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https://github.com/inmcm/kravatte
Implementation of Kravatte Encryption Suite
https://github.com/inmcm/kravatte
authenticated-encryption authentication cipher-suites cryptography farfalle keccak multiprocessing numpy python3 security
Last synced: 18 days ago
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Implementation of Kravatte Encryption Suite
- Host: GitHub
- URL: https://github.com/inmcm/kravatte
- Owner: inmcm
- License: mit
- Created: 2018-02-20T03:33:40.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-12-02T18:01:59.000Z (almost 6 years ago)
- Last Synced: 2024-05-19T06:09:14.481Z (6 months ago)
- Topics: authenticated-encryption, authentication, cipher-suites, cryptography, farfalle, keccak, multiprocessing, numpy, python3, security
- Language: Python
- Size: 752 KB
- Stars: 15
- Watchers: 5
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.rst
- License: LICENSE
Awesome Lists containing this project
README
Kravatte Achouffe Cipher Suite in Python/NumPy
==============================================
An implementation, in Python3, of the
`Kravatte `__ pseudo-random function
and associated modes based on the `Farfalle
PRF `__ system. At its core,
Kravatte accepts a user defined secret key and a sequence of input bytes
to generate pseudo-random output of arbitrary size. From this primitive, a
number of authenticated encryption modes can be built.
Kravatte makes use of the
`Keccak `__
permutation, most notably used in NIST’s `FIPS 202 SHA-3
algorithm `__.
Because the underlying structure of Keccak function works on a
three-dimensional state of 1600 bits, it maps well to a 5x5 matrix of
64-bit unsigned integers. As such, the `NumPy `__
computational library is a natural fit to quickly manipulate such a
structure and thus is a hard requirement.
This implementation reflects the updated, more secure Kravatte
**Achouffe** released in late 2017. The older ``Kravatte 6644`` logic is
available within this repo as well.
Also supported are the `Kravatte-SANE and Kravatte-SANSE `__
session based modes. These modes replace the deprecated Kravatte-SAE and Kravatte-SIV modes and
utilizes the ``Deck-SANE`` and ``Deck-SANSE`` modes described in the `Xoodoo Cookbook `__.
Installation
------------
Kravatte can be easily installed from `pypi `__ via ``pip``:
.. code:: bash
$ pip install kravatte
If ``pip`` is unavailable, this repo can be cloned and setup can be done manually:
.. code:: bash
$ python setup.py install
Kravatte Object
---------------
The basic ``Kravatte`` object operates on two Keccak-1600 state matrices;
the collector state and the key state. Instantiating a ``Kravatte`` object
initializes the key state with provided user key and sets the collector
state to zeros.
.. code:: python
In [1]: from kravatte import Kravatte
In [2]: my_krav = Kravatte(b'1234567890')
The newly initialized ``Kravatte`` object is now ready to accept input
strings of bytes for absorption into the collector state via the
``collect_message`` method. Repeated calls to ``collect_message`` are
equivalent to ``B ◦ A`` sequences as described in the the Farfalle
spec:
.. code:: python
In [3]: input_a = b'The quick brown fox jumps over the lazy dog'
In [4]: my_krav.collect_message(input_a)
In [5]: input_b = b'3533392d36302d35313235'
In [6]: my_krav.collect_message(input_b)
Once absorbing message strings is complete, the ``Kravatte`` object can
produce an arbitrary number of pseudo-random output bytes via the
``generate_digest`` method. Those bytes are then available in the
``digest`` attribute:
.. code:: python
In [7]: output_bytes = 64
In [8]: my_krav.generate_digest(output_bytes)
In [9]: from binascii import hexlify
In [10]: hexlify(my_krav.digest)
Out[10]: b'8a0fc89899e058dedd368b60111bf4958f4f24216bbac76936471e6f7c3958b881c38c8e829ff07bf137701917b3e49ab392e93f3b2abfc714f90c0ca023124d'
The absorb/output sequence can be restarted with another call to
``collect_message``. This clears the collector state and resets the key
state to its initialized value. Alternatively, the user may change to a
new secret key with the ``update_key`` method to reinitialize the key
state used at the start of message absorption.
When a Kravatte object has reached the end of its usable lifetime, the ``scrub`` method
can be used to try and cleanup interim state and key data in resident memory. This method is executed by default
on the standalone functions ``mac``, ``siv_wrap``, ``siv_unwrap``, and is available in all Kravatte derived classes.
*NOTE* This method only clears the sensitive attributes ``collector``, ``kra_key``, and ``roll_key`` and shouldn't be
considered applicable when using the multi-process accelerated mode.
MAC
---
The most basic mode of ``Kravatte`` is an authenticated pseudo-random
function (PRF). ``Kravatte`` can absorb an arbitrary sized user message and
key, and output an arbitrary collection of pseudo-random bytes that can
act as a message authentication code. The ``mac`` does this in a single step:
.. code:: python
In [1] from kravatte import mac
In [2] from binascii import hexlify
In [3] message = b'Attack at Dawn!'
In [4] key = b'something_secret'
In [5] mac_size = 64
In [6] g = mac(key, message, mac_size)
In [7] hexlify(g)
Out[7] b'24f61fc5fd38fef7f3d799ed72b24578c4479e1c035c70d8bc55ce23d74124255d5e8a0c5dd33aa36d5289f1e4e995a19be804d97bb338fa875e01e3c2d2dd51'
Kravatte-SANE
-------------
``Kravatte-SANE`` mode is a session based method of AEAD. Given a random
nonce and secret key, this mode encrypts a sequence of plaintext
messages and/or metadata into appropriately sized ciphertexts and a validation
tags. The sequence of plaintext/metadata is tracked as a history that
builds a chain of authentication from message to message and requires
all generated ciphertexts to be processed to fully decrypt and verify.
A separate ``KravatteSANE`` class is provided that adds the history
tracking for each encryption operation done via the ``wrap`` method.
Encrypt
~~~~~~~
.. code:: python
In [1]: from os import urandom
In [2]: from binascii import hexlify
In [3]: from time import monotonic
In [4]: my_nonce=urandom(32)
In [5]: hexlify(my_nonce)
Out[5]: b'41c48803e34eefd9ac1d39d3412d3e32592173fbcdd1b60d85dc177ae7156733'
In [6]: message1=b'Nice List:'
In [7]: meta1=str(monotonic()).encode()
In [8]: message2=b'Alice,Bob'
In [9]: meta2=str(monotonic()).encode()
In [10]: message3=b'Naughty List:'
In [11]: meta3=str(monotonic()).encode()
In [12]: message4=b'Chuck, Eve'
In [13]: meta4=str(monotonic()).encode()
In [14]: my_sane = KravatteSANE(my_nonce,my_key)
In [15]: ctext_1, tag_1 = my_sane.wrap(message1, meta1)
In [16]: hexlify(ctext_1)
Out[16]: b'4b42fef9cb5a6ce69d78'
In [17]: hexlify(tag_1)
Out[17]: b'169e7eb0f63cebd70efb779ff45a67f0'
In [18]: ctext_2, tag_2 = my_sane.wrap(message2, meta2)
In [19]: ctext_3, tag_3 = my_sane.wrap(message3, meta3)
In [20]: ctext_4, tag_4 = my_sane.wrap(message4, meta4)
For decryption and validation, the ``unwrap`` method accepts the
ciphertext, original metadata, and validation tag to not only decrypt
the plaintext, but return a boolean if the decrypted plaintext is valid
within the chain of messages.
Decrypt
~~~~~~~
.. code:: python
In [21]: decrypt_sane = KravatteSANE(my_nonce,my_key)
In [22]: ptext_1, tag_valid1 = decrypt_sane.unwrap(ctext_1, meta1, tag_1)
In [23]: ptext_1
Out[23]: b'Nice List:'
In [24]: tag_valid1
Out[24]: True
In [25]: ptext_2, tag_valid2 = decrypt_sane.unwrap(ctext_2, meta2, tag_2)
In [26]: tag_valid2
Out[26]: True
In [27]: ptext_2
Out[27]: b'Alice,Bob'
In [28]: ptext_3, tag_valid3 = decrypt_sane.unwrap(ctext_3, meta3, tag_3)
In [29]: ptext_3
Out[29]: b'Naughty List:'
In [30]: tag_valid3
Out[30]: True
In [31]: ptext_4, tag_valid4 = decrypt_sane.unwrap(ctext_4, meta4, tag_4)
In [32]: ptext_4
Out[32]: b'Chuck, Eve'
In [33]: tag_valid4
Out[33]: True
Kravatte-SANSE
--------------
``Kravatte-SANSE`` mode is session based method of authenticated encryption with
associated metadata (AEAD) that allows for encrypting a provided
plaintext with a secret shared key and an arbitrary metadata value.
This mode does not require a nonce as it operates with a
`Synthetic Initialization Vector (SIV) `__
Encryption generates an equal length ciphertext and fixed length tag
that can be used to validate the plaintext at decryption. Metadata
values can be shared for different key/message combinations with
understanding that the more a value is used, the greater the chance of a
tag collision. This mode replaces ``Kravatte-SIV``
A ``KravatteSANSE`` class is provided that adds the history
tracking for each encryption operation done via the ``wrap`` method.
Encrypt
~~~~~~~
.. code:: python
In [1]: from binascii import hexlify
In [2]: from kravatte import KravatteSANSE
In [3]: my_message = b'And yet it moves'
In [4]: my_key = b'name of childhood pet'
In [5]: metadata_1 = b'1024x768'
In [6]: another_message = b'The present is theirs; the future, for which I really worked, is mine.'
In [7]: metadata_2 = b'7680x4320'
In [8]: my_sanse = KravatteSANSE(my_key)
In [9]: ctext_1, tag_1 = my_sanse.wrap(my_message, metadata_1)
In [10]: hexlify(ctext_1)
Out[10]: b'79e4773536a2ac4b4ec9e93583a817a5'
In [11]: hexlify(tag_1)
Out[11]: b'eaa50cb8a02e3238aa8dd5d1186ec0a87ebf6fe71b6fd89bea20b2001fef6810'
In [12]: ctext_2, tag_2 = my_sanse.wrap(another_message, metadata_2)
Decrypt
~~~~~~~
.. code:: python
In [13]: decrypt_sanse = KravatteSANSE(my_key)
In [14]: ptext_1, tag_valid_1 = decrypt_sanse.unwrap(ctext_1, metadata_1, tag_1)
In [15]: ptext_1
Out[15]: b'And yet it moves'
In [16]: tag_valid_1
Out[16]: True
In [17]: ptext_2, tag_valid_2 = decrypt_sanse.unwrap(ctext_2, metadata_2, tag_2)
In [18]: ptext_2
Out[18]: b'The present is theirs; the future, for which I really worked, is mine.'
In [19]: tag_valid_2
Out[19]: True
KravatteWBC
-----------
Kravatte Wide Block Cipher mode is a symmetric block cipher mode where the user can specify
the size of the block, an arbitrary ``tweak`` value input, and arbitrary secret key. The ``KravatteWBC``
object, once initialized, can encrypt/decrypt messages of the given block size (or smaller). ``KravatteWBC``
splits messages into left and right components and uses a 4-stage Feistel sequence to encrypt/decrypt.
Encrypt and Decrypt
~~~~~~~~~~~~~~~~~~~
.. code:: python
In [1]: from kravatte import KravatteWBC
In [2]: block_size = 64
In [3]: my_tweak = b'tweak can be anything'
In [4]: my_key = b'\x00' * 24
In [5]: my_wbc = KravatteWBC(block_size, my_tweak, my_key)
In [6]: c_block = my_wbc.encrypt(b'This is some random 64-byte text string to use in this example!!')
In [7]: from binascii import hexlify
In [8]: hexlify(c_block)
Out[8]: b'2368fae1271e5c784537df331586d5d4daeeb34a6fe4ebea03cc1df7f9c0d79fcc709a9ff2199514f431da685e27658dbf6c5afed11ce5c8172f7615c19db1b9'
In [9]: my_wbc.decrypt(c_block)
Out[9]: b'This is some random 64-byte text string to use in this example!!'
KravatteWBC-AE
--------------
``KravatteWBC-AE`` is a variant of ``KravatteWBC`` that extends the desired block size by 16 bytes and
embeds authentication data. The tweak is replaced with arbitrary associated metadata. When the
block is decrypted it is also validated as being encrypted with same secret key.
Encrypt and Decrypt
~~~~~~~~~~~~~~~~~~~
.. code:: python
In [1]: from datetime import datetime
In [2]: from binascii import hexlify
In [3]: my_key = b"Doesn't look like anything to me"
In [4]: metadata = str(datetime.now()).encode()
In [5]: message = b'These violent delights have violent ends'
In [6]: len(message)
Out[6]: 40
In [7]: my_WBC_AE = KravatteWBC_AE(40, my_key)
In [8]: ctext_ae = my_WBC_AE.wrap(message, metadata)
In [9]: len(ctext_ae)
Out[9]: 56
In [10]: hexlify(ctext_ae)
Out[10]: b'388623f7a7d3c044cda574063b4ff16edbdfc95cb449f335a1c5ad5ed37897aa2470f3575825a55df04cc1dab34b4feb03aa6d35f6190d62'
In [11]: plaintext, validated = my_WBC_AE.unwrap(ctext_ae, metadata)
In [12]: plaintext
Out[12]: b'These violent delights have violent ends'
In [13]: validated
Out[13]: True
KravatteOracle
--------------
``KravatteOracle`` is a simple pseudo-random number generator built from the ``Kravatte`` PRF primitive. Initialized
with an authentication key, the ``KravatteOracle`` object absorbs an arbitrarily sized seed value into the
collector state. From there, streams of random bytes can be generated on demand via the ``random`` method.
The generator can be re-seeded at any point with the ``seed_generator`` method.
Generate Random Numbers
~~~~~~~~~~~~~~~~~~~~~~~
.. code:: python
In [1]: my_psrng = KravatteOracle(my_seed, my_key)
In [2]: my_key = b'1234'
In [3]: my_seed = b'watermelon'
In [4]: my_psrng = KravatteOracle(my_seed, my_key)
In [5]: random_bytes = my_psrng.random(24)
In [6]: hexlify(random_bytes)
Out[6]: b'14a42ab5756efe61eae73893570b6736b392d0031a87e36d'
In [7]: random_bytes = my_psrng.random(42)
In [8]: hexlify(random_bytes)
Out[8]: b'77d6308e18d57fb124e75602ced2e863e7de34c69ea57bec47efae84e85d0075c3ebbf7e535ec0fb096f'
Re-seed Generator
~~~~~~~~~~~~~~~~~
.. code:: python
In [9]: my_psrng.seed_generator(b'apple')
In [10]: random_bytes = my_psrng.random(18)
In [11]: hexlify(random_bytes)
Out[11]: b'3e108c3f627f561943893b6a3184e5b76472'
Kravatte-SIV (Deprecated)
-------------------------
``Kravatte-SIV`` mode is a method of authenticated encryption with
associated metadata (AEAD) that allows for encrypting a provided
plaintext with a secret shared key and an arbitrary metadata value.
Encryption generates an equal length ciphertext and fixed length tag
that can be used to validate the plaintext at decryption. Metadata
values can be shared for different key/message combinations with
understanding that the more a value is used, the greater the chance of a
tag collision. **Deprecated in favor of Kravatte-SANSE**
Encrypt
~~~~~~~
.. code:: python
In [1] from kravatte import siv_wrap, siv_unwrap
In [2] from binascii import hexlify
In [3] from datetime import datetime
In [4] message = b'Attack at Dawn!'
In [5] key = b'something_secret'
In [6] metadata = str(datetime.now()).encode()
In [7] ciphertext, tag = siv_wrap(key, message, metadata)
In [8] hexlify(ciphertext)
Out[8] b'79f7bd89a7cb7af1892ea51c531f4b'
In [9] hexlify(tag)
Out[9] b'37c7e11f0c9c744e7c113590fdfba7737cb38b629ef6901df22d6994340e89eas'
Decrypt
~~~~~~~
.. code:: python
In [10] plaintext, tag_valid = siv_unwrap(key, ciphertext, tag, metadata)
In [11] plaintext
Out[11] b'Attack at Dawn!'
In [12] tag_valid
Out[12] True
Kravatte-SAE (Deprecated)
-------------------------
``Kravatte-SAE`` mode is a session based method of AEAD. Given a random
nonce and secret key, this mode encrypts a sequence of plaintext
messages and/or metadata into equal size ciphertexts and a validation
tag. The sequence of plaintext/metadata is tracked as a history that
builds a chain of authentication from message to message and requires
all generated ciphertexts to be processed to fully decrypt and verify.
**Deprecated in favor of Kravatte-SANE**
A separate ``KravatteSAE`` class is provided that adds the history
tracking for each encryption operation done via the ``sae_wrap`` method.
Encrypt
~~~~~~~
.. code:: python
In [1]: from kravatte import KravatteSAE
In [2]: from datetime import datetime
In [3]: from binascii import hexlify
In [4]: message_1 = b'Directions to my house:'
In [5]: metadata_1 = str(datetime.now()).encode()
In [6]: message_2 = b'Turn right on main street'
In [7]: metadata_2 = str(datetime.now()).encode()
In [8]: message_3 = b'Continue straight for 3500 miles'
In [9]: metadata_3 = str(datetime.now()).encode()
In [10]: message_4 = b'You have arrived at your destination'
In [11]: metadata_4 = str(datetime.now()).encode()
In [12]: nonce = b'a well chosen random number'
In [13]: key = b'an even better random number'
In [14]: KravSAE_wrapper = KravatteSAE(nonce, key)
In [15]: ciphertext_1, tag_1 = KravSAE_wrapper.sae_wrap(message_1, metadata_1)
In [16]: hexlify(ciphertext_1)
Out[16]: b'7b8932a1c3673fcfe752631ef5b867843951514335de61'
In [17]: hexlify(tag_1)
Out[17]: b'3384885ca293925cc65a03fa10790420'
In [18]: ciphertext_2, tag_2 = KravSAE_wrapper.sae_wrap(message_2, metadata_2)
In [19]: hexlify(ciphertext_2)
Out[19]: b'ab48882d4339c6def9d5d06f608db5318a87a417566c0b20bd'
In [20]: hexlify(tag_2)
Out[20]: b'347f5a152dcc9ccc3c19fa936067c3d2'
In [21]: ciphertext_3, tag_3 = KravSAE_wrapper.sae_wrap(message_3, metadata_3)
In [22]: hexlify(ciphertext_3)
Out[22]: b'bc461f40db74705c10b1400b6a9967dd7164cbf774c196d5b649faf2bd792339'
In [23]: hexlify(tag_3)
Out[23]: b'6ba2faee4d2aa5654a054222a049d926'
In [24]: ciphertext_4, tag_4 = KravSAE_wrapper.sae_wrap(message_4, metadata_4)
In [25]: hexlify(ciphertext_4)
Out[25]: b'1f451f51d9882f9f7674c37dace4036efd9efe39d6b58ccdf6b012ef988e4e1f2617479f'
In [26]: hexlify(tag_4)
Out[26]: b'5f3511f140b4ea36412c0e4b22d1c218'
For decryption and validation, the ``sae_unwrap`` method accepts the
ciphertext, original metadata, and validation tag to not only decrypt
the plaintext, but return a boolean if the decrypted plaintext is valid
within the chain of messages.
Decrypt
~~~~~~~
.. code:: python
In [27]: KravSAE_unwrapper = KravatteSAE(nonce, key)
In [28]: plaintext_1, check_tag_1 = KravSAE_unwrapper.sae_unwrap(ciphertext_1, metadata_1, tag_1)
In [29]: plaintext_1
Out[29]: b'Directions to my house:'
In [30]: check_tag_1
Out[30]: True
In [31]: plaintext_2, check_tag_2 = KravSAE_unwrapper.sae_unwrap(ciphertext_2, metadata_2, tag_2)
In [32]: plaintext_2
Out[32]: b'Turn right on main street'
In [33]: check_tag_2
Out[33]: True
In [34]: plaintext_3, check_tag_3 = KravSAE_unwrapper.sae_unwrap(ciphertext_3, metadata_3, tag_3)
In [35]: plaintext_3
Out[35]: b'Continue straight for 3500 miles'
In [36]: check_tag_3
Out[36]: True
In [37]: plaintext_4, check_tag_4 = KravSAE_unwrapper.sae_unwrap(ciphertext_4, metadata_4, tag_4)
In [38]: plaintext_4
Out[38]: b'You have arrived at your destination'
In [39]: check_tag_4
Out[39]: True
Multi-Process Performance Mode
---------------------------------
The Farfalle PRF allows for significant parallelism in both the compression and expansion phases when
consuming or generating large numbers of blocks. We can exploit that fact for increased performance
via Python's `multiprocessing `__ module.
This allows us to spawn any number of identical worker subprocesses that can consume additional
CPU core resources. Enabling the multi-process mode is done at object creation time for ``Kravatte``,
or any of its operating modes, with the ``workers`` arguments:
.. code:: python
In [1]: new_kravatte = Kravatte(my_key, workers=8)
In [2]: my_kra_mac = mac(my_key, my_message, my_output_size, workers=16)
In [3]: my_wbc = KravatteWBC(block_size, my_tweak, my_key, workers=4)
For optimal performance, the number of workers should match the number of CPU cores reported by
``os.cpu_count``. This is set automatically if ``workers`` is set to 0:
.. code:: python
# Equivalent objects
In [4]: my_psrng = KravatteOracle(my_seed, my_key, workers=0)
In [5]: my_psrng = KravatteOracle(my_seed, my_key, workers=os.cpu_count())
Multi-process mode can be explicitly disabled by setting workers to ``None``:
.. code:: python
In [6]: my_psrng = KravatteOracle(my_seed, my_key, workers=None)
There is a non-trivial performance cost associated with generating new Python processes. For small,
generally < 100KB, inputs and outputs, it can be faster to use the single process variant.
For asymmetrically sized workloads, such a generating a MAC on a multi-megabyte input and only
generating a few dozen bytes of output, multiprocessing mode can be explicitly enabled or disabled with the
``mp_input`` and ``mp_output`` arguments. These booleans are available for ``Kravatte`` and all derived classes/functions.
.. code:: python
# Enable Multiprocessing acceleration only for processing of input bytes
In [7]: my_psrng = KravatteOracle(my_seed, my_key, workers=16, mp_input=True, mp_output=False)
Testing
-------
A full test suite is available in the ``test/`` dir. Tests can be invoked with pytest:
.. code:: bash
$ cd path/to/cloned/kravatte/
$ pytest -xvvv
The same tests are run against the standard codepath and the multiprocess code path utilizing all available
CPU cores. Test vectors were generated using the
`KeccakTools `__ C++ library available from the Keccak Team
Caveats
-------
- Being a Python implementation, performance on large files or data
sets may be inadequate (even with multi-processing enabled).
- The inputs and outputs of this implementation are limited to byte
(8-bit) divisible sizes
- While security was top of mind during development, this
implementation has not been fully audited for timing attacks, side
channel attacks or other vulnerabilities. Other bugs not caught by
the test cases may be present. Use in a production environment is not
encouraged.
If any of above are of concern, please check out the official
`KeccakTools `__ and `Keccak Code
Package `__
Changelog
---------
1.2.0 (2018-12-02)
~~~~~~~~~~~~~~~~~~
- Add Kravatte-SANE Support [Calvin McCoy]
- Add Kravatte-SANSE Support [Calvin McCoy]
- Refactor tests into seperate classes [Calvin McCoy]
1.1.0 (2018-09-08)
~~~~~~~~~~~~~~~~~~
- Add TravisCI Testing [Calvin McCoy]
- Add memory scrub functionality. [Calvin McCoy]
- Optimizations to Keccak, expand permutation, and compress permutations [Calvin McCoy]
- Added ability to enable Multi-processing for just input or output [Calvin McCoy]
- Fixed Typos and Added Some Extra Comments [Calvin McCoy]
1.0.0 (2018-05-19)
~~~~~~~~~~~~~~~~~~
- Added Multi-processing mode [Calvin McCoy]
- Cleanup for 1.0 release [Calvin McCoy]
0.9.2 (2018-04-07)
~~~~~~~~~~~~~~~~~~
- Add KravatteOracle pseudo-random generator [Calvin McCoy]
- Add type hinting [Calvin McCoy]
- Fix Typos [Calvin McCoy]
0.9.0 (2018-03-31)
~~~~~~~~~~~~~~~~~~
- General package cleanup and fix typos [Calvin McCoy]
0.8.0 (2018-03-28)
~~~~~~~~~~~~~~~~~~
- Initial Commit [Calvin McCoy]