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618 lines
18 KiB
C++
618 lines
18 KiB
C++
// -*- C++ -*-
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//===------------------------- fuzzing.cpp -------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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// A set of routines to use when fuzzing the algorithms in libc++
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// Each one tests a single algorithm.
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//
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// They all have the form of:
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// int `algorithm`(const uint8_t *data, size_t size);
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//
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// They perform the operation, and then check to see if the results are correct.
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// If so, they return zero, and non-zero otherwise.
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//
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// For example, sort calls std::sort, then checks two things:
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// (1) The resulting vector is sorted
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// (2) The resulting vector contains the same elements as the original data.
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#include "fuzzing.h"
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#include <vector>
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#include <algorithm>
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#include <functional>
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#include <regex>
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#include <cassert>
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#include <iostream>
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// If we had C++14, we could use the four iterator version of is_permutation and equal
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namespace fuzzing {
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// This is a struct we can use to test the stable_XXX algorithms.
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// perform the operation on the key, then check the order of the payload.
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struct stable_test {
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uint8_t key;
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size_t payload;
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stable_test(uint8_t k) : key(k), payload(0) {}
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stable_test(uint8_t k, size_t p) : key(k), payload(p) {}
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};
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void swap(stable_test &lhs, stable_test &rhs)
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{
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using std::swap;
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swap(lhs.key, rhs.key);
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swap(lhs.payload, rhs.payload);
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}
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struct key_less
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{
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bool operator () (const stable_test &lhs, const stable_test &rhs) const
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{
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return lhs.key < rhs.key;
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}
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};
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struct payload_less
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{
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bool operator () (const stable_test &lhs, const stable_test &rhs) const
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{
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return lhs.payload < rhs.payload;
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}
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};
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struct total_less
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{
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bool operator () (const stable_test &lhs, const stable_test &rhs) const
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{
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return lhs.key == rhs.key ? lhs.payload < rhs.payload : lhs.key < rhs.key;
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}
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};
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bool operator==(const stable_test &lhs, const stable_test &rhs)
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{
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return lhs.key == rhs.key && lhs.payload == rhs.payload;
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}
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template<typename T>
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struct is_even
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{
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bool operator () (const T &t) const
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{
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return t % 2 == 0;
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}
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};
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template<>
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struct is_even<stable_test>
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{
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bool operator () (const stable_test &t) const
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{
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return t.key % 2 == 0;
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}
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};
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typedef std::vector<uint8_t> Vec;
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typedef std::vector<stable_test> StableVec;
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typedef StableVec::const_iterator SVIter;
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// Cheap version of is_permutation
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// Builds a set of buckets for each of the key values.
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// Sums all the payloads.
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// Not 100% perfect, but _way_ faster
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bool is_permutation(SVIter first1, SVIter last1, SVIter first2)
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{
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size_t xBuckets[256] = {0};
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size_t xPayloads[256] = {0};
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size_t yBuckets[256] = {0};
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size_t yPayloads[256] = {0};
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for (; first1 != last1; ++first1, ++first2)
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{
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xBuckets [first1->key]++;
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xPayloads[first1->key] += first1->payload;
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yBuckets [first2->key]++;
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yPayloads[first2->key] += first2->payload;
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}
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for (size_t i = 0; i < 256; ++i)
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{
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if (xBuckets[i] != yBuckets[i])
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return false;
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if (xPayloads[i] != yPayloads[i])
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return false;
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}
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return true;
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}
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template <typename Iter1, typename Iter2>
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bool is_permutation(Iter1 first1, Iter1 last1, Iter2 first2)
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{
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static_assert((std::is_same<typename std::iterator_traits<Iter1>::value_type, uint8_t>::value), "");
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static_assert((std::is_same<typename std::iterator_traits<Iter2>::value_type, uint8_t>::value), "");
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size_t xBuckets[256] = {0};
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size_t yBuckets[256] = {0};
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for (; first1 != last1; ++first1, ++first2)
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{
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xBuckets [*first1]++;
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yBuckets [*first2]++;
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}
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for (size_t i = 0; i < 256; ++i)
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if (xBuckets[i] != yBuckets[i])
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return false;
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return true;
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}
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// == sort ==
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int sort(const uint8_t *data, size_t size)
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{
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Vec working(data, data + size);
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std::sort(working.begin(), working.end());
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if (!std::is_sorted(working.begin(), working.end())) return 1;
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if (!fuzzing::is_permutation(data, data + size, working.cbegin())) return 99;
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return 0;
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}
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// == stable_sort ==
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int stable_sort(const uint8_t *data, size_t size)
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{
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StableVec input;
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for (size_t i = 0; i < size; ++i)
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input.push_back(stable_test(data[i], i));
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StableVec working = input;
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std::stable_sort(working.begin(), working.end(), key_less());
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if (!std::is_sorted(working.begin(), working.end(), key_less())) return 1;
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auto iter = working.begin();
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while (iter != working.end())
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{
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auto range = std::equal_range(iter, working.end(), *iter, key_less());
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if (!std::is_sorted(range.first, range.second, total_less())) return 2;
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iter = range.second;
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}
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if (!fuzzing::is_permutation(input.cbegin(), input.cend(), working.cbegin())) return 99;
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return 0;
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}
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// == partition ==
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int partition(const uint8_t *data, size_t size)
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{
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Vec working(data, data + size);
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auto iter = std::partition(working.begin(), working.end(), is_even<uint8_t>());
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if (!std::all_of (working.begin(), iter, is_even<uint8_t>())) return 1;
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if (!std::none_of(iter, working.end(), is_even<uint8_t>())) return 2;
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if (!fuzzing::is_permutation(data, data + size, working.cbegin())) return 99;
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return 0;
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}
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// == partition_copy ==
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int partition_copy(const uint8_t *data, size_t size)
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{
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Vec v1, v2;
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auto iter = std::partition_copy(data, data + size,
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std::back_inserter<Vec>(v1), std::back_inserter<Vec>(v2),
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is_even<uint8_t>());
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// The two vectors should add up to the original size
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if (v1.size() + v2.size() != size) return 1;
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// All of the even values should be in the first vector, and none in the second
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if (!std::all_of (v1.begin(), v1.end(), is_even<uint8_t>())) return 2;
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if (!std::none_of(v2.begin(), v2.end(), is_even<uint8_t>())) return 3;
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// Every value in both vectors has to be in the original
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// Make a copy of the input, and sort it
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Vec v0{data, data + size};
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std::sort(v0.begin(), v0.end());
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// Sort each vector and ensure that all of the elements appear in the original input
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std::sort(v1.begin(), v1.end());
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if (!std::includes(v0.begin(), v0.end(), v1.begin(), v1.end())) return 4;
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std::sort(v2.begin(), v2.end());
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if (!std::includes(v0.begin(), v0.end(), v2.begin(), v2.end())) return 5;
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// This, while simple, is really slow - 20 seconds on a 500K element input.
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// for (auto v: v1)
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// if (std::find(data, data + size, v) == data + size) return 4;
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//
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// for (auto v: v2)
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// if (std::find(data, data + size, v) == data + size) return 5;
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return 0;
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}
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// == stable_partition ==
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int stable_partition (const uint8_t *data, size_t size)
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{
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StableVec input;
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for (size_t i = 0; i < size; ++i)
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input.push_back(stable_test(data[i], i));
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StableVec working = input;
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auto iter = std::stable_partition(working.begin(), working.end(), is_even<stable_test>());
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if (!std::all_of (working.begin(), iter, is_even<stable_test>())) return 1;
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if (!std::none_of(iter, working.end(), is_even<stable_test>())) return 2;
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if (!std::is_sorted(working.begin(), iter, payload_less())) return 3;
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if (!std::is_sorted(iter, working.end(), payload_less())) return 4;
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if (!fuzzing::is_permutation(input.cbegin(), input.cend(), working.cbegin())) return 99;
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return 0;
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}
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// == nth_element ==
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// use the first element as a position into the data
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int nth_element (const uint8_t *data, size_t size)
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{
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if (size <= 1) return 0;
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const size_t partition_point = data[0] % size;
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Vec working(data + 1, data + size);
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const auto partition_iter = working.begin() + partition_point;
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std::nth_element(working.begin(), partition_iter, working.end());
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// nth may be the end iterator, in this case nth_element has no effect.
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if (partition_iter == working.end())
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{
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if (!std::equal(data + 1, data + size, working.begin())) return 98;
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}
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else
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{
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const uint8_t nth = *partition_iter;
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if (!std::all_of(working.begin(), partition_iter, [=](uint8_t v) { return v <= nth; }))
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return 1;
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if (!std::all_of(partition_iter, working.end(), [=](uint8_t v) { return v >= nth; }))
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return 2;
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if (!fuzzing::is_permutation(data + 1, data + size, working.cbegin())) return 99;
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}
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return 0;
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}
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// == partial_sort ==
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// use the first element as a position into the data
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int partial_sort (const uint8_t *data, size_t size)
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{
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if (size <= 1) return 0;
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const size_t sort_point = data[0] % size;
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Vec working(data + 1, data + size);
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const auto sort_iter = working.begin() + sort_point;
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std::partial_sort(working.begin(), sort_iter, working.end());
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if (sort_iter != working.end())
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{
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const uint8_t nth = *std::min_element(sort_iter, working.end());
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if (!std::all_of(working.begin(), sort_iter, [=](uint8_t v) { return v <= nth; }))
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return 1;
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if (!std::all_of(sort_iter, working.end(), [=](uint8_t v) { return v >= nth; }))
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return 2;
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}
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if (!std::is_sorted(working.begin(), sort_iter)) return 3;
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if (!fuzzing::is_permutation(data + 1, data + size, working.cbegin())) return 99;
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return 0;
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}
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// == partial_sort_copy ==
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// use the first element as a count
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int partial_sort_copy (const uint8_t *data, size_t size)
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{
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if (size <= 1) return 0;
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const size_t num_results = data[0] % size;
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Vec results(num_results);
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(void) std::partial_sort_copy(data + 1, data + size, results.begin(), results.end());
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// The results have to be sorted
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if (!std::is_sorted(results.begin(), results.end())) return 1;
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// All the values in results have to be in the original data
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for (auto v: results)
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if (std::find(data + 1, data + size, v) == data + size) return 2;
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// The things in results have to be the smallest N in the original data
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Vec sorted(data + 1, data + size);
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std::sort(sorted.begin(), sorted.end());
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if (!std::equal(results.begin(), results.end(), sorted.begin())) return 3;
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return 0;
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}
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// The second sequence has been "uniqued"
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template <typename Iter1, typename Iter2>
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static bool compare_unique(Iter1 first1, Iter1 last1, Iter2 first2, Iter2 last2)
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{
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assert(first1 != last1 && first2 != last2);
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if (*first1 != *first2) return false;
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uint8_t last_value = *first1;
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++first1; ++first2;
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while(first1 != last1 && first2 != last2)
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{
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// Skip over dups in the first sequence
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while (*first1 == last_value)
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if (++first1 == last1) return false;
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if (*first1 != *first2) return false;
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last_value = *first1;
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++first1; ++first2;
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}
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// Still stuff left in the 'uniqued' sequence - oops
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if (first1 == last1 && first2 != last2) return false;
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// Still stuff left in the original sequence - better be all the same
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while (first1 != last1)
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{
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if (*first1 != last_value) return false;
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++first1;
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}
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return true;
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}
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// == unique ==
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int unique (const uint8_t *data, size_t size)
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{
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Vec working(data, data + size);
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std::sort(working.begin(), working.end());
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Vec results = working;
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Vec::iterator new_end = std::unique(results.begin(), results.end());
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Vec::iterator it; // scratch iterator
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// Check the size of the unique'd sequence.
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// it should only be zero if the input sequence was empty.
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if (results.begin() == new_end)
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return working.size() == 0 ? 0 : 1;
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// 'results' is sorted
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if (!std::is_sorted(results.begin(), new_end)) return 2;
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// All the elements in 'results' must be different
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it = results.begin();
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uint8_t prev_value = *it++;
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for (; it != new_end; ++it)
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{
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if (*it == prev_value) return 3;
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prev_value = *it;
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}
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// Every element in 'results' must be in 'working'
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for (it = results.begin(); it != new_end; ++it)
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if (std::find(working.begin(), working.end(), *it) == working.end())
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return 4;
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// Every element in 'working' must be in 'results'
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for (auto v : working)
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if (std::find(results.begin(), new_end, v) == new_end)
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return 5;
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return 0;
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}
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// == unique_copy ==
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int unique_copy (const uint8_t *data, size_t size)
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{
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Vec working(data, data + size);
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std::sort(working.begin(), working.end());
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Vec results;
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(void) std::unique_copy(working.begin(), working.end(),
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std::back_inserter<Vec>(results));
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Vec::iterator it; // scratch iterator
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// Check the size of the unique'd sequence.
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// it should only be zero if the input sequence was empty.
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if (results.size() == 0)
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return working.size() == 0 ? 0 : 1;
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// 'results' is sorted
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if (!std::is_sorted(results.begin(), results.end())) return 2;
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// All the elements in 'results' must be different
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it = results.begin();
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uint8_t prev_value = *it++;
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for (; it != results.end(); ++it)
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{
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if (*it == prev_value) return 3;
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prev_value = *it;
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}
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// Every element in 'results' must be in 'working'
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for (auto v : results)
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if (std::find(working.begin(), working.end(), v) == working.end())
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return 4;
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// Every element in 'working' must be in 'results'
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for (auto v : working)
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if (std::find(results.begin(), results.end(), v) == results.end())
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return 5;
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return 0;
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}
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// -- regex fuzzers
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static int regex_helper(const uint8_t *data, size_t size, std::regex::flag_type flag)
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{
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if (size > 0)
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{
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try
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{
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std::string s((const char *)data, size);
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std::regex re(s, flag);
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return std::regex_match(s, re) ? 1 : 0;
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}
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catch (std::regex_error &ex) {}
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}
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return 0;
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}
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int regex_ECMAScript (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::ECMAScript);
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return 0;
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}
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int regex_POSIX (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::basic);
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return 0;
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}
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int regex_extended (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::extended);
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return 0;
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}
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int regex_awk (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::awk);
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return 0;
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}
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int regex_grep (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::grep);
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return 0;
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}
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int regex_egrep (const uint8_t *data, size_t size)
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{
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(void) regex_helper(data, size, std::regex_constants::egrep);
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return 0;
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}
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// -- heap fuzzers
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int make_heap (const uint8_t *data, size_t size)
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{
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Vec working(data, data + size);
|
|
std::make_heap(working.begin(), working.end());
|
|
|
|
if (!std::is_heap(working.begin(), working.end())) return 1;
|
|
if (!fuzzing::is_permutation(data, data + size, working.cbegin())) return 99;
|
|
return 0;
|
|
}
|
|
|
|
int push_heap (const uint8_t *data, size_t size)
|
|
{
|
|
if (size < 2) return 0;
|
|
|
|
// Make a heap from the first half of the data
|
|
Vec working(data, data + size);
|
|
auto iter = working.begin() + (size / 2);
|
|
std::make_heap(working.begin(), iter);
|
|
if (!std::is_heap(working.begin(), iter)) return 1;
|
|
|
|
// Now push the rest onto the heap, one at a time
|
|
++iter;
|
|
for (; iter != working.end(); ++iter) {
|
|
std::push_heap(working.begin(), iter);
|
|
if (!std::is_heap(working.begin(), iter)) return 2;
|
|
}
|
|
|
|
if (!fuzzing::is_permutation(data, data + size, working.cbegin())) return 99;
|
|
return 0;
|
|
}
|
|
|
|
int pop_heap (const uint8_t *data, size_t size)
|
|
{
|
|
if (size < 2) return 0;
|
|
Vec working(data, data + size);
|
|
std::make_heap(working.begin(), working.end());
|
|
|
|
// Pop things off, one at a time
|
|
auto iter = --working.end();
|
|
while (iter != working.begin()) {
|
|
std::pop_heap(working.begin(), iter);
|
|
if (!std::is_heap(working.begin(), --iter)) return 2;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
|
|
// -- search fuzzers
|
|
int search (const uint8_t *data, size_t size)
|
|
{
|
|
if (size < 2) return 0;
|
|
|
|
const size_t pat_size = data[0] * (size - 1) / std::numeric_limits<uint8_t>::max();
|
|
assert(pat_size <= size - 1);
|
|
const uint8_t *pat_begin = data + 1;
|
|
const uint8_t *pat_end = pat_begin + pat_size;
|
|
const uint8_t *data_end = data + size;
|
|
assert(pat_end <= data_end);
|
|
// std::cerr << "data[0] = " << size_t(data[0]) << " ";
|
|
// std::cerr << "Pattern size = " << pat_size << "; corpus is " << size - 1 << std::endl;
|
|
auto it = std::search(pat_end, data_end, pat_begin, pat_end);
|
|
if (it != data_end) // not found
|
|
if (!std::equal(pat_begin, pat_end, it))
|
|
return 1;
|
|
return 0;
|
|
}
|
|
|
|
template <typename S>
|
|
static int search_helper (const uint8_t *data, size_t size)
|
|
{
|
|
if (size < 2) return 0;
|
|
|
|
const size_t pat_size = data[0] * (size - 1) / std::numeric_limits<uint8_t>::max();
|
|
const uint8_t *pat_begin = data + 1;
|
|
const uint8_t *pat_end = pat_begin + pat_size;
|
|
const uint8_t *data_end = data + size;
|
|
|
|
auto it = std::search(pat_end, data_end, S(pat_begin, pat_end));
|
|
if (it != data_end) // not found
|
|
if (!std::equal(pat_begin, pat_end, it))
|
|
return 1;
|
|
return 0;
|
|
}
|
|
|
|
// These are still in std::experimental
|
|
// int search_boyer_moore (const uint8_t *data, size_t size)
|
|
// {
|
|
// return search_helper<std::boyer_moore_searcher<const uint8_t *>>(data, size);
|
|
// }
|
|
//
|
|
// int search_boyer_moore_horspool (const uint8_t *data, size_t size)
|
|
// {
|
|
// return search_helper<std::boyer_moore_horspool_searcher<const uint8_t *>>(data, size);
|
|
// }
|
|
|
|
|
|
// -- set operation fuzzers
|
|
template <typename S>
|
|
static void set_helper (const uint8_t *data, size_t size, Vec &v1, Vec &v2)
|
|
{
|
|
assert(size > 1);
|
|
|
|
const size_t pat_size = data[0] * (size - 1) / std::numeric_limits<uint8_t>::max();
|
|
const uint8_t *pat_begin = data + 1;
|
|
const uint8_t *pat_end = pat_begin + pat_size;
|
|
const uint8_t *data_end = data + size;
|
|
v1.assign(pat_begin, pat_end);
|
|
v2.assign(pat_end, data_end);
|
|
|
|
std::sort(v1.begin(), v1.end());
|
|
std::sort(v2.begin(), v2.end());
|
|
}
|
|
|
|
} // namespace fuzzing
|