HIGH insecure deserializationrailsdynamodb

Insecure Deserialization in Rails with Dynamodb

Insecure Deserialization in Rails with Dynamodb — how this specific combination creates or exposes the vulnerability

Insecure deserialization occurs when an application accepts untrusted data and reconstructs objects from it without sufficient validation. In a Ruby on Rails application that uses Amazon DynamoDB as a persistence layer, this typically arises when serialized objects (e.g., via Marshal) are stored in DynamoDB attributes and later deserialized without verification.

DynamoDB itself is a schemaless key-value store; it does not enforce object structure or type safety. A Rails app might serialize complex structures—such as ActiveModel instances, configuration objects, or session data—using Ruby’s Marshal and store the resulting binary or string payload in a DynamoDB attribute. If an attacker can influence the content stored in DynamoDB (for example, through an injection flaw in another service or via a compromised CI/CD pipeline), they can craft malicious serialized data. When the Rails app later retrieves and deserializes that item, the payload can execute arbitrary code during instantiation, leading to remote code execution (RCE).

This risk is compounded by two factors common in DynamoDB usage patterns. First, DynamoDB Streams and Time to Live (TTL) can cause stale or malicious objects to persist and be deserialized across deployments. Second, Rails’ convention of storing serialized attributes in text or binary columns makes it easy to inadvertently call Marshal.load on user-influenced data, especially when using features like serialize with a coder that defaults to Marshal. The unauthenticated attack surface of an API that exposes DynamoDB-backed endpoints—such as lookup or export endpoints—can allow an attacker to submit or manipulate items that the app will later deserialize, turning DynamoDB into an implicit vector for object injection.

Real-world parallels exist in vulnerabilities tied to deserialization of serialized objects (e.g., CVE-2015-3225 in Ruby on Rails and CVE-2021-22886 patterns in data handling). In the context of DynamoDB, the store becomes an attacker-controlled reservoir for malicious payloads that the Rails app trusts. Because DynamoDB does not validate or interpret the content of attributes, the onus is on the application to ensure that deserialization is safe and restricted to trusted sources.

Dynamodb-Specific Remediation in Rails — concrete code fixes

To secure deserialization when using DynamoDB in Rails, avoid deserializing untrusted data and prefer safe, schema-driven representations. Below are concrete, DynamoDB-aware practices and code examples.

  • Do not use Marshal for objects stored in DynamoDB. Instead, use JSON with strict schema validation. For example, store data as JSON strings and parse with JSON.parse using a permitted symbol filter:
require 'json' # Ensure JSON is available

# Safe read with symbolized keys and permitted scalar types
data = JSON.parse(item[:payload], symbolize_names: true, max_nesting: 5)
# data is now a plain Hash with symbols; validate keys and types before use
  • If you must serialize complex Ruby objects, use ActiveModel::Serializer or Oj with mode :strict, and never use Marshal. With DynamoDB Document Client, store only primitive types (strings, numbers, booleans, lists, maps):
require 'aws-sdk-dynamodb'
require 'oj'

client = Aws::DynamoDB::Client.new(region: 'us-east-1')

# Example: store safely using Oj with strict mode
payload = Oj.dump({ user_id: 123, role: 'member' }, mode: :strict)

put_params = {
  table_name: 'Users',
  item: {
    pk: { s: 'USER#123' },
    data: { s: payload } # store as string
  }
}
client.put_item(put_params)

# Retrieve and parse safely
resp = client.get_item(key: { pk: { s: 'USER#123' } }, table_name: 'Users')
parsed = Oj.load(resp.item[:data].s, mode: :strict) # returns plain Hash
  • Validate and whitelist attributes after deserialization. Never pass deserialized objects directly to methods that may trigger code execution. For Rails models using serialize, switch to a JSON column and use store_accessor or strong parameters to control permitted fields:
class User < ApplicationRecord
  # Avoid serialize :settings, RubyCaster; use JSON column type instead
  store_accessor :settings, :theme, :notifications_enabled

  validates :theme, inclusion: { in: %w(light dark) }
  validates :notifications_enabled, inclusion: { in: [true, false] }
end
  • Enforce least privilege and isolation for DynamoDB access. Ensure IAM policies restrict the kinds of items a role can write into tables used by deserialization paths, and use DynamoDB condition expressions to reject unexpected item attributes:
get_params = {
  key: { pk: { s: 'SETTINGS#global' } },
  table_name: 'AppConfig',
  consistent_read: true
}
resp = client.get_item(get_params)
item = resp.item
# Validate expected structure before use
raise 'Invalid config' unless item[:type].s == 'config_v1'
  • Audit and monitor deserialization entry points. Log and alert on unexpected class names or nested structures if you must accept polymorphic data, and prefer explicit versioned schemas (e.g., include a schema_version field) to enable safe migrations.

Frequently Asked Questions

Can DynamoDB Streams increase deserialization risk in Rails?
Yes. Streams can propagate items containing malicious serialized data across services. Treat items from DynamoDB Streams with the same validation as any user-influenced input and avoid automatic deserialization of stream records.
Does using middleBrick reduce deserialization risks with DynamoDB and Rails?
middleBrick scans unauthenticated API endpoints and can surface insecure deserialization findings when endpoints interact with DynamoDB and perform unsafe deserialization. Use its reports to identify risky endpoints and apply the DynamoDB-specific remediations above.