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1 //===- FuzzerCorpus.h - Internal header for the Fuzzer ----------*- C++ -* ===//
2 //
3 // The LLVM Compiler Infrastructure
4 //
5 // This file is distributed under the University of Illinois Open Source
6 // License. See LICENSE.TXT for details.
7 //
8 //===----------------------------------------------------------------------===//
9 // fuzzer::InputCorpus
10 //===----------------------------------------------------------------------===//
11
12 #ifndef LLVM_FUZZER_CORPUS
13 #define LLVM_FUZZER_CORPUS
14
15 #include "FuzzerDefs.h"
16 #include "FuzzerIO.h"
17 #include "FuzzerRandom.h"
18 #include "FuzzerSHA1.h"
19 #include "FuzzerTracePC.h"
20 #include <numeric>
21 #include <random>
22 #include <unordered_set>
23
24 namespace fuzzer {
25
26 struct InputInfo {
27 Unit U; // The actual input data.
28 uint8_t Sha1[kSHA1NumBytes]; // Checksum.
29 // Number of features that this input has and no smaller input has.
30 size_t NumFeatures = 0;
31 size_t Tmp = 0; // Used by ValidateFeatureSet.
32 // Stats.
33 size_t NumExecutedMutations = 0;
34 size_t NumSuccessfullMutations = 0;
35 bool MayDeleteFile = false;
36 };
37
38 class InputCorpus {
39 public:
40 static const size_t kFeatureSetSize = 1 << 16;
41 InputCorpus(const std::string &OutputCorpus) : OutputCorpus(OutputCorpus) {
42 memset(InputSizesPerFeature, 0, sizeof(InputSizesPerFeature));
43 memset(SmallestElementPerFeature, 0, sizeof(SmallestElementPerFeature));
44 }
45 ~InputCorpus() {
46 for (auto II : Inputs)
47 delete II;
48 }
49 size_t size() const { return Inputs.size(); }
50 size_t SizeInBytes() const {
51 size_t Res = 0;
52 for (auto II : Inputs)
53 Res += II->U.size();
54 return Res;
55 }
56 size_t NumActiveUnits() const {
57 size_t Res = 0;
58 for (auto II : Inputs)
59 Res += !II->U.empty();
60 return Res;
61 }
62 bool empty() const { return Inputs.empty(); }
63 const Unit &operator[] (size_t Idx) const { return Inputs[Idx]->U; }
64 void AddToCorpus(const Unit &U, size_t NumFeatures, bool MayDeleteFile = false) {
65 assert(!U.empty());
66 uint8_t Hash[kSHA1NumBytes];
67 if (FeatureDebug)
68 Printf("ADD_TO_CORPUS %zd NF %zd\n", Inputs.size(), NumFeatures);
69 ComputeSHA1(U.data(), U.size(), Hash);
70 Hashes.insert(Sha1ToString(Hash));
71 Inputs.push_back(new InputInfo());
72 InputInfo &II = *Inputs.back();
73 II.U = U;
74 II.NumFeatures = NumFeatures;
75 II.MayDeleteFile = MayDeleteFile;
76 memcpy(II.Sha1, Hash, kSHA1NumBytes);
77 UpdateCorpusDistribution();
78 ValidateFeatureSet();
79 }
80
81 bool HasUnit(const Unit &U) { return Hashes.count(Hash(U)); }
82 bool HasUnit(const std::string &H) { return Hashes.count(H); }
83 InputInfo &ChooseUnitToMutate(Random &Rand) {
84 InputInfo &II = *Inputs[ChooseUnitIdxToMutate(Rand)];
85 assert(!II.U.empty());
86 return II;
87 };
88
89 // Returns an index of random unit from the corpus to mutate.
90 // Hypothesis: units added to the corpus last are more likely to be
91 // interesting. This function gives more weight to the more recent units.
92 size_t ChooseUnitIdxToMutate(Random &Rand) {
93 size_t Idx = static_cast<size_t>(CorpusDistribution(Rand.Get_mt19937()));
94 assert(Idx < Inputs.size());
95 return Idx;
96 }
97
98 void PrintStats() {
99 for (size_t i = 0; i < Inputs.size(); i++) {
100 const auto &II = *Inputs[i];
101 Printf(" [%zd %s]\tsz: %zd\truns: %zd\tsucc: %zd\n", i,
102 Sha1ToString(II.Sha1).c_str(), II.U.size(),
103 II.NumExecutedMutations, II.NumSuccessfullMutations);
104 }
105 }
106
107 void PrintFeatureSet() {
108 for (size_t i = 0; i < kFeatureSetSize; i++) {
109 if(size_t Sz = GetFeature(i))
110 Printf("[%zd: id %zd sz%zd] ", i, SmallestElementPerFeature[i], Sz);
111 }
112 Printf("\n\t");
113 for (size_t i = 0; i < Inputs.size(); i++)
114 if (size_t N = Inputs[i]->NumFeatures)
115 Printf(" %zd=>%zd ", i, N);
116 Printf("\n");
117 }
118
119 void DeleteInput(size_t Idx) {
120 InputInfo &II = *Inputs[Idx];
121 if (!OutputCorpus.empty() && II.MayDeleteFile)
122 RemoveFile(DirPlusFile(OutputCorpus, Sha1ToString(II.Sha1)));
123 Unit().swap(II.U);
124 if (FeatureDebug)
125 Printf("EVICTED %zd\n", Idx);
126 }
127
128 bool AddFeature(size_t Idx, uint32_t NewSize, bool Shrink) {
129 assert(NewSize);
130 Idx = Idx % kFeatureSetSize;
131 uint32_t OldSize = GetFeature(Idx);
132 if (OldSize == 0 || (Shrink && OldSize > NewSize)) {
133 if (OldSize > 0) {
134 size_t OldIdx = SmallestElementPerFeature[Idx];
135 InputInfo &II = *Inputs[OldIdx];
136 assert(II.NumFeatures > 0);
137 II.NumFeatures--;
138 if (II.NumFeatures == 0)
139 DeleteInput(OldIdx);
140 }
141 if (FeatureDebug)
142 Printf("ADD FEATURE %zd sz %d\n", Idx, NewSize);
143 SmallestElementPerFeature[Idx] = Inputs.size();
144 InputSizesPerFeature[Idx] = NewSize;
145 CountingFeatures = true;
146 return true;
147 }
148 return false;
149 }
150
151 size_t NumFeatures() const {
152 size_t Res = 0;
153 for (size_t i = 0; i < kFeatureSetSize; i++)
154 Res += GetFeature(i) != 0;
155 return Res;
156 }
157
158 void ResetFeatureSet() {
159 assert(Inputs.empty());
160 memset(InputSizesPerFeature, 0, sizeof(InputSizesPerFeature));
161 memset(SmallestElementPerFeature, 0, sizeof(SmallestElementPerFeature));
162 }
163
164 private:
165
166 static const bool FeatureDebug = false;
167
168 size_t GetFeature(size_t Idx) const { return InputSizesPerFeature[Idx]; }
169
170 void ValidateFeatureSet() {
171 if (!CountingFeatures) return;
172 if (FeatureDebug)
173 PrintFeatureSet();
174 for (size_t Idx = 0; Idx < kFeatureSetSize; Idx++)
175 if (GetFeature(Idx))
176 Inputs[SmallestElementPerFeature[Idx]]->Tmp++;
177 for (auto II: Inputs) {
178 if (II->Tmp != II->NumFeatures)
179 Printf("ZZZ %zd %zd\n", II->Tmp, II->NumFeatures);
180 assert(II->Tmp == II->NumFeatures);
181 II->Tmp = 0;
182 }
183 }
184
185 // Updates the probability distribution for the units in the corpus.
186 // Must be called whenever the corpus or unit weights are changed.
187 void UpdateCorpusDistribution() {
188 size_t N = Inputs.size();
189 Intervals.resize(N + 1);
190 Weights.resize(N);
191 std::iota(Intervals.begin(), Intervals.end(), 0);
192 if (CountingFeatures)
193 for (size_t i = 0; i < N; i++)
194 Weights[i] = Inputs[i]->NumFeatures * (i + 1);
195 else
196 std::iota(Weights.begin(), Weights.end(), 1);
197 CorpusDistribution = std::piecewise_constant_distribution<double>(
198 Intervals.begin(), Intervals.end(), Weights.begin());
199 }
200 std::piecewise_constant_distribution<double> CorpusDistribution;
201
202 std::vector<double> Intervals;
203 std::vector<double> Weights;
204
205 std::unordered_set<std::string> Hashes;
206 std::vector<InputInfo*> Inputs;
207
208 bool CountingFeatures = false;
209 uint32_t InputSizesPerFeature[kFeatureSetSize];
210 uint32_t SmallestElementPerFeature[kFeatureSetSize];
211
212 std::string OutputCorpus;
213 };
214
215 } // namespace fuzzer
216
217 #endif // LLVM_FUZZER_CORPUS