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sca-core.jl
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sca-core.jl
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# This file is part of Jlsca, license is GPLv3, see https://www.gnu.org/licenses/gpl-3.0.en.html
#
# Author: Cees-Bart Breunesse
using Dpa
using Lra
using Trs
export Attack,Analysis,LRA,DPA,IncrementalCPA
export analysis,attack
export sca
export scatask
export Status
export printParameters,getParameters
export Direction,Phase
export getNumberOfCandidates
abstract Analysis
abstract NonIncrementalAnalysis <: Analysis
# two types of analysis methods: DPA and LRA
type DPA <: NonIncrementalAnalysis
statistic::Function
leakageFunctions::Vector{Function}
postProcess::Vector{Function}
function DPA()
return new(cor, [hw], [abs])
end
end
type LRA <: NonIncrementalAnalysis
basisModel::Function
postProcess::Vector{Function}
function LRA(basisModel)
return new(basisModel, [])
end
function LRA()
return new(basisModelSingleBits, [])
end
end
type IncrementalCPA <: Analysis
leakageFunctions::Vector{Function}
postProcess::Vector{Function}
reducer::Function
function IncrementalCPA()
return new([hw], [abs], x -> max(abs(x)))
end
end
function printParameters(a::IncrementalCPA)
@printf("leakages: %s\n", a.leakageFunctions)
end
function printParameters(a::LRA)
@printf("basismodel: %s\n", a.basisModel)
end
function printParameters(a::DPA)
@printf("statistic: %s\n", a.statistic)
@printf("leakages: %s\n", a.leakageFunctions)
end
getNrLeakageFunctions(a::LRA) = 1
getNrLeakageFunctions(a::DPA) = length(a.leakageFunctions)
getNrLeakageFunctions(a::IncrementalCPA) = length(a.leakageFunctions)
abstract Attack
# currently supported: LRA and DPA
# (mostly) running a CPA attack, but is not called CPA because it's not necessarly using correlation. You can plug another function in the DPA type "statistic" field. But anyway, it's mostly CPA.
function attack(a::DPA, trs::Trace, range::Range, keyByteOffsets::Vector{Int}, dataFunction::Function, dataFunctionReturnType::DataType, kbvals::Vector, scoresAndOffsets)
attackfun = (data, samples, keyByteOffsets) -> dpa(data, samples, keyByteOffsets, dataFunction, a.leakageFunctions, a.statistic, kbvals, dataFunctionReturnType, UInt8)
attack(convert(NonIncrementalAnalysis, a), attackfun, trs, range, keyByteOffsets, dataFunction, dataFunctionReturnType, kbvals, scoresAndOffsets)
end
function attack(a::NonIncrementalAnalysis, attackfun::Function, trs::Trace, range::Range, keyByteOffsets::Vector{Int}, dataFunction::Function, dataFunctionReturnType::DataType, kbvals::Vector, scoresAndOffsets)
((data, samples), eof) = @time readTraces(trs, range)
if data == nothing || samples == nothing
return
end
for kb in 1:length(keyByteOffsets)
if hasPostProcessor(trs)
kbsamples = samples[kb]
kbdata = data[kb]
else
kbsamples = samples
kbdata = reshape(data[:,kb], size(data)[1], 1)
end
@printf("%s on samples shape %s and data shape %s\n", string(typeof(a).name.name), size(kbsamples), size(kbdata))
if size(kbsamples)[2] == 0
@printf("no samples!\n")
scores = nothing
continue
end
# run the attack
@time C = attackfun(kbdata, kbsamples, [keyByteOffsets[kb]])
# nop the nans
C[isnan(C)] = 0
# get the scores for all leakage functions
getScoresAndOffsets!(scoresAndOffsets, C, 1, kb, getNrLeakageFunctions(a), a.postProcess, length(kbvals))
end
end
# running an LRA attack (I know this is also a DPA attack, I know, but it's a completely different beast from correlation, mia, or difference of means)
function attack(a::LRA, trs::Trace, range::Range, keyByteOffsets::Vector{Int}, dataFunction::Function, dataFunctionReturnType::DataType, kbvals::Vector, scoresAndOffsets)
attackfun = (data, samples, keyByteOffsets) -> lra(data, samples, keyByteOffsets, dataFunction, a.basisModel, kbvals)
attack(convert(NonIncrementalAnalysis, a), attackfun, trs, range, keyByteOffsets, dataFunction, dataFunctionReturnType, kbvals, scoresAndOffsets)
end
function attack(a::IncrementalCPA, trs::Trace, range::Range, keyByteOffsets::Vector{Int}, dataFunction::Function, dataFunctionReturnType::DataType, kbvals::Vector, scoresAndOffsets)
if isa(trs, DistributedTrace)
@sync for w in workers()
@spawnat w init(Main.trs.postProcInstance, keyByteOffsets, dataFunction, kbvals, a.leakageFunctions)
end
else
init(trs.postProcInstance, keyByteOffsets, dataFunction, kbvals, a.leakageFunctions)
end
@time (C,eof) = readTraces(trs, range)
for kb in 1:length(keyByteOffsets)
getScoresAndOffsets!(scoresAndOffsets, C, kb, kb, length(a.leakageFunctions), a.postProcess, length(kbvals))
end
end
# does the attack & analysis per xxx traces, should be called from an scatask
function analysis(params::Attack, phase::Enum, trs::Trace, firstTrace::Int, numberOfTraces::Int, targetFunction::Function, targetFunctionType::Type, kbVals::Vector{UInt8}, keyByteOffsets::Vector{Int})
local scoresAndOffsets
if !isnull(params.updateInterval) && !hasPostProcessor(trs)
@printf("WARNING: update interval only supported for traces with a post processor, option ignored\n")
updateInterval = Nullable()
end
offset = firstTrace
stepSize = min(numberOfTraces, get(params.updateInterval, numberOfTraces))
scoresAndOffsets = allocateScoresAndOffsets(getNrLeakageFunctions(params.analysis), length(kbVals), length(keyByteOffsets))
eof = false
for offset in firstTrace:stepSize:numberOfTraces
range = offset:(offset+min(stepSize, numberOfTraces - offset + 1)-1)
if eof
break
end
attack(params.analysis, trs, range, keyByteOffsets, targetFunction, targetFunctionType, kbVals, scoresAndOffsets)
# let somebody do something with the scores for these traces
produce(INTERMEDIATESCORES, (scoresAndOffsets, getCounter(trs), length(keyByteOffsets), keyByteOffsets, !isnull(params.knownKey) ? getCorrectRoundKeyMaterial(params, phase) : Nullable()))
end
# reset the state of trace post processor (conditional averager)
reset(trs)
# return the final combined scores to scatask
scores = getCombinedScores(scoresAndOffsets)
return scores
end
@enum Direction FORWARD=1 BACKWARD=2
@enum Phase PHASE1 PHASE2 PHASE3 PHASE4 PHASE5 PHASE6
@enum Status FINISHED PHASERESULT INTERMEDIATESCORES INTERMEDIATESCORESANDOFFSETS INTERMEDIATECORRELATION
for s in instances(Direction); @eval export $(Symbol(s)); end
for s in instances(Phase); @eval export $(Symbol(s)); end
for s in instances(Status); @eval export $(Symbol(s)); end
# generic sca function, this one is called in all the unit tests and the main functions
function sca(trs::Trace, params::Attack, firstTrace::Int=1, numberOfTraces::Int=length(trs), printSubs::Bool=false, scoresCallBack::Nullable{Function}=Nullable{Function}())
@printf("\nJlsca running in Julia version: %s, %d processes/%d workers\n\n", VERSION, nprocs(), nworkers())
printParameters(params)
local key
local status = nothing
local phaseInput = params.phaseInput
if length(params.phases) == 0
params.phases = getPhases(params)
end
if !isnull(params.outputkka) && !isnull(params.knownKey)
# kkaFilename = @sprintf("%s.kka_%s.csv", trs.filename, toShortString(params))
kkaFilename = get(params.outputkka)
truncate(kkaFilename)
end
finished = false
for phase in params.phases
if finished
break
end
@printf("\nphase: %s\n\n", phase)
# function scatask is overloaded for the params type
t::Task = @task scatask(trs, params, firstTrace, numberOfTraces, phase, phaseInput)
try
# iterate through whatever scatask is producing
for (status, statusData) in t
if status == FINISHED
finished = true
key = statusData
if key != nothing
@printf("recovered key: %s\n", bytes2hex(key))
if !isnull(params.knownKey)
@printf("knownkey match: %s\n", string(key == get(params.knownKey)))
end
end
elseif status == INTERMEDIATESCORES
(scoresAndOffsets, numberOfTraces2, dataWidth, keyOffsets, knownKey) = statusData
printScores(scoresAndOffsets, dataWidth, keyOffsets, numberOfTraces2, (+), knownKey, printSubs, 5)
if !isnull(params.outputkka) && !isnull(params.knownKey)
add2kka(scoresAndOffsets, dataWidth, keyOffsets, numberOfTraces2, get(knownKey), kkaFilename)
end
if !isnull(scoresCallBack)
get(scoresCallBack)(phase, params, scoresAndOffsets, dataWidth, keyOffsets, numberOfTraces2)
end
elseif status == PHASERESULT
phaseInput = statusData
if !isnull(phaseInput)
@printf("next phase input: %s\n", bytes2hex(get(phaseInput)))
end
else
@printf("WARNING: don't know how to handle %s produced by scatask for %s\n", string(status), string(params))
end
end
catch e
if t.exception != nothing
# @printf("Task blew up: %s", t.exception)
Base.show_backtrace(STDOUT, t.backtrace)
@printf("\n")
end
rethrow(e)
end
end
if !isnull(params.outputkka) && !isnull(params.knownKey)
@printf("KKA output in %s\n", get(params.outputkka))
end
if status == FINISHED
# tests rely on the recovered key being returned
return key
end
end
# fills the attack parameters with data from the file name
function getParameters(filename::AbstractString, direction::Direction)
local params::Attack
m = match(r"aes([0-9]+)_(..)_([^_]*)_([a-zA-Z0-9]*)", filename)
if m != nothing
if m.captures[2] == "sb"
params = AesSboxAttack()
elseif m.captures[2] == "mc"
params = AesMCAttack()
end
params.keyLength::AesKeyLength = div(parse(m.captures[1]),8)
modeStr = m.captures[3]
if modeStr == "ciph"
params.mode = CIPHER
elseif modeStr == "invciph"
params.mode = INVCIPHER
elseif modeStr == "eqinvciph"
params.mode = EQINVCIPHER
end
params.knownKey = hex2bytes(m.captures[4])
params.keyByteOffsets = collect(1:16)
params.direction = direction
if direction == FORWARD
params.dataOffset = 1
else
params.dataOffset = 17
end
return params
end
m = match(r"([t]{0,1}des[1-3]{0,1})_([^_]*)_([a-zA-Z0-9]*)", filename)
if m != nothing
params = DesSboxAttack()
params.analysis = DPA()
params.analysis.leakageFunctions = [bit0, bit1, bit2, bit3]
modeStr = m.captures[1]
if modeStr == "des"
params.mode = DES
elseif modeStr == "tdes1"
params.mode = TDES1
elseif modeStr == "tdes2"
params.mode = TDES2
elseif modeStr == "tdes3"
params.mode = TDES3
end
params.encrypt = (m.captures[2] == "enc" ? true : false)
params.knownKey = hex2bytes(m.captures[3])
params.direction = direction
if direction == FORWARD
params.dataOffset = 1
else
params.dataOffset = 9
end
return params
end
end