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HIGHT block cipher implementation in Python3 based on original paper by Hong et al. Includes the encryption and decryption functions for HIGHT.

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README.md
 
 
hight.py
hight.py
 
 
hight_CBC.py
hight_CBC.py
 
 
hight_CFB.py
hight_CFB.py
 
 
hight_ECB.py
hight_ECB.py
 
 
test.txt
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test_CBC.py
test_CBC.py
 
 
test_CFB.py
test_CFB.py
 
 
test_ECB.py
test_ECB.py
 
 

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HIGHT

Introduction

HIGHT is a lightweight block cipher that accepts a 64-bit plaintext and 128-bit master key. Through this Python3 implementation, we attempt to shed light on the complexities of this cipher (in ECB, CBC and CFB mode). Original paper with pseudocode and detailed explanation of the cipher can be found here. This work is inspired by ph1nx. The examples provided are cross-checked with another source, with the exception of CFB mode.

ECB Mode

For simple encryption and decryption of 64-bit plaintext, use the base functions hight_encryption(P, MK) and hight_decryption(C, MK) respectively. All functions in hight.py are implemented as what the original paper details.

You would need to edit the values for the master key (MK) and plaintext (P) in the code. Here are some example values for MK, P and ciphertext (C) for ECB mode:

MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
P = [0xD7, 0x6D, 0x0D, 0x18, 0x32, 0x7E, 0xC5, 0x62]
expected_C = [0xE4, 0xBC, 0x2E, 0x31, 0x22, 0x77, 0xE4, 0xDD]
MK = [0x29, 0x23, 0xBE, 0x84, 0xE1, 0x6C, 0xD6, 0xAE, 0x52, 0x90, 0x49, 0xF1, 0xF1, 0xBB, 0xE9, 0xEB]
P = [0xB3, 0xA6, 0xDB, 0x3C, 0x87, 0x0C, 0x3E, 0x99]
expected_C = [0x23, 0xCA, 0xD1, 0xA3, 0xCD, 0xDF, 0x7E, 0xAB]
MK = [0x24, 0x5E, 0x0D, 0x1C, 0x06, 0xB7, 0x47, 0xDE, 0xB3, 0x12, 0x4D, 0xC8, 0x43, 0xBB, 0x8B, 0xA6]
P = [0x1F, 0x03, 0x5A, 0x7D, 0x09, 0x38, 0x25, 0x1F]
expected_C = [0x52, 0xBD, 0x91, 0xBB, 0x26, 0xF8, 0xED, 0x99]
MK = [0x5D, 0xD4, 0xCB, 0xFC, 0x96, 0xF5, 0x45, 0x3B, 0x13, 0x0D, 0x89, 0x0A, 0x1C, 0xDB, 0xAE, 0x32]
P = [0x20, 0x9A, 0x50, 0xEE, 0x40, 0x78, 0x36, 0xFD]
expected_C = [0x95, 0x02, 0xB4, 0x6D, 0x87, 0xB4, 0x41, 0x67]
MK = [0x12, 0x49, 0x32, 0xF6, 0x9E, 0x7D, 0x49, 0xDC, 0xAD, 0x4F, 0x14, 0xF2, 0x44, 0x40, 0x66, 0xD0]
P = [0x6B, 0xC4, 0x30, 0xB7, 0x32, 0x3B, 0xA1, 0x22]
expected_C = [0x20, 0xCB, 0xCF, 0x41, 0x65, 0x24, 0xE5, 0xA6]
MK = [0xF6, 0x22, 0x91, 0x9D, 0xE1, 0x8B, 0x1F, 0xDA, 0xB0, 0xCA, 0x99, 0x02, 0xB9, 0x72, 0x9D, 0x49]
P = [0x2C, 0x80, 0x7E, 0xC5, 0x99, 0xD5, 0xE9, 0x80]
expected_C = [0xF3, 0x1C, 0x89, 0xE6, 0x6C, 0x4F, 0x5A, 0x6F]
MK = [0xB2, 0xEA, 0xC9, 0xCC, 0x53, 0xBF, 0x67, 0xD6, 0xBF, 0x14, 0xD6, 0x7E, 0x2D, 0xDC, 0x8E, 0x66]
P = [0x83, 0xEF, 0x57, 0x49, 0x61, 0xFF, 0x69, 0x8F]
expected_C = [0x39, 0x21, 0xC8, 0x3B, 0xFE, 0x5E, 0x59, 0x6E]
MK = [0x61, 0xCD, 0xD1, 0x1E, 0x9D, 0x9C, 0x16, 0x72, 0x72, 0xE6, 0x1D, 0xF0, 0x84, 0x4F, 0x4A, 0x77]
P = [0x02, 0xD7, 0xE8, 0x39, 0x2C, 0x53, 0xCB, 0xC9]
expected_C = [0x98, 0x2F, 0xD7, 0x56, 0x17, 0x44, 0x97, 0xBF]
MK = 0x12, 0x1E, 0x33, 0x74, 0x9E, 0x0C, 0xF4, 0xD5, 0xD4, 0x9F, 0xD4, 0xA4, 0x59, 0x7E, 0x35, 0xCF
P = [0x32, 0x22, 0xF4, 0xCC, 0xCF, 0xD3, 0x90, 0x2D]
expected_C = [0xBB, 0x80, 0xF5, 0x0B, 0x35, 0x11, 0x5B, 0xA8]
MK = [0x5D, 0xD4, 0xCB, 0xFC, 0x96, 0xF5, 0x45, 0x3B, 0x13, 0x0D, 0x89, 0x0A, 0x1C, 0xDB, 0xAE, 0x32]
P = [0x20, 0x9A, 0x50, 0xEE, 0x40, 0x78, 0x36, 0xFD]
expected_C = [0x95, 0x02, 0xB4, 0x6D, 0x87, 0xB4, 0x41, 0x67]
MK = [0x12, 0x49, 0x32, 0xF6, 0x9E, 0x7D, 0x49, 0xDC, 0xAD, 0x4F, 0x14, 0xF2, 0x44, 0x40, 0x66, 0xD0]
P = [0x6B, 0xC4, 0x30, 0xB7, 0x32, 0x3B, 0xA1, 0x22]
expected_C = [0x20, 0xCB, 0xCF, 0x41, 0x65, 0x24, 0xE5, 0xA6]
MK = [0xF6, 0x22, 0x91, 0x9D, 0xE1, 0x8B, 0x1F, 0xDA, 0xB0, 0xCA, 0x99, 0x02, 0xB9, 0x72, 0x9D, 0x49]
P = [0x2C, 0x80, 0x7E, 0xC5, 0x99, 0xD5, 0xE9, 0x80]
expected_C = [0xF3, 0x1C, 0x89, 0xE6, 0x6C, 0x4F, 0x5A, 0x6F]
MK = [0xB2, 0xEA, 0xC9, 0xCC, 0x53, 0xBF, 0x67, 0xD6, 0xBF, 0x14, 0xD6, 0x7E, 0x2D, 0xDC, 0x8E, 0x66]
P = [0x83, 0xEF, 0x57, 0x49, 0x61, 0xFF, 0x69, 0x8F]
expected_C = [0x39, 0x21, 0xC8, 0x3B, 0xFE, 0x5E, 0x59, 0x6E]
MK = [0x61, 0xCD, 0xD1, 0x1E, 0x9D, 0x9C, 0x16, 0x72, 0x72, 0xE6, 0x1D, 0xF0, 0x84, 0x4F, 0x4A, 0x77]
P = [0x02, 0xD7, 0xE8, 0x39, 0x2C, 0x53, 0xCB, 0xC9]
expected_C = [0x98, 0x2F, 0xD7, 0x56, 0x17, 0x44, 0x97, 0xBF]
MK = [0x12, 0x1E, 0x33, 0x74, 0x9E, 0x0C, 0xF4, 0xD5, 0xD4, 0x9F, 0xD4, 0xA4, 0x59, 0x7E, 0x35, 0xCF]
P = [0x32, 0x22, 0xF4, 0xCC, 0xCF, 0xD3, 0x90, 0x2D]
expected_C = [0xBB, 0x80, 0xF5, 0x0B, 0x35, 0x11, 0x5B, 0xA8]

CBC Mode

You would need to also edit the initialization vector (IV) for CBC mode. Here are some example values for MK, IV, P, C for CBC mode:

MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47, 0x63, 0x4A, 0x00, 0x01, 0x2F, 0xA0, 0xE9, 0xF0]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47, 0x63, 0x4A, 0x00, 0x01, 0x2F, 0xA0, 0xE9, 0xF0, 0x44, 0x9D, 0xE2, 0xBC, 0xC1, 0x68, 0x51, 0x6C]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47, 0x63, 0x4A, 0x00, 0x01, 0x2F, 0xA0, 0xE9, 0xF0, 0x44, 0x9D, 0xE2, 0xBC, 0xC1, 0x68, 0x51, 0x6C, 0x0E, 0x27, 0x45, 0xAC, 0x37, 0xC1, 0xA6, 0x74]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47, 0x63, 0x4A, 0x00, 0x01, 0x2F, 0xA0, 0xE9, 0xF0, 0x44, 0x9D, 0xE2, 0xBC, 0xC1, 0x68, 0x51, 0x6C, 0x0E, 0x27, 0x45, 0xAC, 0x37, 0xC1, 0xA6, 0x74, 0x3A, 0x1E, 0xA5, 0x1E, 0xB4, 0x07, 0xD1, 0x4E]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0xCE, 0x15, 0x95, 0x08, 0x5A, 0x18, 0x8C, 0x28, 0xC1, 0x8D, 0x77, 0x08, 0xD9, 0xC1, 0x25, 0x86, 0x4B, 0x3D, 0xAF, 0x2B, 0xF2, 0x0D, 0x52, 0x47, 0x63, 0x4A, 0x00, 0x01, 0x2F, 0xA0, 0xE9, 0xF0, 0x44, 0x9D, 0xE2, 0xBC, 0xC1, 0x68, 0x51, 0x6C, 0x0E, 0x27, 0x45, 0xAC, 0x37, 0xC1, 0xA6, 0x74, 0x3A, 0x1E, 0xA5, 0x1E, 0xB4, 0x07, 0xD1, 0x4E, 0xC8, 0xC4, 0xB4, 0x35, 0xCA, 0x05, 0xCC, 0x62]

CFB Mode

MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9, 0xFC, 0x97, 0xF4, 0xFB, 0x22, 0xB4, 0xA0, 0x60]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9, 0xFC, 0x97, 0xF4, 0xFB, 0x22, 0xB4, 0xA0, 0x60, 0x0A, 0x0C, 0xCF, 0x5B, 0xDC, 0x3E, 0xEB, 0x2B]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9, 0xFC, 0x97, 0xF4, 0xFB, 0x22, 0xB4, 0xA0, 0x60, 0x0A, 0x0C, 0xCF, 0x5B, 0xDC, 0x3E, 0xEB, 0x2B, 0x97, 0xDD, 0x79, 0x0F, 0xE4, 0x45, 0x86, 0x93]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9, 0xFC, 0x97, 0xF4, 0xFB, 0x22, 0xB4, 0xA0, 0x60, 0x0A, 0x0C, 0xCF, 0x5B, 0xDC, 0x3E, 0xEB, 0x2B, 0x97, 0xDD, 0x79, 0x0F, 0xE4, 0x45, 0x86, 0x93, 0x19, 0x1B, 0x71, 0xF5, 0xE4, 0x10, 0xCA, 0xC8]
MK = [0x88, 0xE3, 0x4F, 0x8F, 0x08, 0x17, 0x79, 0xF1, 0xE9, 0xF3, 0x94, 0x37, 0x0A, 0xD4, 0x05, 0x89]
IV = [0x26, 0x8D, 0x66, 0xA7, 0x35, 0xA8, 0x1A, 0x81]
P = [0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F, 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F]
expected_C = [0x10, 0x63, 0x42, 0xC7, 0x1E, 0x80, 0xAC, 0x0C, 0xAE, 0x75, 0x86, 0x4F, 0x85, 0xDD, 0x97, 0x37, 0x20, 0xF8, 0x12, 0x3F, 0x55, 0xD1, 0x86, 0xF9, 0xFC, 0x97, 0xF4, 0xFB, 0x22, 0xB4, 0xA0, 0x60, 0x0A, 0x0C, 0xCF, 0x5B, 0xDC, 0x3E, 0xEB, 0x2B, 0x97, 0xDD, 0x79, 0x0F, 0xE4, 0x45, 0x86, 0x93, 0x19, 0x1B, 0x71, 0xF5, 0xE4, 0x10, 0xCA, 0xC8, 0x71, 0x53, 0xDD, 0x78, 0xB5, 0x9A, 0x8C, 0x30]

Citations

@InProceedings{10.1007/11894063_4,
author="Hong, Deukjo
and Sung, Jaechul
and Hong, Seokhie
and Lim, Jongin
and Lee, Sangjin
and Koo, Bon-Seok
and Lee, Changhoon
and Chang, Donghoon
and Lee, Jesang
and Jeong, Kitae
and Kim, Hyun
and Kim, Jongsung
and Chee, Seongtaek",
editor="Goubin, Louis
and Matsui, Mitsuru",
title="HIGHT: A New Block Cipher Suitable for Low-Resource Device",
booktitle="Cryptographic Hardware and Embedded Systems - CHES 2006",
year="2006",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="46--59",
abstract="In this paper, we propose a new block cipher HIGHT with 64-bit block length and 128-bit key length. It provides low-resource hardware implementation, which is proper to ubiquitous computing device such as a sensor in USN or a RFID tag. HIGHT does not only consist of simple operations to be ultra-light but also has enough security as a good encryption algorithm. Our hardware implementation of HIGHT requires 3048 gates on 0.25 μm technology.",
isbn="978-3-540-46561-4"
}

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HIGHT block cipher implementation in Python3 based on original paper by Hong et al. Includes the encryption and decryption functions for HIGHT.

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cryptography cipher python3 hight kisa

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