Transparent and customizable field-level encryption at rest for Prisma based on prisma-field-encryption package.
$ yarn add prisma-field-encryption
# or
$ npm i prisma-field-encryption
Note: this requires Prisma 3.8.0 or higher.
import { PrismaClient } from '@prisma/client'
import { fieldEncryptionMiddleware } from 'prisma-field-encryption'
export const client = new PrismaClient()
// This is a function, don't forget to call it:
client.$use(fieldEncryptionMiddleware())
Tip: place the middleware as low as you need cleartext data.
Any middleware registered after field encryption will receive encrypted data for the selected fields.
You can use two distinct configuration setups. The first is using encryption key and the other way is using your own encrypt/decript functions and logic:
⚠️ Both ways are mutually exclusive, so using one of the configurations prevents you from using the other.
Generate an encryption key:
- Via a web UI: cloak.47ng.com
- Via the command line:
$ cloak generate
Note: the
cloak
CLI comes pre-installed withprisma-field-encryption
as part of the@47ng/cloak
dependency.
The preferred method to provide your key is via the PRISMA_FIELD_ENCRYPTION_KEY
environment variable:
# .env
PRISMA_FIELD_ENCRYPTION_KEY=k1.aesgcm256.DbQoar8ZLuUsOHZNyrnjlskInHDYlzF3q6y1KGM7DUM=
You can also pass it directly in the configuration:
client.$use(
fieldEncryptionMiddleware({
// Don't version hardcoded keys though, this is an example:
encryptionKey: 'k1.aesgcm256.DbQoar8ZLuUsOHZNyrnjlskInHDYlzF3q6y1KGM7DUM='
})
)
Tip: a key provided in code will take precedence over a key from the environment.
⚠️ When using this method you will not be able to perform queries using encrypted fields.
Using your own functions is useful when you want full control over the cryptograph logic or whe you want to perform queries over encrypted fields, since you can use some static encryption algorithm. as static encryptions always generate the same hash for similar texts, you can encrypt the search field before performing the query.
First of all you must define your encryp/decrypt functions and pass then directly in the middleware config.
The following example shows using the native nodejs crypto module to perform encryption and decryption:
import crypto from 'crypto'
function cipher(decrypted: unknown): string {
const cipher = crypto.createCipheriv(
'aes-256-gcm',
process.env.CRYPTO_SALT,
process.env.CRYPTO_IV
)
return cipher.update(decrypted, 'utf-8', 'hex')
}
function decipher(encrypted: string): unknown {
const decipher = crypto.createDecipheriv(
'aes-256-gcm',
process.env.CRYPTO_SALT,
process.env.CRYPTO_IV
)
return decipher.update(encrypted, 'hex', 'utf-8')
}
client.$use(
fieldEncryptionMiddleware({
encryptFn: (decrypted: unknown) => cipher(decrypted),
decryptFn: (encrypted: string) => decipher(encrypted)
})
)
Note: a valid encrypt function must always receive a value(it can be any valid DB data) and return a encrypted string. The opposite is valid for the decryption function.
In your Prisma schema, add /// @encrypted
to the fields you want to encrypt:
model Post {
id Int @id @default(autoincrement())
title String
content String? /// @encrypted <- annotate fields to encrypt
published Boolean @default(false)
author User? @relation(fields: [authorId], references: [id], onDelete: Cascade, onUpdate: Cascade)
authorId Int?
}
model User {
id Int @id @default(autoincrement())
email String @unique
name String? /// @encrypted <- can be optional
posts Post[]
}
Tip: make sure you use a triple-slash. Double slash comments won't work.
Make sure you have a generator for the Prisma client:
generator client {
provider = "prisma-client-js"
}
Then generate it using the prisma
CLI:
$ prisma generate
You're done!
Adding encryption to an existing field is a transparent operation: Prisma will encrypt data on new writes, and decrypt on read when data is encrypted, but your existing data will remain in clear text.
Encrypting existing data should be done in a migration. The package comes with a built-in automatic migration generator, in the form of a Prisma generator:
generator client {
provider = "prisma-client-js"
previewFeatures = ["interactiveTransactions"]
}
generator fieldEncryptionMigrations {
provider = "prisma-field-encryption"
output = "./where/you/want/your/migrations"
}
Tip: the migrations generator makes use of the interactiveTransactions
preview feature. Make sure it's enabled on your Prisma Client generator.
Your migrations directory will contain:
- One migration per model
- An
index.ts
file that runs them all concurrently
All migrations files follow the same API:
export async function migrate(
client: PrismaClient,
reportProgress?: ProgressReportCallback
)
The progress report callback is optional, and will log progress to the console if ommitted.
A progress report is an object with the following fields:
model
: The model nameprocessed
: How many records have been processedtotalCount
: How many records were present at the start of the migrationperformance
: How long it took to update the last record (in ms)
Note: because the totalCount is only computed once, additions or deletions while a migration is running may cause the final processedCount to not equal totalCount.
Records will be iterated upon by increasing order of a cursor field.
A cursor field has to respect the following constraints:
- Be
@unique
- Not be encrypted itself
By default, records will try to use the @id
field.
Note: Compound
@@id
primary keys are not supported.
If the @id
field does not satisfy cursor constraints, the generator will
fallback to the first field that satisfies those constraints.
If you wish to iterate over another field, you can do so by annotating the
desired field with @encryption:cursor
:
model User {
id Int @id // Generator would use this by default
email String @unique /// @encryption:cursor <- iterate over this field instead
}
Migrations will look for cursor fields in your models in this order:
- Fields explictly annotated with
@encryption:cursor
- The
@id
field - The first
@unique
field
If no cursor is found for a model with encrypted fields, the generator will
throw an error when running prisma generate
.
This library is based on @47ng/cloak, which comes with key management built-in. Here are the basic principles:
- You have one current encryption key
- You can have many decryption keys for existing data
This allows seamless rotation of the encryption key:
- Generate a new encryption key
- Add the old one to the decryption keys
The PRISMA_FIELD_DECRYPTION_KEYS
can contain a comma-separated list of keys
to use for decryption:
PRISMA_FIELD_DECRYPTION_KEYS=key1,key2,key3
Or specify keys programmatically:
prismaClient.$use(
fieldEncryptionMiddleware({
decryptionKeys: [
'k1.aesgcm256.DbQoar8ZLuUsOHZNyrnjlskInHDYlzF3q6y1KGM7DUM='
// Add other keys here. Order does not matter.
]
})
)
Tip: the current encryption key is already part of the decryption keys, no need to add it there.
Key rotation on existing fields (decrypt with old key and re-encrypt with the new one) is done by data migrations.
Roadmap:
- Provide multiple decryption keys
- Add facilities for migrations & key rotation
- Add compatibility with @47ng/cloak keychain environments
You can only encrypt String
fields.
You cannot filter on encrypted fields:
// User.name has an /// @encrypted annotation
// This will always return empty results:
prisma.user.findUnique({ where: { name: 'secret' } })
This is because the encryption is not deterministic: encrypting the same input multiple times will yield different outputs, due to the use of random initialisation vectors. Therefore Prisma cannot match the query to the data.
For the same reason, indexes should not be placed on encrypted fields.
Raw database access operations are not supported.
Adding encryption adds overhead, both in storage space and in time to run queries, though its impact hasn't been measured yet.
The middleware reads the Prisma AST (DMMF) to find annotations (only triple-slash comments make it there) and build a list of encrypted Model.field pairs.
When a query is received, if there's input data to encrypt (write operations), the relevant fields are encrypted. Then the encrypted data is sent to the database.
Data returned from the database is scanned for encrypted fields, and those are attempted to be decrypted. Errors will be logged and any unencrypted data will be passed through, allowing seamless setup.
The generated data migrations files iterate over models that contain encrypted
fields, record by record, using the interactiveTransaction
preview feature to
ensure that a record is not overwritten by other concurrent updates.
Because of the transparent encryption provided by the middleware, iterating over records looks like a no-op (reading then updating with the same data), but this will take care of:
- Encrypting fields newly
/// @encrypted
- Rotating the encryption key when it changed
- Decrypting fields where encryption is being disabled with
/// @encrypted?readonly
. Once that migration has run, you can remove the annotation on those fields.
Some data is sensitive, and it's easy to give read access to the database to a contractor or have backups end up somewhere they shouldn't be.
For those cases, encrypting the data per-field can make sense.
An example use-case is Two Factor authentication TOTP secrets: your app needs them to authenticate your users, but nobody else should have access to them.
Cipher used: AES-GCM with 256 bit keys.
🚨 DO NOT USE THIS TO ENCRYPT PASSWORDS WITHOUT ADDITIONAL SECURITY MEASURES 🚨
Passwords should be hashed & salted using a slow, constant-time one-way function. However, this library could be used to encrypt the salted and hashed password as a pepper to provide an additional layer of security. It is recommended that the encryption key be stored in a Hardware Security Module on the server.
For hashing passwords, don't reinvent the wheel: use Argon2id if you can, otherwise scrypt.
MIT - Made with ❤️ by François Best
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