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//===- FuzzerCorpus.h - Internal header for the Fuzzer ----------*- C++ -* ===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// fuzzer::InputCorpus
//===----------------------------------------------------------------------===//
#ifndef LLVM_FUZZER_CORPUS
#define LLVM_FUZZER_CORPUS
#include <random>
#include <unordered_set>
#include "FuzzerDefs.h"
#include "FuzzerRandom.h"
#include "FuzzerTracePC.h"
namespace fuzzer {
struct InputInfo {
Unit U; // The actual input data.
uint8_t Sha1[kSHA1NumBytes]; // Checksum.
// Number of features that this input has and no smaller input has.
size_t NumFeatures = 0;
size_t Tmp = 0; // Used by ValidateFeatureSet.
// Stats.
size_t NumExecutedMutations = 0;
size_t NumSuccessfullMutations = 0;
};
class InputCorpus {
public:
static const size_t kFeatureSetSize = 1 << 16;
InputCorpus() {
Inputs.reserve(1 << 14); // Avoid too many resizes.
memset(InputSizesPerFeature, 0, sizeof(InputSizesPerFeature));
memset(SmallestElementPerFeature, 0, sizeof(SmallestElementPerFeature));
}
size_t size() const { return Inputs.size(); }
size_t SizeInBytes() const {
size_t Res = 0;
for (auto &II : Inputs)
Res += II.U.size();
return Res;
}
size_t NumActiveUnits() const {
size_t Res = 0;
for (auto &II : Inputs)
Res += !II.U.empty();
return Res;
}
bool empty() const { return Inputs.empty(); }
const Unit &operator[] (size_t Idx) const { return Inputs[Idx].U; }
void AddToCorpus(const Unit &U, size_t NumFeatures) {
assert(!U.empty());
uint8_t Hash[kSHA1NumBytes];
if (FeatureDebug)
Printf("ADD_TO_CORPUS %zd NF %zd\n", Inputs.size(), NumFeatures);
ComputeSHA1(U.data(), U.size(), Hash);
Hashes.insert(Sha1ToString(Hash));
Inputs.push_back(InputInfo());
InputInfo &II = Inputs.back();
II.U = U;
II.NumFeatures = NumFeatures;
memcpy(II.Sha1, Hash, kSHA1NumBytes);
UpdateCorpusDistribution();
ValidateFeatureSet();
}
typedef const std::vector<InputInfo>::const_iterator ConstIter;
ConstIter begin() const { return Inputs.begin(); }
ConstIter end() const { return Inputs.end(); }
bool HasUnit(const Unit &U) { return Hashes.count(Hash(U)); }
bool HasUnit(const std::string &H) { return Hashes.count(H); }
InputInfo &ChooseUnitToMutate(Random &Rand) {
InputInfo &II = Inputs[ChooseUnitIdxToMutate(Rand)];
assert(!II.U.empty());
return II;
};
// Returns an index of random unit from the corpus to mutate.
// Hypothesis: units added to the corpus last are more likely to be
// interesting. This function gives more weight to the more recent units.
size_t ChooseUnitIdxToMutate(Random &Rand) {
size_t Idx = static_cast<size_t>(CorpusDistribution(Rand.Get_mt19937()));
assert(Idx < Inputs.size());
return Idx;
}
void PrintStats() {
for (size_t i = 0; i < Inputs.size(); i++) {
const auto &II = Inputs[i];
Printf(" [%zd %s]\tsz: %zd\truns: %zd\tsucc: %zd\n", i,
Sha1ToString(II.Sha1).c_str(), II.U.size(),
II.NumExecutedMutations, II.NumSuccessfullMutations);
}
}
void PrintFeatureSet() {
for (size_t i = 0; i < kFeatureSetSize; i++) {
if(size_t Sz = GetFeature(i))
Printf("[%zd: id %zd sz%zd] ", i, SmallestElementPerFeature[i], Sz);
}
Printf("\n\t");
for (size_t i = 0; i < Inputs.size(); i++)
if (size_t N = Inputs[i].NumFeatures)
Printf(" %zd=>%zd ", i, N);
Printf("\n");
}
bool AddFeature(size_t Idx, uint32_t NewSize, bool Shrink) {
assert(NewSize);
Idx = Idx % kFeatureSetSize;
uint32_t OldSize = GetFeature(Idx);
if (OldSize == 0 || (Shrink && OldSize > NewSize)) {
if (OldSize > 0) {
InputInfo &II = Inputs[SmallestElementPerFeature[Idx]];
assert(II.NumFeatures > 0);
II.NumFeatures--;
if (II.NumFeatures == 0) {
II.U.clear();
if (FeatureDebug)
Printf("EVICTED %zd\n", SmallestElementPerFeature[Idx]);
}
}
if (FeatureDebug)
Printf("ADD FEATURE %zd sz %d\n", Idx, NewSize);
SmallestElementPerFeature[Idx] = Inputs.size();
InputSizesPerFeature[Idx] = NewSize;
CountingFeatures = true;
return true;
}
return false;
}
size_t NumFeatures() const {
size_t Res = 0;
for (size_t i = 0; i < kFeatureSetSize; i++)
Res += GetFeature(i) != 0;
return Res;
}
private:
static const bool FeatureDebug = false;
size_t GetFeature(size_t Idx) const { return InputSizesPerFeature[Idx]; }
void ValidateFeatureSet() {
if (!CountingFeatures) return;
if (FeatureDebug)
PrintFeatureSet();
for (size_t Idx = 0; Idx < kFeatureSetSize; Idx++)
if (GetFeature(Idx))
Inputs[SmallestElementPerFeature[Idx]].Tmp++;
for (auto &II: Inputs) {
if (II.Tmp != II.NumFeatures)
Printf("ZZZ %zd %zd\n", II.Tmp, II.NumFeatures);
assert(II.Tmp == II.NumFeatures);
II.Tmp = 0;
}
}
// Updates the probability distribution for the units in the corpus.
// Must be called whenever the corpus or unit weights are changed.
void UpdateCorpusDistribution() {
size_t N = Inputs.size();
Intervals.resize(N + 1);
Weights.resize(N);
std::iota(Intervals.begin(), Intervals.end(), 0);
if (CountingFeatures)
for (size_t i = 0; i < N; i++)
Weights[i] = Inputs[i].NumFeatures * (i + 1);
else
std::iota(Weights.begin(), Weights.end(), 1);
CorpusDistribution = std::piecewise_constant_distribution<double>(
Intervals.begin(), Intervals.end(), Weights.begin());
}
std::piecewise_constant_distribution<double> CorpusDistribution;
std::vector<double> Intervals;
std::vector<double> Weights;
std::unordered_set<std::string> Hashes;
std::vector<InputInfo> Inputs;
bool CountingFeatures = false;
uint32_t InputSizesPerFeature[kFeatureSetSize];
uint32_t SmallestElementPerFeature[kFeatureSetSize];
};
} // namespace fuzzer
#endif // LLVM_FUZZER_CORPUS
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