datahider 0.1.0

Facade that handles encryption and decryption of dictionaries using a private key from AWS secret store.

DataHider

A small Facade over Fernet and Boto3.

What for

• Turn data into a string that is
  • Encrypted, meaning it can't be tampered with
  • URL safe base 64, meaning you can use it anywhere, anyway
    • It may still have ending =s
• Decode above such strings back into data.

"Data"?

Anything accepted by json.loads. Which means any composition according to this recursive definition:

Data is

• Dictionary of str -> Data
• List of Data
• tuple of Data
• Bool
• Number
• String
• None

How not to use

Pittfall 1: AWS marks secrets for deletion and locks them

Creating a key and then deleting it results in the keyname being "locked" by AWS:

botocore.errorfactory.InvalidRequestException: An error occurred (InvalidRequestException) when calling the GetSecretValue operation: You can't perform this operation on the secret because it was marked for deletion.

AWS Secrets Manager Secrets have a default retention (recovery window) period of 30 days after deletion to give you the chance to recover it - in case it was deleted by mistake or you change your mind. So even if it shows on the AWS console as deleted, it still exists in AWS's API records, that's why Terraform has not removed it from state yet.

Pittfall 2: private keys are cached

So maybe you set the secret retention time to 0.

If you do that there's something else you need to take into account.

Each DataHider object caches the encryption key. This presents susceptibility to the following scenario:

• make instance A with keyname N (which will generate a new key K)
• make instance B with keyname N
• delete the key using B
  • A will still encrypt and decrypt without errors as the private key is cached. But any other instance will not be able to decrypt what comes out of A.
• make instance C with keyname N (which will generate a new key L)
  • A will "speak a different language" compared to instance C:
  • A uses K, but C uses L, despite both agreeing on the key name N.

In this scenario, data loss occurs when messages encrypted by A are attempted to be decrypted by C, and vice versa.

How to use

Example 1: Creating an instance of DataHider

If the key already exists, it will use the existing key. If not, it will generate a new key.

from datahider import DataHider

data_hider_instance = DataHider(keyname="your_key_name")

Example 2: Encrypting and Base64 Encoding Data

data_to_encrypt = {"user": "John Doe", "age": 25, "city": "Example City"}
encrypted_data_base64 = data_hider_instance.encrypt_and_base64(data_to_encrypt)
print(f"Encrypted and Base64 encoded data: {encrypted_data_base64}")

Example 3: Decrypting Base64 Encoded Data

decrypted_data = data_hider_instance.decrypt_base64_blob(encrypted_data_base64)
print(f"Decrypted data: {decrypted_data}")

Example 4: Removing the Key (Use with caution!)

This will delete the key from Secrets Manager. You will lose access to data encrypted with this key.

remover = data_hider_instance.dangerous_remove_key_you_will_lose_data()

Note: Make sure to handle exceptions appropriately in a production environment.

DataHider does not catch exceptions it can't handle. It does not define new exception classes.

Copyright

This code is the intellectual property of Nova Technology B.V.

Unauthorized reproduction is prohibited.