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/*
* (C) 2015,2018 Jack Lloyd
*
* Botan is released under the Simplified BSD License (see license.txt)
*/
#include <botan/internal/point_mul.h>
#include <botan/rng.h>
#include <botan/reducer.h>
#include <botan/internal/rounding.h>
#include <botan/internal/ct_utils.h>
namespace Botan {
PointGFp multi_exponentiate(const PointGFp& x, const BigInt& z1,
const PointGFp& y, const BigInt& z2)
{
PointGFp_Multi_Point_Precompute xy_mul(x, y);
return xy_mul.multi_exp(z1, z2);
}
Blinded_Point_Multiply::Blinded_Point_Multiply(const PointGFp& base,
const BigInt& order,
size_t h) :
m_ws(PointGFp::WORKSPACE_SIZE),
m_order(order)
{
BOTAN_UNUSED(h);
Null_RNG null_rng;
m_point_mul.reset(new PointGFp_Var_Point_Precompute(base, null_rng, m_ws));
}
Blinded_Point_Multiply::~Blinded_Point_Multiply()
{
/* for ~unique_ptr */
}
PointGFp Blinded_Point_Multiply::blinded_multiply(const BigInt& scalar,
RandomNumberGenerator& rng)
{
return m_point_mul->mul(scalar, rng, m_order, m_ws);
}
PointGFp_Base_Point_Precompute::PointGFp_Base_Point_Precompute(const PointGFp& base,
const Modular_Reducer& mod_order) :
m_base_point(base),
m_mod_order(mod_order),
m_p_words(base.get_curve().get_p().sig_words()),
m_T_size(base.get_curve().get_p().bits() + PointGFp_SCALAR_BLINDING_BITS + 1)
{
std::vector<BigInt> ws(PointGFp::WORKSPACE_SIZE);
const size_t p_bits = base.get_curve().get_p().bits();
/*
* Some of the curves (eg secp160k1) have an order slightly larger than
* the size of the prime modulus. In all cases they are at most 1 bit
* longer. The +1 compensates for this.
*/
const size_t T_bits = round_up(p_bits + PointGFp_SCALAR_BLINDING_BITS + 1, WINDOW_BITS) / WINDOW_BITS;
std::vector<PointGFp> T(WINDOW_SIZE*T_bits);
PointGFp g = base;
PointGFp g4;
for(size_t i = 0; i != T_bits; i++)
{
PointGFp g2 = g.double_of(ws);
g4 = g2.double_of(ws);
T[7*i+0] = g;
T[7*i+1] = std::move(g2);
T[7*i+2] = T[7*i+1].plus(T[7*i+0], ws); // g2+g
T[7*i+3] = g4;
T[7*i+4] = T[7*i+3].plus(T[7*i+0], ws); // g4+g
T[7*i+5] = T[7*i+3].plus(T[7*i+1], ws); // g4+g2
T[7*i+6] = T[7*i+3].plus(T[7*i+2], ws); // g4+g2+g
g.swap(g4);
g.mult2(ws);
}
PointGFp::force_all_affine(T, ws[0].get_word_vector());
m_W.resize(T.size() * 2 * m_p_words);
word* p = &m_W[0];
for(size_t i = 0; i != T.size(); ++i)
{
T[i].get_x().encode_words(p, m_p_words);
p += m_p_words;
T[i].get_y().encode_words(p, m_p_words);
p += m_p_words;
}
}
PointGFp PointGFp_Base_Point_Precompute::mul(const BigInt& k,
RandomNumberGenerator& rng,
const BigInt& group_order,
std::vector<BigInt>& ws) const
{
if(k.is_negative())
throw Invalid_Argument("PointGFp_Base_Point_Precompute scalar must be positive");
// Choose a small mask m and use k' = k + m*order (Coron's 1st countermeasure)
const BigInt mask(rng, PointGFp_SCALAR_BLINDING_BITS);
// Instead of reducing k mod group order should we alter the mask size??
const BigInt scalar = m_mod_order.reduce(k) + group_order * mask;
const size_t windows = round_up(scalar.bits(), WINDOW_BITS) / WINDOW_BITS;
const size_t elem_size = 2*m_p_words;
BOTAN_ASSERT(windows <= m_W.size() / (3*elem_size),
"Precomputed sufficient values for scalar mult");
PointGFp R = m_base_point.zero();
if(ws.size() < PointGFp::WORKSPACE_SIZE)
ws.resize(PointGFp::WORKSPACE_SIZE);
// the precomputed multiples are not secret so use std::vector
std::vector<word> Wt(elem_size);
for(size_t i = 0; i != windows; ++i)
{
const size_t window = windows - i - 1;
const size_t base_addr = (WINDOW_SIZE*window)*elem_size;
const word w = scalar.get_substring(WINDOW_BITS*window, WINDOW_BITS);
const auto w_is_1 = CT::Mask<word>::is_equal(w, 1);
const auto w_is_2 = CT::Mask<word>::is_equal(w, 2);
const auto w_is_3 = CT::Mask<word>::is_equal(w, 3);
const auto w_is_4 = CT::Mask<word>::is_equal(w, 4);
const auto w_is_5 = CT::Mask<word>::is_equal(w, 5);
const auto w_is_6 = CT::Mask<word>::is_equal(w, 6);
const auto w_is_7 = CT::Mask<word>::is_equal(w, 7);
for(size_t j = 0; j != elem_size; ++j)
{
const word w1 = m_W[base_addr + 0*elem_size + j];
const word w2 = m_W[base_addr + 1*elem_size + j];
const word w3 = m_W[base_addr + 2*elem_size + j];
const word w4 = m_W[base_addr + 3*elem_size + j];
const word w5 = m_W[base_addr + 4*elem_size + j];
const word w6 = m_W[base_addr + 5*elem_size + j];
const word w7 = m_W[base_addr + 6*elem_size + j];
const word wl = w_is_1.select(w1, w_is_2.select(w2, w_is_3.select(w3, 0)));
const word wr = w_is_4.select(w4, w_is_5.select(w5, w_is_6.select(w6, w_is_7.select(w7, 0))));
Wt[j] = wl | wr;
}
R.add_affine(&Wt[0], m_p_words, &Wt[m_p_words], m_p_words, ws);
if(i == 0)
{
/*
* Since we start with the top bit of the exponent we know the
* first window must have a non-zero element, and thus R is
* now a point other than the point at infinity.
*/
BOTAN_DEBUG_ASSERT(w != 0);
R.randomize_repr(rng, ws[0].get_word_vector());
}
}
BOTAN_DEBUG_ASSERT(R.on_the_curve());
return R;
}
PointGFp_Var_Point_Precompute::PointGFp_Var_Point_Precompute(const PointGFp& point,
RandomNumberGenerator& rng,
std::vector<BigInt>& ws) :
m_curve(point.get_curve()),
m_p_words(m_curve.get_p().sig_words()),
m_window_bits(4)
{
if(ws.size() < PointGFp::WORKSPACE_SIZE)
ws.resize(PointGFp::WORKSPACE_SIZE);
std::vector<PointGFp> U(static_cast<size_t>(1) << m_window_bits);
U[0] = point.zero();
U[1] = point;
for(size_t i = 2; i < U.size(); i += 2)
{
U[i] = U[i/2].double_of(ws);
U[i+1] = U[i].plus(point, ws);
}
// Hack to handle Blinded_Point_Multiply
if(rng.is_seeded())
{
BigInt& mask = ws[0];
BigInt& mask2 = ws[1];
BigInt& mask3 = ws[2];
BigInt& new_x = ws[3];
BigInt& new_y = ws[4];
BigInt& new_z = ws[5];
secure_vector<word>& tmp = ws[6].get_word_vector();
const CurveGFp& curve = U[0].get_curve();
const size_t p_bits = curve.get_p().bits();
// Skipping zero point since it can't be randomized
for(size_t i = 1; i != U.size(); ++i)
{
mask.randomize(rng, p_bits - 1, false);
// Easy way of ensuring mask != 0
mask.set_bit(0);
curve.sqr(mask2, mask, tmp);
curve.mul(mask3, mask, mask2, tmp);
curve.mul(new_x, U[i].get_x(), mask2, tmp);
curve.mul(new_y, U[i].get_y(), mask3, tmp);
curve.mul(new_z, U[i].get_z(), mask, tmp);
U[i].swap_coords(new_x, new_y, new_z);
}
}
m_T.resize(U.size() * 3 * m_p_words);
word* p = &m_T[0];
for(size_t i = 0; i != U.size(); ++i)
{
U[i].get_x().encode_words(p , m_p_words);
U[i].get_y().encode_words(p + m_p_words, m_p_words);
U[i].get_z().encode_words(p + 2*m_p_words, m_p_words);
p += 3*m_p_words;
}
}
PointGFp PointGFp_Var_Point_Precompute::mul(const BigInt& k,
RandomNumberGenerator& rng,
const BigInt& group_order,
std::vector<BigInt>& ws) const
{
if(k.is_negative())
throw Invalid_Argument("PointGFp_Var_Point_Precompute scalar must be positive");
if(ws.size() < PointGFp::WORKSPACE_SIZE)
ws.resize(PointGFp::WORKSPACE_SIZE);
// Choose a small mask m and use k' = k + m*order (Coron's 1st countermeasure)
const BigInt mask(rng, PointGFp_SCALAR_BLINDING_BITS, false);
const BigInt scalar = k + group_order * mask;
const size_t elem_size = 3*m_p_words;
const size_t window_elems = (1ULL << m_window_bits);
size_t windows = round_up(scalar.bits(), m_window_bits) / m_window_bits;
PointGFp R(m_curve);
secure_vector<word> e(elem_size);
if(windows > 0)
{
windows--;
const uint32_t w = scalar.get_substring(windows*m_window_bits, m_window_bits);
clear_mem(e.data(), e.size());
for(size_t i = 1; i != window_elems; ++i)
{
const auto wmask = CT::Mask<word>::is_equal(w, i);
for(size_t j = 0; j != elem_size; ++j)
{
e[j] |= wmask.if_set_return(m_T[i * elem_size + j]);
}
}
R.add(&e[0], m_p_words, &e[m_p_words], m_p_words, &e[2*m_p_words], m_p_words, ws);
/*
Randomize after adding the first nibble as before the addition R
is zero, and we cannot effectively randomize the point
representation of the zero point.
*/
R.randomize_repr(rng, ws[0].get_word_vector());
}
while(windows)
{
R.mult2i(m_window_bits, ws);
const uint32_t w = scalar.get_substring((windows-1)*m_window_bits, m_window_bits);
clear_mem(e.data(), e.size());
for(size_t i = 1; i != window_elems; ++i)
{
const auto wmask = CT::Mask<word>::is_equal(w, i);
for(size_t j = 0; j != elem_size; ++j)
{
e[j] |= wmask.if_set_return(m_T[i * elem_size + j]);
}
}
R.add(&e[0], m_p_words, &e[m_p_words], m_p_words, &e[2*m_p_words], m_p_words, ws);
windows--;
}
BOTAN_DEBUG_ASSERT(R.on_the_curve());
return R;
}
PointGFp_Multi_Point_Precompute::PointGFp_Multi_Point_Precompute(const PointGFp& x,
const PointGFp& y)
{
std::vector<BigInt> ws(PointGFp::WORKSPACE_SIZE);
PointGFp x2 = x;
x2.mult2(ws);
const PointGFp x3(x2.plus(x, ws));
PointGFp y2 = y;
y2.mult2(ws);
const PointGFp y3(y2.plus(y, ws));
m_M.reserve(15);
m_M.push_back(x);
m_M.push_back(x2);
m_M.push_back(x3);
m_M.push_back(y);
m_M.push_back(y.plus(x, ws));
m_M.push_back(y.plus(x2, ws));
m_M.push_back(y.plus(x3, ws));
m_M.push_back(y2);
m_M.push_back(y2.plus(x, ws));
m_M.push_back(y2.plus(x2, ws));
m_M.push_back(y2.plus(x3, ws));
m_M.push_back(y3);
m_M.push_back(y3.plus(x, ws));
m_M.push_back(y3.plus(x2, ws));
m_M.push_back(y3.plus(x3, ws));
PointGFp::force_all_affine(m_M, ws[0].get_word_vector());
}
PointGFp PointGFp_Multi_Point_Precompute::multi_exp(const BigInt& z1,
const BigInt& z2) const
{
std::vector<BigInt> ws(PointGFp::WORKSPACE_SIZE);
const size_t z_bits = round_up(std::max(z1.bits(), z2.bits()), 2);
PointGFp H = m_M[0].zero();
for(size_t i = 0; i != z_bits; i += 2)
{
if(i > 0)
{
H.mult2i(2, ws);
}
const uint32_t z1_b = z1.get_substring(z_bits - i - 2, 2);
const uint32_t z2_b = z2.get_substring(z_bits - i - 2, 2);
const uint32_t z12 = (4*z2_b) + z1_b;
// This function is not intended to be const time
if(z12)
{
H.add_affine(m_M[z12-1], ws);
}
}
if(z1.is_negative() != z2.is_negative())
H.negate();
return H;
}
}
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