def __identify(app, in_name):
# TODO: identify number of independant inputs
NL = app.nl().vector()
M = app.matrix()
nbits_in = M.ncols()
nbits_out = M.nlines()
if nbits_in != nbits_out:
raise ValueError("do not yet support application with a different\
number of input and output bits!")
mba = MBA(nbits_in)
var_in = mba.var(in_name)
if NL != Vector(len(NL)):
return _identify_nonaffine(app, var_in)
C = EX.ExprCst(mba.from_vec(app.cst()).to_cst(), nbits_out)
if M == Matrix(nbits_out, nbits_in):
# This is just a constant
return C
ret = EX.ExprBV(var_in)
matrix_empty = 0
# Find empty columns in the matrix.
for j in range(nbits_in):
is_zero = reduce(operator.and_, (M.at(i, j) == imm(0)
for i in range(nbits_out)), True)
if is_zero:
matrix_empty |= 1 << j
matrix_and_mask = (~matrix_empty) % (2**nbits_out)
if matrix_empty != 0:
ret = EX.ExprAnd(ret, EX.ExprCst(matrix_and_mask, nbits_out))
if mba.from_vec(M * var_in.vec) ^ (var_in & matrix_empty) == var_in:
# This is a XOR
return EX.ExprXor(ret, C)
raise ValueError("unable to identify an expression")
def eval_expr(e, use_esf=False):
ectx = init_ctxes(e)
ret = Vector(e.nbits)
for i in range(e.nbits):
ret[i] = ectx.eval(ret, i, use_esf)
mba = MBA(len(ret))
return mba.from_vec(ret)
return [a[i] ^ b[i] for i in range(16)]
def even_mansour(block, key):
block = xor(block, key[:16])
block = f(block)
block = xor(block, key[16:])
return block
block = [mba8.var('b%d' % i) for i in range(16)]
key_zero = [mba8.from_cst(0)] * 32
cipher = even_mansour(block, key_zero)
cipher = flatten_vec(cipher)
CZ = mba128.from_vec(cipher).vectorial_decomp(block)
Minv = CZ.matrix().inverse()
def recover(plaintext, cipher_plaintext, cipher_unk):
plaintext = mba128.from_bytes(plaintext)
cipher_plaintext = mba128.from_bytes(cipher_plaintext)
cipher_unk = mba128.from_bytes(cipher_unk)
tmp = mba128.from_vec(
simplify(Minv * ((cipher_plaintext ^ cipher_unk).vec)))
return (plaintext ^ tmp).to_bytes()
def recover_ascii(*args, **kwargs):
return recover(*args, **kwargs).decode("ascii")
from arybo.lib import MBA, simplify, simplify_inplace
from arybo.tools import app_inverse
mba = MBA(32)
S, X = mba.permut2expr(S)
S = S.vectorial_decomp([X])
def compute_arybo(Z):
C = mba.from_cst(0xFFFFFFFF)
A = 0
for N in range(0, 4):
C_ = (C >> (A * 8)) & 0xFF
Z_ = (Z >> (N * 8)) & 0xFF
t = Z_ ^ C_
T_ = mba.from_vec(simplify(S(t.vec)))
B = C >> 8
C = B ^ T_
C = (~C)
return simplify_inplace(C)
E = compute_arybo(X)
A = E.vectorial_decomp([X])
Ainv = app_inverse(A)
sol = mba.from_vec(simplify(Ainv(mba.from_cst(3298472535).vec))).to_cst()
print(sol)