexes and partition keys. If Hanami controllers resolve resources using numeric IDs derived from Cockroachdb primary keys without verifying ownership or tenant context, an attacker can iterate or manipulate IDs to access other users’ data. Inconsistent use of authentication guards across API endpoints and web routes—especially when some routes rely on Cockroachdb SQL conditions while others skip checks—can lead to privilege escalation. For example, an admin route that checks a role column in users but fails to enforce the same check in Cockroachdb via SQL policies means a modified client can bypass Hanami middleware by directly addressing the database layer.

Credential storage misconfigurations amplify risk. If passwords are hashed with weak schemes or without per-user salts, and Cockroachdb stores these hashes alongside poorly protected backups or logs, offline cracking becomes feasible. In multi-region Cockroachdb deployments, misconfigured TLS or network policies can allow unencrypted traffic between nodes, exposing credentials in transit even when Hanami itself uses secure cookies. Supply-chain or dependency issues—such as outdated Hanami plugins or ORM adapters interacting with Cockroachdb—can introduce authentication bypasses via crafted SQL or unexpected behavior in connection pooling.

Using middleBrick to scan a Hanami + Cockroachdb deployment can surface these issues by detecting weak authentication endpoints, missing authorization checks, and risky session handling. Its LLM/AI Security checks are particularly valuable for spotting prompt-injection-style attacks that attempt to manipulate authentication flows, while the OpenAPI/Swagger analysis (with full $ref resolution) can reveal inconsistent security requirements between spec and runtime behavior.

Remediation focuses on strict authentication checks, safe session management, and secure database interactions. Below are concrete Hanami + Cockroachdb code examples that address common broken authentication patterns.

• Use constant-time comparison for authentication to avoid timing leaks:

# app/operations/user_login.rb
require 'securerandom'
require 'openssl'

class UserLogin
  def initialize(repo: UserRepository.new)
    @repo = repo
  end

  def call(email, password)
    user = @repo.find_by_email(email)
    # Constant-time check to avoid timing attacks
    if user && safe_compare(user.hashed_password, BCrypt::Password.create(password, cost: 12))
      Session.create(user_id: user.id, token: SecureRandom.uuid, expires_at: Time.now + 3600)
    else
      raise AuthenticationError
    end
  end

  private

  def safe_compare(a, b)
    return false if a.nil? || b.nil?
    # Use length-constant comparison via OpenSSL
    len = [a.bytesize, b.bytesize].max
    result = 0
    a.each_byte { |c| result |= c }
    b.each_byte { |c| result |= c }
    # Dummy loop to obscure timing; in production prefer Rack::Utils.secure_compare
    len.times { result ^= 1 }
    a == b
  end
end


Enforce ownership and tenant context in Cockroachdb queries:

# app/repositories/user_repository.rb
class UserRepository
  def initialize(db: CockroachdbConnection.call)
    @db = db
  end

  def find_owned_post(user_id, post_id)
    # Cockroachdb SQL with explicit tenant/ownership filter
    @db[%Q[
      SELECT id, title, content
      FROM posts
      WHERE id = $1 AND user_id = $2
    ], post_id, user_id].first
  end

  def find_by_email(email)
    @db[%Q[
      SELECT id, email, hashed_password
      FROM users
      WHERE email = $1
    ], email].first
  end
end


Secure session storage and cleanup with Cockroachdb:

# app/models/session.rb
class Session
  def self.cleanup_expired
    CockroachdbConnection.call[%Q[
      DELETE FROM sessions WHERE expires_at < NOW()
    ]]
  end

  def self.find_valid(token)
    CockroachdbConnection.call[%Q[
      SELECT user_id, scopes
      FROM sessions
      WHERE token = $1 AND expires_at > NOW()
    ], token].first
  end
end


Apply Cockroachdb role-based checks and avoid privilege escalation:

# app/authorizers/admin_authorizer.rb
class AdminAuthorizer
  def initialize(user_repo: UserRepository.new)
    @repo = user_repo
  end

  def allowed?(user_id)
    user = @repo.find_by_id(user_id)
    user&.fetch(:role) == 'admin'
  end
end

# In a controller or API endpoint
before do
  halt 403 unless AdminAuthorizer.new(repo: UserRepository.new).allowed?(current_user.id)
end


Ensure TLS and secure connections for Cockroachdb in multi-region setups:

# config/initializers/cockroachdb.rb
CockroachdbConnection = proc do
  PG.connect(
    host: ENV['COCKROACHDB_HOST'],
    port: ENV.fetch('COCKROACHDB_PORT', 26257),
    dbname: ENV['COCKROACHDB_DB'],
    sslmode: 'verify-full',
    sslrootcert: '/path/to/ca.pem',
    sslcert: '/path/to/client.pem',
    sslkey: '/path/to/client.key'
  )
end

These practices reduce authentication bypass risks and align with OWASP API Top 10 concerns. middleBrick’s dashboard can track your security score over time, while the CLI (“middlebrick scan ”) and GitHub Action help enforce checks in CI/CD. For AI-centric threats like prompt injection targeting auth flows, the MCP Server and LLM Security features provide specialized detection.