Securely search encrypted database fields
Securely search encrypted database fields
Works with Lockbox (full example) and attr_encrypted (full example)
Learn more about securing sensitive data in Rails
We use this approach by Scott Arciszewski. To summarize, we compute a keyed hash of the sensitive data and store it in a column. To query, we apply the keyed hash function to the value we’re searching and then perform a database search. This results in performant queries for exact matches. Efficient LIKE queries are not possible, but you can index expressions.
An important consideration in searchable encryption is leakage, which is information an attacker can gain. Blind indexing leaks that rows have the same value. If you use this for a field like last name, an attacker can use frequency analysis to predict the values. In an active attack where an attacker can control the input values, they can learn which other values in the database match.
Here’s a great article on leakage in searchable encryption. Blind indexing has the same leakage as deterministic encryption.
Add this line to your application’s Gemfile:
gem "blind_index"Your model should already be set up with Lockbox or attr_encrypted. The examples are for a User model with has_encrypted :email or attr_encrypted :email. See the full examples for Lockbox and attr_encrypted if needed.
Also, if you use attr_encrypted, generate a key.
Create a migration to add a column for the blind index
add_column :users, :email_bidx, :string
add_index :users, :email_bidx # unique: true if neededAdd to your model
class User (v) { v.downcase }
endYou can use blind indexes for uniqueness validations.
class User (v) { v.presence }
validates :email, uniqueness: {allow_blank: true}
endFor case_sensitive: false, use:
class User (v) { v.downcase }
validates :email, uniqueness: true # for best performance, leave out {case_sensitive: false}
endYou may want multiple blind indexes for an attribute. To do this, add another column:
add_column :users, :email_ci_bidx, :string
add_index :users, :email_ci_bidxUpdate your model
class User (v) { v.downcase }
endBackfill existing records
BlindIndex.backfill(User, columns: [:email_ci_bidx])And query away
User.where(email_ci: "[email protected]")If you don’t need to store the original value (for instance, when just checking duplicates), use a virtual attribute:
class User { changes.key?(:first_name) || changes.key?(:last_name) }
def set_initials
self.initials = "#{first_name[0]}#{last_name[0]}"
end
endIf you’re encrypting a column and adding a blind index at the same time, use the migrating option.
class User Be sure to include the inspect at the end or it won’t be encoded properly in YAML.
For Mongoid, use:
class User
field :email_bidx, type: String
index({email_bidx: 1})
endThis is optional for Lockbox, as its master key is used by default.
Generate a key with:
BlindIndex.generate_keyStore the key with your other secrets. This is typically Rails credentials or an environment variable (dotenv is great for this). Be sure to use different keys in development and production. Keys don’t need to be hex-encoded, but it’s often easier to store them this way.
Set the following environment variable with your key (you can use this one in development)
BLIND_INDEX_MASTER_KEY=ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffor create config/initializers/blind_index.rb with something like
BlindIndex.master_key = Rails.application.credentials.blind_index_master_keyUnfortunately, blind indexes can’t be used for LIKE, ILIKE, or full-text searching. Instead, records must be loaded, decrypted, and searched in memory.
For LIKE, use:
User.select { |u| u.email.include?("value") }For ILIKE, use:
User.select { |u| u.email =~ /value/i }For full-text or fuzzy searching, use a gem like FuzzyMatch:
FuzzyMatch.new(User.all, read: :email).find("value")If the number of records is large, try to find a way to narrow it down. An expression index is one way to do this, but leaks which records have the same value of the expression, so use it carefully.
Set default options in an initializer with:
BlindIndex.default_options = {algorithm: :pbkdf2_sha256}By default, blind indexes are encoded in Base64. Set a different encoding with:
class User (v) { [v].pack("H*") }
endBy default, blind indexes are 32 bytes. Set a smaller size with:
class User < ApplicationRecord
blind_index :email, size: 16
endSet a key directly for an index with:
class User < ApplicationRecord
blind_index :email, key: ENV["USER_EMAIL_BLIND_INDEX_KEY"]
endYou can generate blind indexes from other languages as well. For Python, you can use argon2-cffi.
from argon2.low_level import Type, hash_secret_raw
from base64 import b64encode
key = '289737bab72fa97b1f4b081cef00d7b7d75034bcf3183c363feaf3e6441777bc'
value = '[email protected]'
bidx = b64encode(hash_secret_raw(
secret=value.encode(),
salt=bytes.fromhex(key),
time_cost=3,
memory_cost=2**12,
parallelism=1,
hash_len=32,
type=Type.ID
))One alternative to blind indexing is to use a deterministic encryption scheme, like AES-SIV. In this approach, the encrypted data will be the same for matches. We recommend blind indexing over deterministic encryption because:
View the changelog
Everyone is encouraged to help improve this project. Here are a few ways you can help:
To get started with development and testing:
git clone https://github.com/ankane/blind_index.git
cd blind_index
bundle install
bundle exec rake testFor security issues, send an email to the address on this page.
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