python-pqc-wrapping 0.0.14

AEAD encryption using Post Quantum Cryptography (ML-KEM)

Python AEAD encryption using Post Quantum Cryptography (ML-KEM)

This is a simple python library and cli using ML-KEM to wrap encrypt/decrypt arbitrary data.

This is basically hybrid encryption where an ML-KEM keypair's public key is used to generate a sharedSecret which is used as an AES-GCM encryption key ultimately used to encrypt the data.

This library also supports Google Cloud KMS ML-KEM

NOTE: this library is note supported by Google and is just experimental

Also see:

• NIST Post-Quantum Cryptography Project

• crypto: post-quantum support roadmap

• Key Encapsulation ML-KEM

• Internet X.509 Public Key Infrastructure - Algorithm Identifiers for the Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM)

• Post-Quantum Cryptography (PQC) scratchpad

• go-pqc-wrapping

• Post-Quantum Cryptography (PQC) scratchpad

• golang-jwt for post quantum cryptography

This library currently use liboqs-python which itself has a dependency on C and installation of liboqs.so. Eventually, when there's a pure-python implementation of mlkem, i'll use that instead. see pyca/cryptography/issues/12824.

QuickStart

Using docker image from example/Dockerfile

docker run -v /dev/urandom:/dev/urandom -ti salrashid123/openssl-liboqs-python

   git clone https://github.com/salrashid123/python_pqc_wrapping.git
   cd python_pqc_wrapping/example/

   virtualenv env
   source env/bin/activate
   pip3 install  python-pqc-wrapping

   # encrypt
   python3 encrypt.py

   # decrypt   
   python3 decrypt.py

   ### to print key details
   openssl pkey -in certs/bare-seed-768.pem -text
   openssl asn1parse -inform PEM -in certs/bare-seed-768.pem

   openssl asn1parse -inform PEM -in certs/pub-ml-kem-768-bare-seed.pem

Setup

First install liboqs-python

apt install astyle cmake gcc ninja-build libssl-dev python3-pytest python3-pytest-xdist unzip xsltproc doxygen graphviz python3-yaml valgrind git

git clone --depth=1 https://github.com/open-quantum-safe/liboqs

cmake -S liboqs -B liboqs/build  -DBUILD_SHARED_LIBS=ON 
cmake --build liboqs/build --parallel 8
cmake --build liboqs/build --target install

# if you want a different installation directory (eg /apps/liboqs), 
### add -DCMAKE_INSTALL_PREFIX=/apps/liboqs  to the configure command above.
### when running the samples, set the env var  
### export OQS_INSTALL_PATH=/apps/liboqs

also on

• https://pypi.org/project/python-pqc-wrapping
• https://test.pypi.org/project/python-pqc-wrapping

if you alreeady have liboqs installed,

export OQS_INSTALL_PATH=/path/to/liboqs
pip install python-pqc-wrapping

---

• Usage
  • Key Generation
  • Library
    • Encrypt
    • Decrypt
• Wrapped Key format
  • Client Data
  • Versions
• GCP KMS
• Build
• Openssl key formats
• References

---

Usage

If you want to encrypt data intended for a remote system, the remote system must first generate an ML-KEM key pair and share the public key

If Bob wants to encrypt data for Alice

Alice generates MK-KEM keypair (pub.pem, priv.pem)

Alice shares pub.pem with Bob

Encrypt (Bob):

1. generate encapsulation data

   kemSharedSecret, kemCipherText = ML_KEM_Encapsulate( pub.pem )

2. Use kemSharedSecret as the AEAD key to encrypt plainText

   cipherText = AEAD_Encrypt( key=kemSharedSecret, plainText )

3. Bob sends [ kemCipherText, cipherText ] to Alice

Decrypt (Alice):

4. kemSharedSecret = ML_KEM_Decapsulate( priv.pem, kemCipherText )

5. plaintext = AEAD_Decrypt( kemSharedSecret, cipherText )

This ofcourse extends how ml-kem is used by employing the kemSharedSecret as a wrapping AES256-GCM encryptionKey. For reference the basic flow is described here in FIPS 203 (page 12)

Key Generation

This repo only support PEM encoded files which encodes the bare-seed. See the #openssl-key-formats section below.

The PEM file itself is described in draft-ietf-lamps-kyber-certificates-11 where just the seed is required (see seciton C.1.2.1. Seed Format)

To generate a key, simply openssl 3.5.0+ which you can get in a dockerfile format at Post-Quantum Cryptography (PQC) scratchpad.

or with openssl

$ openssl -version
    OpenSSL 3.5.0-dev  (Library: OpenSSL 3.5.0-dev )

### generate ML-KEM-768
$ openssl genpkey  -algorithm mlkem768 \
   -provparam ml-kem.output_formats=bare-seed \
   -out priv-ml-kem-768-bare-seed.pem

openssl pkey  -in priv-ml-kem-768-bare-seed.pem  -pubout -out pub-ml-kem-768-bare-seed.pem

If your openssl version does not support mlkem, you can use a dockerfile

docker run -v /dev/urandom:/dev/urandom -ti salrashid123/openssl-pqs:3.5.0-dev

The example/util folder contains two samples

• example/util/to_pem.py

  this generates a key from a known seed and create the public and private PEM key files. Just comment out the static seed to create new keys.

• example/util/from_pem.py

  this reads a PEM public and private key and creates an mlkem client and server

if you want ot use go, see this example

Library

Encrypt

To encrypt, you need to provide the PEM format of the ML-KEM public key:

from python_pqc_wrapping import BaseWrapper

public_key_file_path= 'certs/pub-ml-kem-768-bare-seed.pem'
with open(public_key_file_path, 'r') as f:
    public_key_string = f.read()

client_data = '{"foo":"bar"}'
be = BaseWrapper(publicKey=public_key_string,keyName="mykey", clientData=client_data)

en = be.encrypt(plaintext="foo".encode('utf-8'), aad="myaad".encode('utf-8'))
print(en)

Decrypt

To decrypt, you need to provide the PEM bare-seed format of the public key.

from python_pqc_wrapping import BaseWrapper

private_key_file_path= 'certs/bare-seed-768.pem'
with open(private_key_file_path, 'r') as f:
    private_key_string = f.read()

with open("/tmp/encrypted.json", 'r') as file:
    encrypted_data = file.read()

client_data = '{"foo":"bar"}'
bd = BaseWrapper(privateKey=private_key_string, clientData=client_data)

dn = bd.decrypt(blob_info=encrypted_data, aad="myaad".encode('utf-8'))
print(dn)

see example/ folder:

Client Data

You can also embed additional arbitrary JSON data into the protobuf as client_data structure. This data is not included in the encryption and is not directly related to the AdditionalData (AAD) associated with aes-gcm.

The client data field is instead just unencrypted/unverified data you can associate with the encoded key.

However, you can canonicalize the client_data as JSON, hash that and use that hash value as the AAD. In effect, the client_data can then be used as part of the integrity calculation.

For example, if the client data is

	"clientData": {
		"location": {
			"region": "us",
			"zone": "central"
		},
		"provider": "pqc"
	}

Note that you can specify the client data either in the overall wrapper config or during each encrypt/decrypt method. TODO: If specified in the encrypt/decrypt methods, it takes priority.

GCP KMS

This library also supports encapsulation using GCP KMS MLKEM

To use this mode, first create a kms key

gcloud kms keyrings create kem_kr --location=global

gcloud kms keys create kem_key_1 \
    --keyring kem_kr \
    --location global \
    --purpose "key-encapsulation" \
    --default-algorithm ml-kem-768 \
    --protection-level "software"


gcloud kms keys versions get-public-key 1 \
    --key kem_key_1 \
    --keyring kem_kr \
    --location global  \
    --output-file /tmp/kem_pub.nist \
    --public-key-format nist-pqc

The extract the public key into PEM format:

$ openssl --version
  OpenSSL 3.5.0-dev  (Library: OpenSSL 3.5.0-dev )

$ { echo -n "MIIEsjALBglghkgBZQMEBAIDggShAA==" | base64 -d ; cat /tmp/kem_pub.nist; } | openssl asn1parse -inform DER -in -
    0:d=0  hl=4 l=1202 cons: SEQUENCE          
    4:d=1  hl=2 l=  11 cons: SEQUENCE          
    6:d=2  hl=2 l=   9 prim: OBJECT            :ML-KEM-768
   17:d=1  hl=4 l=1185 prim: BIT STRING        

$ cd example/
$ { echo -n "MIIEsjALBglghkgBZQMEBAIDggShAA==" | base64 -d ; cat /tmp/kem_pub.nist; } \
   | openssl pkey -inform DER -pubin -pubout -out certs/pub-ml-kem-768-kms.pem

then if your environment is authorized to access the key (eg, GOOGLE_APPLICATION_CREDENTIALS service account below has access to the key above).

The uri you will specify to decrypt is set with the kms uri prefixed with gcpkms://. For example

private_key_file_path= 'gcpkms://projects/core-eso/locations/global/keyRings/kem_kr/cryptoKeys/kem_key_1/cryptoKeyVersions/1'

bd = BaseWrapper(privateKey=private_key_file_path, clientData=client_data, decrypt=True)

Wrapped Key format

There are two levels of encryption involved with this library and is best described in this flow:

• Encrypt

1. Read the ML-KEM Public key and generate sharedCiphertext and sharedSecret

      sharedCiphertext, shared_secret_server = server.encap_secret(public_key_bytes)
   

2. Create new direct aes-gcm client and set shared_secret_server as the key. Finally, prepend the nonce/iv to the iv into the ciphertext

      aesgcm = AESGCM(shared_secret_server)
      nonce = os.urandom(self.DEFAULT_IV_SIZE)
      ciphertext = nonce + aesgcm.encrypt(nonce, plaintext, aad)
   

• ciphertext: the encrypted data wrapped using kemSharedSecret amd already includes the initialization vector
• wrappedKey: the ML-KEM sharedCiphertext

{
	"ciphertext": "bQAifHrc2qo1WRpGW6vyWlKHd2QeTSt1WZZOxlHj7g==",
	"keyInfo": {
		"keyId": "myname",
		"wrappedKey": "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"
	}
}

If you base64decode the wrappedKey

• kemCipherText the ML-KEM ciphertext (eg sharedCiphertext). Once this is decapsulated, this becomes an AES GCM

The decoded keyfile is:

{
  "name": "myname",
  "version": 1,
  "type": "ml_kem_768",
  "kemCipherText": "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"
}

If you want to use cli to decode everything run

$ cat /tmp/encrypted.json  | jq -r '.'
$ cat /tmp/encrypted.json  | jq -r '.keyInfo.wrappedKey' | base64 -d - | jq -r '.'

Versions

The following lists the Version values used in the encoding of the key.

Its important to decrypt using a cli or library version which is consistent with the proto or key encoding formats.

KeyVersion	Date
2	1/2/26

Build

If you want to regenerate with protoc:

$ /usr/local/bin/protoc --version
   libprotoc 25.1


$ /usr/bin/protoc --proto_path=/usr/include/  -I/usr/include/  -I ./ --include_imports --proto_path=pqcwrappb/ \
     --experimental_allow_proto3_optional --include_source_info  \
       --descriptor_set_out=pqcwrappb/wrap.proto.pb  --pyi_out=.   --python_out=.  pqcwrappb/wrap.proto pqcwrappb/blobwrap.proto

To test locally,

python3 setup.py sdist bdist_wheel

cd example
virtualenv env
source env/bin/activate

pip3 install ../
## depending on the variant provider
# pip3 install -r requirements-gcp.txt 

### to deploy/upload
# virtualenv env 
# source env/bin/activate
# python3 -m pip install --upgrade build
# python3 -m pip install --upgrade twine
# python3 -m build
# python3 -m twine upload --repository testpypi dist/*
# python3 -m twine upload  dist/*

Openssl key formats

Openssl PEM files encodes a custom 'format' prefix as shown here.

For example, if you generated the key with a seed-only, the PEM file will have a prefix of 0x8040 for the raw key:

$  openssl asn1parse -inform PEM -in  example/certs/bare-seed-768.pem 
    0:d=0  hl=2 l=  82 cons: SEQUENCE          
    2:d=1  hl=2 l=   1 prim: INTEGER           :00
    5:d=1  hl=2 l=  11 cons: SEQUENCE          
    7:d=2  hl=2 l=   9 prim: OBJECT            :ML-KEM-768
   18:d=1  hl=2 l=  64 prim: OCTET STRING      [HEX DUMP]:67E6BC81C846808002CED71BBF8A8C4195AF2A37614C4C81C0B649601B29BEAA33CBFF214A0DC459749362C8B3D4DD7C754A0D611D51D3449C2FA47C1DC49C5E

$  openssl asn1parse -inform PEM -in  example/certs/seed-only-768.pem 
    0:d=0  hl=2 l=  84 cons: SEQUENCE          
    2:d=1  hl=2 l=   1 prim: INTEGER           :00
    5:d=1  hl=2 l=  11 cons: SEQUENCE          
    7:d=2  hl=2 l=   9 prim: OBJECT            :ML-KEM-768
   18:d=1  hl=2 l=  66 prim: OCTET STRING      [HEX DUMP]:804067E6BC81C846808002CED71BBF8A8C4195AF2A37614C4C81C0B649601B29BEAA33CBFF214A0DC459749362C8B3D4DD7C754A0D611D51D3449C2FA47C1DC49C5E

For a list of all prefixes:

static const ML_COMMON_PKCS8_FMT ml_kem_768_p8fmt[NUM_PKCS8_FORMATS] = {
    { "seed-priv",  0x09aa, 0, 0x308209a6, 0x0440, 6, 0x40, 0x04820960, 0x4a, 0x0960, 0,      0,     },
    { "priv-only",  0x0964, 0, 0x04820960, 0,      0, 0,    0,          0x04, 0x0960, 0,      0,     },
    { "oqskeypair", 0x0e04, 0, 0x04820e00, 0,      0, 0,    0,          0x04, 0x0960, 0x0964, 0x04a0 },
    { "seed-only",  0x0042, 2, 0x8040,     0,      2, 0x40, 0,          0,    0,      0,      0,     },
    { "bare-priv",  0x0960, 4, 0,          0,      0, 0,    0,          0,    0x0960, 0,      0,     },
    { "bare-seed",  0x0040, 4, 0,          0,      0, 0x40, 0,          0,    0,      0,      0,     },
};

Note, you can extract the seed from a key using openssl:

$ openssl pkey -in example/certs/seed-only-768.pem -text          
      ML-KEM-768 Private-Key:
      seed:
         67:e6:bc:81:c8:46:80:80:02:ce:d7:1b:bf:8a:8c:
         41:95:af:2a:37:61:4c:4c:81:c0:b6:49:60:1b:29:
         be:aa:33:cb:ff:21:4a:0d:c4:59:74:93:62:c8:b3:
         d4:dd:7c:75:4a:0d:61:1d:51:d3:44:9c:2f:a4:7c:
         1d:c4:9c:5e

Which as hex is 67E6BC81C846808002CED71BBF8A8C4195AF2A37614C4C81C0B649601B29BEAA33CBFF214A0DC459749362C8B3D4DD7C754A0D611D51D3449C2FA47C1DC49C5E

Since this repo only supports the bare-seed key, you'll need to convert it

## create a key with default seed-priv (implicitly by default or by specifying  ml-kem.output_formats )
openssl genpkey  -algorithm mlkem768   -out priv-ml-kem-768-seed-priv.pem
openssl asn1parse -in priv-ml-kem-768-seed-priv.pem

openssl genpkey  -algorithm mlkem768 \
   -provparam ml-kem.output_formats=seed-priv \
   -out priv-ml-kem-768-seed-priv.pem
openssl asn1parse -in priv-ml-kem-768-seed-priv.pem

## print the  seed
openssl pkey -in priv-ml-kem-768-seed-priv.pem -text  

   ML-KEM-768 Private-Key:
   seed:
      bf:bd:29:76:bd:01:87:e3:75:0e:5c:46:4e:fc:e0:
      5a:0a:b6:ca:0a:b4:0c:f7:c4:90:08:1b:54:83:1f:
      12:18:25:50:15:7f:49:e0:24:7b:92:b7:b9:b2:de:
      49:21:74:53:71:9a:81:71:c6:cd:15:83:23:da:d2:
      c6:6d:ef:2b

### now convert
openssl pkey -in priv-ml-kem-768-seed-priv.pem \
   -provparam ml-kem.output_formats=bare-seed \
   -out priv-ml-kem-768-bare-seed.pem

### and veify the seed is the same
openssl pkey -in priv-ml-kem-768-bare-seed.pem -text
   ML-KEM-768 Private-Key:
   seed:
      bf:bd:29:76:bd:01:87:e3:75:0e:5c:46:4e:fc:e0:
      5a:0a:b6:ca:0a:b4:0c:f7:c4:90:08:1b:54:83:1f:
      12:18:25:50:15:7f:49:e0:24:7b:92:b7:b9:b2:de:
      49:21:74:53:71:9a:81:71:c6:cd:15:83:23:da:d2:
      c6:6d:ef:2b

also see

• OpenSSL Position and Plans on Private Key Formats for the ML-KEM and ML-DSA Post-quantum (PQ) Algorithms
• Let’s All Agree to Use Seeds as ML-KEM Keys

Ml-KEM x509 Certificate

You can also encode the ML-KEM public key within a signed x509 certificate. For details, see ml-kem x509

References

• Go-TPM-Wrapping - Go library for encrypting data using Trusted Platform Module (TPM)
• Go-PQC-Wrapping - Go library for encrypting data using Trusted Platform Module (TPM)