diff options
| -rw-r--r-- | Makefile | 8 | ||||
| -rw-r--r-- | pyecsca/ec/context.py | 21 | ||||
| -rw-r--r-- | pyecsca/ec/mult/comb.py | 2 | ||||
| -rw-r--r-- | pyecsca/ec/mult/naf.py | 3 | ||||
| -rw-r--r-- | pyecsca/ec/mult/window.py | 6 | ||||
| -rw-r--r-- | pyecsca/sca/re/epa.py | 105 | ||||
| -rw-r--r-- | pyecsca/sca/re/rpa.py | 117 | ||||
| -rw-r--r-- | pyecsca/sca/re/tree.py | 2 | ||||
| -rw-r--r-- | test/ec/test_context.py | 17 | ||||
| -rw-r--r-- | test/ec/test_countermeasures.py | 168 | ||||
| -rw-r--r-- | test/sca/test_epa.py | 82 | ||||
| -rw-r--r-- | test/sca/test_rpa.py | 2 | ||||
| -rw-r--r-- | test/sca/test_rpa_context.py | 2 | ||||
| -rw-r--r-- | uv.lock | 4407 |
14 files changed, 3364 insertions, 1578 deletions
@@ -3,16 +3,16 @@ PERF_SCRIPTS = test.ec.perf_mod test.ec.perf_formula test.ec.perf_mult test.sca. all: help test: - pytest -m "not slow" --cov=pyecsca + pytest -m "not slow" --cov=pyecsca --doctest-ignore-import-errors test-plots: - env PYECSCA_TEST_PLOTS=1 pytest -m "not slow" + env PYECSCA_TEST_PLOTS=1 pytest -m "not slow" --doctest-ignore-import-errors test-all: - pytest --cov=pyecsca + pytest --cov=pyecsca --doctest-ignore-import-errors test-notebooks: - pytest -m "not slow" --nbmake --cov=pyecsca --cov-append notebook/simulation.ipynb notebook/visualization.ipynb + pytest -m "not slow" --doctest-ignore-import-errors --nbmake --cov=pyecsca --cov-append notebook/simulation.ipynb notebook/visualization.ipynb typecheck: mypy --namespace-packages -p pyecsca --ignore-missing-imports --show-error-codes --check-untyped-defs diff --git a/pyecsca/ec/context.py b/pyecsca/ec/context.py index b58db2a..33c961d 100644 --- a/pyecsca/ec/context.py +++ b/pyecsca/ec/context.py @@ -352,3 +352,24 @@ def local(ctx: Optional[Context] = None, copy: bool = True) -> ContextManager: :return: A context manager. """ return _ContextManager(ctx, copy) + + +@public +def compound(*contexts: Context) -> Context: + """ + Create a context that compounds multiple contexts. + + :param contexts: The contexts to compound. + :return: The compounded context. + """ + + class CompoundContext(Context): + def enter_action(self, action: Action) -> None: + for ctx in contexts: + ctx.enter_action(action) + + def exit_action(self, action: Action) -> None: + for ctx in contexts: + ctx.exit_action(action) + + return CompoundContext() diff --git a/pyecsca/ec/mult/comb.py b/pyecsca/ec/mult/comb.py index d24f557..ae6d0c1 100644 --- a/pyecsca/ec/mult/comb.py +++ b/pyecsca/ec/mult/comb.py @@ -198,7 +198,7 @@ class CombMultiplier(AccumulatorMultiplier, PrecompMultiplier, ScalarMultiplier) current_point = point for i in range(self.width): base_points[i] = current_point - if i != d - 1: + if i != self.width - 1: for _ in range(d): current_point = self._dbl(current_point) self._points = {} diff --git a/pyecsca/ec/mult/naf.py b/pyecsca/ec/mult/naf.py index 1d77056..4c6e0c2 100644 --- a/pyecsca/ec/mult/naf.py +++ b/pyecsca/ec/mult/naf.py @@ -270,7 +270,8 @@ class WindowNAFMultiplier(AccumulatorMultiplier, PrecompMultiplier, ScalarMultip self._points[2 * i + 1] = current_point if self.precompute_negation: self._points_neg[2 * i + 1] = self._neg(current_point) - current_point = self._add(current_point, double_point) + if i != 2 ** (self.width - 2) - 1: + current_point = self._add(current_point, double_point) result = {**self._points} if self.precompute_negation: result.update({-k: v for k, v in self._points_neg.items()}) diff --git a/pyecsca/ec/mult/window.py b/pyecsca/ec/mult/window.py index ed0cd05..e46179a 100644 --- a/pyecsca/ec/mult/window.py +++ b/pyecsca/ec/mult/window.py @@ -104,7 +104,8 @@ class SlidingWindowMultiplier( double_point = self._dbl(point) for i in range(0, 2 ** (self.width - 1)): self._points[2 * i + 1] = current_point - current_point = self._add(current_point, double_point) + if i != 2 ** (self.width - 1) - 1: + current_point = self._add(current_point, double_point) action.exit(self._points) def multiply(self, scalar: int) -> Point: @@ -232,7 +233,8 @@ class FixedWindowLTRMultiplier( converted = convert_base(scalar, self.m) q = copy(self._params.curve.neutral) for digit in reversed(converted): - q = self._mult_m(q) + if q != self._params.curve.neutral: + q = self._mult_m(q) if digit != 0: q = self._accumulate(q, self._points[digit]) if "scl" in self.formulas: diff --git a/pyecsca/sca/re/epa.py b/pyecsca/sca/re/epa.py index 1a6b19f..4ef1b74 100644 --- a/pyecsca/sca/re/epa.py +++ b/pyecsca/sca/re/epa.py @@ -1,8 +1,12 @@ """ Provides functionality inspired by the Exceptional Procedure Attack [EPA]_. """ + from typing import Callable, Literal, Union, Optional +import networkx as nx + + from public import public from pyecsca.ec.point import Point @@ -26,7 +30,8 @@ def graph_to_check_inputs( "affine" formula that checks the multiples of the points that need to be converted to affine coordinates. Which points this "affine" formula checks depends on the `precomp_to_affine` parameter. - :param ctx: The context containing the points and formulas. + :param precomp_ctx: The context containing the points and formulas (precomputation phase). + :param full_ctx: The context containing the points and formulas (full computation). :param out: The output point of the computation. :param check_condition: Whether to check all points or only those necessary for the output point. :param precomp_to_affine: Whether to include the precomputed points in the to-affine checks. @@ -73,9 +78,13 @@ def graph_to_check_inputs( if use_init and use_multiply: points = _necessary(full_ctx, affine_points) elif use_init: - points = _necessary(full_ctx, affine_points) & set(precomp_ctx.points.keys()) + points = _necessary(full_ctx, affine_points) & set( + precomp_ctx.points.keys() + ) elif use_multiply: - points = _necessary(full_ctx, affine_points) - set(precomp_ctx.points.keys()) + points = _necessary(full_ctx, affine_points) - set( + precomp_ctx.points.keys() + ) else: raise ValueError("check_condition must be 'all' or 'necessary'") # Special case the "to affine" transform and checks @@ -90,7 +99,9 @@ def graph_to_check_inputs( for point in points: formula = full_ctx.formulas[point] - if not formula or (check_formulas is not None and formula not in check_formulas): + if not formula or ( + check_formulas is not None and formula not in check_formulas + ): # Skip input point or infty point (they magically appear and do not have an origin formula) continue inputs = tuple(map(get_point, full_ctx.parents[point])) @@ -100,8 +111,79 @@ def graph_to_check_inputs( @public +def graph_plot_prepare( + precomp_ctx: MultipleContext, + full_ctx: MultipleContext, + out: Point, +) -> nx.DiGraph: + """ + Prepare the computation graph, highlighting necessary points and precomputed points. + + Legend: + - Circles: Necessary points in the computation. + - Triangles: Unnecessary points in the computation. + - Blue: Points computed during the full computation phase. + - Green: Points computed during the precomputation phase. + - Cyan: Precomputed points (stored by the multiplier). + + Plot the result using `nx.display`. + + :param precomp_ctx: The context containing the points and formulas (precomputation phase). + :param full_ctx: The context containing the points and formulas (full computation). + :param out: The output point of the computation. + :return: The networkx graph. + """ + graph = full_ctx.to_networkx() + + for layer, nodes in enumerate(nx.topological_generations(graph)): + for node in nodes: + graph.nodes[node]["layer"] = layer + for node in graph.nodes(): + graph.nodes[node]["necessary"] = False + queue = {out} + while queue: + node = queue.pop() + graph.nodes[node]["necessary"] = True + for n in graph.predecessors(node): + queue.add(n) + + pos = nx.multipartite_layout(graph, subset_key="layer") + nx.set_node_attributes(graph, pos, "pos") + + for point in graph.nodes(): + node = graph.nodes[point] + node["label"] = { + "label": node["multiple"], + "color": "black", + "bbox": {"boxstyle": "square", "alpha": 0.7, "facecolor": "white"} + } + + if point in precomp_ctx.points.keys(): + node["color"] = "#208020" + if node["precomp"]: + node["pos"][1] -= 0.01 + node["color"] = "#30a0a0" + else: + node["color"] = "#202080" + + if node["necessary"]: + node["shape"] = "o" + else: + node["shape"] = "^" + node["pos"][1] += 0.01 + + for u, v in graph.edges(): + edge = graph.edges[u, v] + edge["label"] = edge["formula"] + edge["curvature"] = "arc3,rad=0.05" + + return graph + + +@public def evaluate_checks( - check_funcs: dict[str, Union[Callable[[int, int], bool], Callable[[int], bool]]], check_inputs: dict[str, set[tuple[int, ...]]] + check_funcs: dict[str, Union[Callable[[int, int], bool], Callable[[int], bool]]], + check_inputs: dict[str, set[tuple[int, ...]]], ) -> bool: """ Evaluate the checks for each formula type based on the provided functions and inputs. @@ -141,7 +223,8 @@ def errors_out( """ Check whether the computation errors out based on the provided context, output point, and check functions. - :param ctx: The context containing the points and formulas. + :param precomp_ctx: The context containing the points and formulas (precomputation phase). + :param full_ctx: The context containing the points and formulas (full computation). :param out: The output point of the computation. :param check_funcs: The functions to apply for each formula type. There are two callable types: - `check(k, l)`, that gets applied to binary formulas (like `add`), where `k` and `l` are the input multiples @@ -157,5 +240,13 @@ def errors_out( .. note:: The scalar multiplier must not short-circuit. """ - formula_checks = graph_to_check_inputs(precomp_ctx, full_ctx, out, check_condition, precomp_to_affine, use_init, use_multiply) + formula_checks = graph_to_check_inputs( + precomp_ctx, + full_ctx, + out, + check_condition, + precomp_to_affine, + use_init, + use_multiply, + ) return evaluate_checks(check_funcs, formula_checks) diff --git a/pyecsca/sca/re/rpa.py b/pyecsca/sca/re/rpa.py index e899f20..2fd5973 100644 --- a/pyecsca/sca/re/rpa.py +++ b/pyecsca/sca/re/rpa.py @@ -18,6 +18,8 @@ from typing import ( Tuple, ) +import networkx as nx + from sympy import FF, sympify, Poly, symbols from pyecsca.ec.error import NonInvertibleError @@ -27,7 +29,7 @@ from pyecsca.sca.re.tree import Tree, Map from pyecsca.ec.coordinates import AffineCoordinateModel from pyecsca.ec.formula import ( FormulaAction, - ) +) from pyecsca.ec.mod import Mod, mod from pyecsca.ec.mult import ( ScalarMultiplicationAction, @@ -37,7 +39,7 @@ from pyecsca.ec.mult import ( from pyecsca.ec.params import DomainParameters from pyecsca.ec.model import ShortWeierstrassModel, MontgomeryModel from pyecsca.ec.point import Point -from pyecsca.ec.context import Context, Action, local +from pyecsca.ec.context import Context, Action, local, compound from pyecsca.ec.mult.fake import cached_fake_mult, fake_params from pyecsca.misc.utils import log, warn @@ -58,22 +60,50 @@ class MultipleContext(Context): """The mapping of points to the formula types they are a result of.""" precomp: MutableMapping[int, Point] """The mapping of precomputed multiples to the points they represent.""" + result: Optional[Point] + """The resulting point of the computation.""" inside: List[Action] """Whether we are inside a scalarmult/precomp action.""" keep_base: bool """Whether to keep the base point when building upon it.""" - def __init__(self, keep_base: bool = False): + def __init__( + self, + keep_base: bool = False, + track_precomp: bool = True, + track_scalarmult: bool = True, + ): self.base = None self.points = {} self.parents = {} self.formulas = {} self.precomp = {} self.inside = [] + self.result = None self.keep_base = keep_base + self._track_precomp = track_precomp + self._track_scalarmult = track_scalarmult + + @property + def track_precomp(self) -> bool: + """Whether to track PrecomputationAction actions.""" + return self._track_precomp + + @track_precomp.setter + def track_precomp(self, value: bool) -> None: + self._track_precomp = value + + @property + def track_scalarmult(self) -> bool: + """Whether to track ScalarMultiplicationAction actions.""" + return self._track_scalarmult + + @track_scalarmult.setter + def track_scalarmult(self, value: bool) -> None: + self._track_scalarmult = value def enter_action(self, action: Action) -> None: - if isinstance(action, (ScalarMultiplicationAction, PrecomputationAction)): + if (self._track_precomp and isinstance(action, PrecomputationAction)) or (self._track_scalarmult and isinstance(action, ScalarMultiplicationAction)): self.inside.append(action) if self.base: # If we already did some computation with this context try to see if we are building on top of it. @@ -100,10 +130,12 @@ class MultipleContext(Context): self.precomp = {} def exit_action(self, action: Action) -> None: - if isinstance(action, (ScalarMultiplicationAction, PrecomputationAction)): + if (self._track_precomp and isinstance(action, PrecomputationAction)) or (self._track_scalarmult and isinstance(action, ScalarMultiplicationAction)): self.inside.remove(action) if isinstance(action, PrecomputationAction): self.precomp.update(action.result) + if isinstance(action, ScalarMultiplicationAction): + self.result = action.result if isinstance(action, FormulaAction) and self.inside: action = cast(FormulaAction, action) shortname = action.formula.shortname @@ -156,6 +188,35 @@ class MultipleContext(Context): def __repr__(self): return f"{self.__class__.__name__}({self.base!r}, multiples={self.points.values()!r})" + def to_networkx(self) -> nx.DiGraph: + """ + Convert the context to a NetworkX graph. + + The nodes represent points, with attributes: + - multiple: The multiple of the base point. + - formula: The formula used to compute the point. + - precomp: Whether the point was the result of precomputation. + - result: Whether the point is the final result of the computation. + + The edges represent the computation steps, with attribute: + - formula: The formula used to compute the child point from the parent point. + + :return: A NetworkX DiGraph representing the computation. + """ + graph = nx.DiGraph() + for point, multiple in self.points.items(): + graph.add_node( + point, + multiple=multiple, + formula=self.formulas[point], + precomp=point in self.precomp.values(), + result=point == self.result, + ) + for point, parents in self.parents.items(): + for parent in parents: + graph.add_edge(parent, point, formula=self.formulas[point]) + return graph + @public def rpa_point_0y(params: DomainParameters) -> Optional[Point]: @@ -431,28 +492,29 @@ def multiple_graph( :param mult_factory: A callable that takes the formulas and instantiates the multiplier. :param dlog: Make an assumption that the symbolic input point is the `dlog` multiple of the base point. This is necessary if the multiplier does computation with the base point. - :return: The context with the computed multiples and the resulting point. + :return: The context with the computed multiples during precomputation, the context with the computed multiples + during the full computation, and the resulting point. """ params = fake_params(params) mult = cached_fake_mult(mult_class, mult_factory, params) - ctx = MultipleContext(keep_base=True) - with local(ctx, copy=False) as precomp_ctx: + precomp_ctx = MultipleContext(keep_base=True, track_scalarmult=False, track_precomp=True) + full_ctx = MultipleContext(keep_base=True, track_scalarmult=True, track_precomp=True) + with local(compound(precomp_ctx, full_ctx), copy=False): point = FakePoint(params.curve.coordinate_model) - if dlog: - ctx.base = params.generator - ctx.neutral = params.curve.neutral - ctx.points[ctx.base] = 1 - ctx.points[point] = dlog - ctx.points[ctx.neutral] = 0 - ctx.formulas[ctx.base] = "" - ctx.formulas[point] = "" - ctx.formulas[ctx.neutral] = "" - ctx.parents[ctx.base] = [] - ctx.parents[point] = [] - ctx.parents[ctx.neutral] = [] + if dlog is not None: + for ctx in (precomp_ctx, full_ctx): + ctx.base = params.generator + ctx.neutral = params.curve.neutral + ctx.points[ctx.base] = 1 + ctx.points[point] = dlog + ctx.points[ctx.neutral] = 0 + ctx.formulas[ctx.base] = "" + ctx.formulas[point] = "" + ctx.formulas[ctx.neutral] = "" + ctx.parents[ctx.base] = [] + ctx.parents[point] = [] + ctx.parents[ctx.neutral] = [] mult.init(params, point) - - with local(ctx, copy=True) as full_ctx: out = mult.multiply(scalar) return precomp_ctx, full_ctx, out @@ -472,10 +534,11 @@ def multiples_from_graph( use_multiply: bool = True, ): """ + Compute the multiples computed for a given scalar and multiplier from the multiple graph. - :param precomp_ctx: - :param full_ctx: - :param out: + :param precomp_ctx: The context containing the points and formulas (precomputation phase). + :param full_ctx: The context containing the points and formulas (full computation). + :param out: The output point of the computation. :param kind: The kind of multiples to return. Can be one of "all", "input", "necessary", or "precomp+necessary". :param use_init: Whether to consider the point multiples that happen in scalarmult initialization. :param use_multiply: Whether to consider the point multiples that happen in scalarmult multiply (after initialization). @@ -569,7 +632,9 @@ def multiples_computed( .. note:: The scalar multiplier must not short-circuit. """ - precomp_ctx, full_ctx, out = multiple_graph(scalar, params, mult_class, mult_factory) + precomp_ctx, full_ctx, out = multiple_graph( + scalar, params, mult_class, mult_factory + ) return ( multiples_from_graph(precomp_ctx, full_ctx, out, kind, use_init, use_multiply) diff --git a/pyecsca/sca/re/tree.py b/pyecsca/sca/re/tree.py index a45faaa..6d07ba4 100644 --- a/pyecsca/sca/re/tree.py +++ b/pyecsca/sca/re/tree.py @@ -667,7 +667,7 @@ def _build_tree( ) log(pad + f"Split {len(group_cfgs)} via dmap {best_i}.") # And build the tree recursively - child = _build_tree(group_cfgs, maps, response=output, depth=depth + 1, index=i, breadth=groups.ngroups, split=split) + child = _build_tree(group_cfgs, maps, response=output, depth=depth + 1, index=i, breadth=groups.ngroups, split=split, leaf_callback=leaf_callback) child.parent = result return result diff --git a/test/ec/test_context.py b/test/ec/test_context.py index e82f852..eeb2365 100644 --- a/test/ec/test_context.py +++ b/test/ec/test_context.py @@ -1,6 +1,13 @@ import pytest -from pyecsca.ec.context import local, DefaultContext, Node, PathContext, Action +from pyecsca.ec.context import ( + local, + DefaultContext, + Node, + PathContext, + Action, + compound, +) from pyecsca.ec.key_generation import KeyGeneration from pyecsca.ec.mod import RandomModAction from pyecsca.ec.mult import LTRMultiplier, ScalarMultiplicationAction @@ -124,6 +131,14 @@ def test_multiple_enter_no_copy(mult): assert len(ctx1.actions) == len(ctx2.actions) +def test_compound(mult): + one = DefaultContext() + other = DefaultContext() + with local(compound(one, other)): + mult.multiply(59) + assert len(one.actions) == len(other.actions) + + def test_path(mult, secp128r1): with local(PathContext([0, 1])) as ctx: key_generator = KeyGeneration(mult, secp128r1, True) diff --git a/test/ec/test_countermeasures.py b/test/ec/test_countermeasures.py index 28d3f33..7bd36db 100644 --- a/test/ec/test_countermeasures.py +++ b/test/ec/test_countermeasures.py @@ -1,5 +1,6 @@ from itertools import product from copy import copy +from typing import cast import pytest @@ -12,25 +13,43 @@ from pyecsca.ec.countermeasures import ( PointBlinding, MultPointBlinding, ) +from pyecsca.ec.formula import AdditionFormula, DoublingFormula, NegationFormula, ScalingFormula from pyecsca.ec.mod import mod -from pyecsca.ec.mult import * +from pyecsca.ec.mult import ( + LTRMultiplier, + RTLMultiplier, + BinaryNAFMultiplier, + WindowNAFMultiplier, + WindowBoothMultiplier, + SimpleLadderMultiplier, + FixedWindowLTRMultiplier, + SlidingWindowMultiplier, + FullPrecompMultiplier, + BGMWMultiplier, + CombMultiplier, + CoronMultiplier, + AccumulationOrder, + ProcessingDirection, + FakeAdditionFormula, + FakeNegationFormula, +) from pyecsca.sca.re.rpa import multiple_graph @pytest.fixture(params=["add-1998-cmo-2", "add-2015-rcb"]) def add(secp128r1, request): - return secp128r1.curve.coordinate_model.formulas[request.param] + return cast(AdditionFormula, secp128r1.curve.coordinate_model.formulas[request.param]) @pytest.fixture(params=["dbl-1998-cmo-2", "dbl-2015-rcb"]) def dbl(secp128r1, request): - return secp128r1.curve.coordinate_model.formulas[request.param] + return cast(DoublingFormula, secp128r1.curve.coordinate_model.formulas[request.param]) @pytest.fixture() def mults(secp128r1, add, dbl): - neg = secp128r1.curve.coordinate_model.formulas["neg"] - scale = secp128r1.curve.coordinate_model.formulas["z"] + neg = cast(NegationFormula, secp128r1.curve.coordinate_model.formulas["neg"]) + scale = cast(ScalingFormula, secp128r1.curve.coordinate_model.formulas["z"]) ltr_options = { "always": (True, False), @@ -310,7 +329,7 @@ def test_mult_point_blinding(mults, secp128r1, num): EuclideanSplitting, BrumleyTuveri, PointBlinding, - MultPointBlinding + MultPointBlinding, ), repeat=2, ), @@ -371,7 +390,7 @@ def test_combination(scalar, one, two, secp128r1): EuclideanSplitting, BrumleyTuveri, PointBlinding, - MultPointBlinding + MultPointBlinding, ), repeat=2, ), @@ -385,7 +404,7 @@ def test_combination_multiples(scalar, one, two, secp128r1): for i in range(2**two.nmults): bits = format(i, f"0{two.nmults}b") - def partial(*args, **kwargs): + def mult_partial(*args, **kwargs): mult = LTRMultiplier(*args, **kwargs) add = FakeAdditionFormula(secp128r1.curve.coordinate_model) @@ -413,9 +432,138 @@ def test_combination_multiples(scalar, one, two, secp128r1): dlog = 1 else: dlog = None - precomp_ctx, full_ctx, out = multiple_graph(scalar, secp128r1, LTRMultiplier, partial, dlog=dlog) + precomp_ctx, full_ctx, out = multiple_graph( + scalar, secp128r1, LTRMultiplier, mult_partial, dlog=dlog + ) assert out is not None - assert mod(full_ctx.points[out], secp128r1.order) == mod(scalar, secp128r1.order) + assert mod(full_ctx.points[out], secp128r1.order) == mod( + scalar, secp128r1.order + ) + + +@pytest.mark.parametrize( + "scalar", + [ + 3253857902090173296443513219124437746, + 1234567893141592653589793238464338327, + 86728612699079982903603364383639280149, + 60032993417060801067503559426926851620, + ], +) +@pytest.mark.parametrize( + "ctr", + ( + GroupScalarRandomization, + AdditiveSplitting, + MultiplicativeSplitting, + EuclideanSplitting, + BrumleyTuveri, + PointBlinding, + MultPointBlinding, + ), +) +@pytest.mark.parametrize( + "mult_ident", + ( + (BinaryNAFMultiplier, {}), + (WindowNAFMultiplier, {"width": 5}), + (WindowBoothMultiplier, {"width": 5}), + (SlidingWindowMultiplier, {"width": 2}), + ), + ids=lambda ident: ident[0].__name__ + + ",".join(f"{k}={v}" for k, v in ident[1].items()), +) +def test_precomp_multiples(scalar, ctr, mult_ident, secp128r1): + if ctr == PointBlinding: + pytest.xfail("PointBlinding will never work with multiple graphs.") + mult_cls, mult_kws = mult_ident + + def mult_partial(*args, **kwargs): + mult = mult_cls(*args, **kwargs, **mult_kws) + return ( + ctr.from_single(mult) + if ctr is not MultPointBlinding + else ctr.from_single( + mult, + neg=FakeNegationFormula(secp128r1.curve.coordinate_model), + ) + ) + + if ctr == MultPointBlinding: + dlog = 1 + else: + dlog = None + + precomp_ctx, full_ctx, out = multiple_graph( + scalar, secp128r1, mult_cls, mult_partial, dlog=dlog + ) + # These multipliers have precomputation, so they should have points in precomp_ctx + assert precomp_ctx.points + assert precomp_ctx.precomp + for pt in precomp_ctx.points: + assert pt in full_ctx.points + + +@pytest.mark.parametrize( + "scalar", + [ + 3253857902090173296443513219124437746, + 1234567893141592653589793238464338327, + 86728612699079982903603364383639280149, + 60032993417060801067503559426926851620, + ], +) +@pytest.mark.parametrize( + "ctr", + ( + GroupScalarRandomization, + AdditiveSplitting, + MultiplicativeSplitting, + EuclideanSplitting, + BrumleyTuveri, + PointBlinding, + MultPointBlinding, + ), +) +def test_cached_multiples_init(scalar, ctr, secp128r1, mocker): + if ctr == PointBlinding: + pytest.xfail("PointBlinding will never work with multiple graphs.") + init = mocker.patch( + "pyecsca.ec.mult.binary.LTRMultiplier.init", + side_effect=LTRMultiplier.init, + autospec=True, + ) + + called_partial = 0 + + def mult_partial(*args, **kwargs): + nonlocal called_partial + called_partial += 1 + + mults = [] + for _ in range(ctr.nmults): + mult = LTRMultiplier(*args, **kwargs) + # print(f"Created mult {id(mult)}") + mults.append(mult) + + return ( + ctr(*mults) + if ctr is not MultPointBlinding + else ctr(*mults, neg=FakeNegationFormula(secp128r1.curve.coordinate_model)) + ) + + if ctr == MultPointBlinding: + dlog = 1 + else: + dlog = None + multiple_graph(scalar, secp128r1, LTRMultiplier, mult_partial, dlog=dlog) + # print(f"Partial calls {called_partial}") + assert called_partial == 1 + # print(f"Init calls {init.call_count}") + assert init.call_count == ctr.nmults + for c in init.call_args_list: + # print(f"Init mult {id(c.args[0])}") + pass @pytest.mark.parametrize( diff --git a/test/sca/test_epa.py b/test/sca/test_epa.py index cab2f03..0975e35 100644 --- a/test/sca/test_epa.py +++ b/test/sca/test_epa.py @@ -1,12 +1,20 @@ import random +import sys from functools import partial +import networkx as nx import pytest +from matplotlib import pyplot as plt + from pyecsca.ec.coordinates import EFDCoordinateModel +from pyecsca.ec.curve import EllipticCurve +from pyecsca.ec.mod import mod +from pyecsca.ec.model import ShortWeierstrassModel +from pyecsca.ec.params import Point, InfinityPoint from pyecsca.ec.mult import * from pyecsca.sca.re.rpa import multiple_graph, multiples_from_graph -from pyecsca.sca.re.epa import errors_out, graph_to_check_inputs +from pyecsca.sca.re.epa import errors_out, graph_to_check_inputs, graph_plot_prepare def test_errors_out(secp128r1): @@ -139,7 +147,7 @@ def test_errors_out_precomp(secp128r1): use_multiply=False, ) assert set(affine_multiples) == set(precomp_ctx.precomp.keys()) - assert set(add_multiples) == {(1, 2), (3, 2)} + assert set(add_multiples) == {(1, 2)} # Here we check all, during both precomp and final multiply. affine_multiples = [] @@ -161,7 +169,7 @@ def test_errors_out_precomp(secp128r1): } # The add multiples should be the same as before, plus any inputs to add that happened # during the final multiply, there is only one, rest are doubles. - assert set(add_multiples) == {(1, 2), (3, 2), (16, -1)} + assert set(add_multiples) == {(1, 2), (16, -1)} # Now check just the multiply with all. affine_multiples = [] @@ -320,6 +328,38 @@ def mult(secp128r1, request): return mult_class, partial(mult_class, **mult_kwargs) +@pytest.fixture() +def toy_params(): + model = ShortWeierstrassModel() + coords = model.coordinates["projective"] + p = 0xCB5E1D94A6168511 + a = mod(0xB166CA7D2DFBF69F, p) + b = mod(0x855BB40CB6937C4B, p) + gx = mod(0x253B2638BD13D6F4, p) + gy = mod(0x1E91A1A182287E71, p) + + infty = InfinityPoint(coords) + g = Point(coords, X=gx, Y=gy, Z=mod(1, p)) + curve = EllipticCurve(model, coords, p, infty, dict(a=a, b=b)) + return DomainParameters(curve, g, 0xCB5E1D94601A3AC5, 1) + + +@pytest.mark.skipif(sys.version_info < (3, 11), reason="Requires Python 3.11 or higher (networkx >= 3.5)") +def test_plot(toy_params, mult, plot_path): + mult_class, mult_factory = mult + precomp_ctx, full_ctx, out = multiple_graph( + scalar=15546875464546546545644687 % toy_params.order, + params=toy_params, + mult_class=mult_class, + mult_factory=mult_factory, + ) + fig, ax = plt.subplots(figsize=[60, 10]) + graph = graph_plot_prepare(precomp_ctx, full_ctx, out) + nx.display(graph, canvas=ax, node_size=700) + fig.savefig(str(plot_path()) + ".png") + plt.close() + + def test_independent_check_inputs(secp128r1, mult): """ Check that the set of check inputs is constant if (use_init = True, use_multiply = False) for all scalars @@ -354,13 +394,22 @@ def test_independent_check_inputs(secp128r1, mult): last_check_inputs = check_inputs -@pytest.mark.parametrize("check_condition,precomp_to_affine,multiples_kind", [ - ("all", True, "all"), - ("all", False, "all"), - ("necessary", True, "precomp+necessary"), - ("necessary", False, "necessary"), -]) -def test_consistency_multiples(secp128r1, mult, check_condition, precomp_to_affine, multiples_kind): +@pytest.mark.parametrize( + "check_condition,precomp_to_affine,multiples_kind", + [ + ("all", True, "all"), + ("all", False, "all"), + ("necessary", True, "precomp+necessary"), + ("necessary", False, "necessary"), + ], +) +def test_consistency_multiples( + secp128r1, + mult, + check_condition, + precomp_to_affine, + multiples_kind, +): """ Test consistency between the graph_to_check_inputs and multiples_computed functions for the same error model """ @@ -379,21 +428,19 @@ def test_consistency_multiples(secp128r1, mult, check_condition, precomp_to_affi out, check_condition=check_condition, precomp_to_affine=precomp_to_affine, - use_init=True, - use_multiply=True, ) # Now map the check inputs to the set of multiples they cover multiples_from_check_inputs = set() - for k, in check_inputs.get("neg", []): + for (k,) in check_inputs.get("neg", []): multiples_from_check_inputs.add(k) multiples_from_check_inputs.add(-k) - for k, in check_inputs.get("affine", []): + for (k,) in check_inputs.get("affine", []): multiples_from_check_inputs.add(k) for k, l in check_inputs.get("add", []): multiples_from_check_inputs.add(k) multiples_from_check_inputs.add(l) multiples_from_check_inputs.add(k + l) - for k, in check_inputs.get("dbl", []): + for (k,) in check_inputs.get("dbl", []): multiples_from_check_inputs.add(k) multiples_from_check_inputs.add(2 * k) # Multiples computed removes the zero @@ -401,9 +448,6 @@ def test_consistency_multiples(secp128r1, mult, check_condition, precomp_to_affi # Now compute the multiples via the other function to compare. multiples = multiples_from_graph( - precomp_ctx, - full_ctx, - out, - kind=multiples_kind + precomp_ctx, full_ctx, out, kind=multiples_kind ) assert multiples_from_check_inputs == multiples diff --git a/test/sca/test_rpa.py b/test/sca/test_rpa.py index e92ec44..6497ba2 100644 --- a/test/sca/test_rpa.py +++ b/test/sca/test_rpa.py @@ -94,7 +94,7 @@ def test_multiples_no_multiply(rpa_params): wnaf = partial(WindowNAFMultiplier, width=4) multiples = multiples_computed(78699, rpa_params, WindowNAFMultiplier, wnaf, True, False) - assert multiples == {1, 2, 3, 5, 7, 9} + assert multiples == {1, 2, 3, 5, 7} def test_multiples_bnaf(rpa_params): diff --git a/test/sca/test_rpa_context.py b/test/sca/test_rpa_context.py index c50b420..515a1a2 100644 --- a/test/sca/test_rpa_context.py +++ b/test/sca/test_rpa_context.py @@ -79,7 +79,7 @@ def test_precomp(secp128r1, add, dbl, neg, scale): with local(MultipleContext()) as ctx: wnaf.init(secp128r1, secp128r1.generator) muls = list(ctx.points.values()) - assert muls == [1, 0, 2, 3, 5] + assert muls == [1, 0, 2, 3] def test_window(secp128r1, add, dbl, neg): @@ -1,5 +1,5 @@ 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