v8/test/fuzzer/wasm-compile.cc

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[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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// Copyright 2017 the V8 project authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include <stddef.h>
#include <stdint.h>
#include <stdlib.h>
#include <algorithm>
#include "include/v8.h"
#include "src/execution/isolate.h"
#include "src/objects/objects-inl.h"
#include "src/objects/objects.h"
#include "src/utils/ostreams.h"
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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#include "src/wasm/wasm-interpreter.h"
#include "src/wasm/wasm-module-builder.h"
#include "src/wasm/wasm-module.h"
#include "test/common/wasm/flag-utils.h"
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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#include "test/common/wasm/test-signatures.h"
#include "test/common/wasm/wasm-module-runner.h"
#include "test/fuzzer/fuzzer-support.h"
#include "test/fuzzer/wasm-fuzzer-common.h"
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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namespace v8 {
namespace internal {
namespace wasm {
namespace fuzzer {
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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namespace {
constexpr int kMaxFunctions = 4;
constexpr int kMaxGlobals = 64;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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class DataRange {
Vector<const uint8_t> data_;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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public:
explicit DataRange(Vector<const uint8_t> data) : data_(data) {}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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// Don't accidentally pass DataRange by value. This will reuse bytes and might
// lead to OOM because the end might not be reached.
// Define move constructor and move assignment, disallow copy constructor and
// copy assignment (below).
DataRange(DataRange&& other) V8_NOEXCEPT : DataRange(other.data_) {
other.data_ = {};
}
DataRange& operator=(DataRange&& other) V8_NOEXCEPT {
data_ = other.data_;
other.data_ = {};
return *this;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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}
size_t size() const { return data_.size(); }
DataRange split() {
uint16_t num_bytes = get<uint16_t>() % std::max(size_t{1}, data_.size());
DataRange split(data_.SubVector(0, num_bytes));
data_ += num_bytes;
return split;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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}
template <typename T, size_t max_bytes = sizeof(T)>
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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T get() {
STATIC_ASSERT(max_bytes <= sizeof(T));
// We want to support the case where we have less than sizeof(T) bytes
// remaining in the slice. For example, if we emit an i32 constant, it's
// okay if we don't have a full four bytes available, we'll just use what
// we have. We aren't concerned about endianness because we are generating
// arbitrary expressions.
const size_t num_bytes = std::min(max_bytes, data_.size());
T result = T();
memcpy(&result, data_.begin(), num_bytes);
data_ += num_bytes;
return result;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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}
DISALLOW_COPY_AND_ASSIGN(DataRange);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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};
ValueType GetValueType(DataRange* data) {
switch (data->get<uint8_t>() % 4) {
case 0:
return kWasmI32;
case 1:
return kWasmI64;
case 2:
return kWasmF32;
case 3:
return kWasmF64;
}
UNREACHABLE();
}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
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class WasmGenerator {
template <WasmOpcode Op, ValueType... Args>
void op(DataRange* data) {
Generate<Args...>(data);
builder_->Emit(Op);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
class BlockScope {
public:
BlockScope(WasmGenerator* gen, WasmOpcode block_type, ValueType result_type,
ValueType br_type)
: gen_(gen) {
gen->blocks_.push_back(br_type);
gen->builder_->EmitWithU8(block_type,
ValueTypes::ValueTypeCodeFor(result_type));
}
~BlockScope() {
gen_->builder_->Emit(kExprEnd);
gen_->blocks_.pop_back();
}
private:
WasmGenerator* const gen_;
};
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
template <ValueType T>
void block(DataRange* data) {
BlockScope block_scope(this, kExprBlock, T, T);
Generate<T>(data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
template <ValueType T>
void loop(DataRange* data) {
// When breaking to a loop header, don't provide any input value (hence
// kWasmStmt).
BlockScope block_scope(this, kExprLoop, T, kWasmStmt);
Generate<T>(data);
}
enum IfType { kIf, kIfElse };
template <ValueType T, IfType type>
void if_(DataRange* data) {
static_assert(T == kWasmStmt || type == kIfElse,
"if without else cannot produce a value");
Generate<kWasmI32>(data);
BlockScope block_scope(this, kExprIf, T, T);
Generate<T>(data);
if (type == kIfElse) {
builder_->Emit(kExprElse);
Generate<T>(data);
}
}
void br(DataRange* data) {
// There is always at least the block representing the function body.
DCHECK(!blocks_.empty());
const uint32_t target_block = data->get<uint32_t>() % blocks_.size();
const ValueType break_type = blocks_[target_block];
Generate(break_type, data);
builder_->EmitWithI32V(
kExprBr, static_cast<uint32_t>(blocks_.size()) - 1 - target_block);
}
template <ValueType wanted_type>
void br_if(DataRange* data) {
// There is always at least the block representing the function body.
DCHECK(!blocks_.empty());
const uint32_t target_block = data->get<uint32_t>() % blocks_.size();
const ValueType break_type = blocks_[target_block];
Generate(break_type, data);
Generate(kWasmI32, data);
builder_->EmitWithI32V(
kExprBrIf, static_cast<uint32_t>(blocks_.size()) - 1 - target_block);
ConvertOrGenerate(break_type, wanted_type, data);
}
// TODO(eholk): make this function constexpr once gcc supports it
static uint8_t max_alignment(WasmOpcode memop) {
switch (memop) {
case kExprI64LoadMem:
case kExprF64LoadMem:
case kExprI64StoreMem:
case kExprF64StoreMem:
return 3;
case kExprI32LoadMem:
case kExprI64LoadMem32S:
case kExprI64LoadMem32U:
case kExprF32LoadMem:
case kExprI32StoreMem:
case kExprI64StoreMem32:
case kExprF32StoreMem:
return 2;
case kExprI32LoadMem16S:
case kExprI32LoadMem16U:
case kExprI64LoadMem16S:
case kExprI64LoadMem16U:
case kExprI32StoreMem16:
case kExprI64StoreMem16:
return 1;
case kExprI32LoadMem8S:
case kExprI32LoadMem8U:
case kExprI64LoadMem8S:
case kExprI64LoadMem8U:
case kExprI32StoreMem8:
case kExprI64StoreMem8:
return 0;
default:
return 0;
}
}
template <WasmOpcode memory_op, ValueType... arg_types>
void memop(DataRange* data) {
const uint8_t align = data->get<uint8_t>() % (max_alignment(memory_op) + 1);
const uint32_t offset = data->get<uint32_t>();
// Generate the index and the arguments, if any.
Generate<kWasmI32, arg_types...>(data);
builder_->Emit(memory_op);
builder_->EmitU32V(align);
builder_->EmitU32V(offset);
}
void drop(DataRange* data) {
Generate(GetValueType(data), data);
builder_->Emit(kExprDrop);
}
template <ValueType wanted_type>
void call(DataRange* data) {
call(data, wanted_type);
}
void Convert(ValueType src, ValueType dst) {
auto idx = [](ValueType t) -> int {
switch (t) {
case kWasmI32:
return 0;
case kWasmI64:
return 1;
case kWasmF32:
return 2;
case kWasmF64:
return 3;
default:
UNREACHABLE();
}
};
static constexpr WasmOpcode kConvertOpcodes[] = {
// {i32, i64, f32, f64} -> i32
kExprNop, kExprI32ConvertI64, kExprI32SConvertF32, kExprI32SConvertF64,
// {i32, i64, f32, f64} -> i64
kExprI64SConvertI32, kExprNop, kExprI64SConvertF32, kExprI64SConvertF64,
// {i32, i64, f32, f64} -> f32
kExprF32SConvertI32, kExprF32SConvertI64, kExprNop, kExprF32ConvertF64,
// {i32, i64, f32, f64} -> f64
kExprF64SConvertI32, kExprF64SConvertI64, kExprF64ConvertF32, kExprNop};
int arr_idx = idx(dst) << 2 | idx(src);
builder_->Emit(kConvertOpcodes[arr_idx]);
}
void ConvertOrGenerate(ValueType src, ValueType dst, DataRange* data) {
if (src == dst) return;
if (src == kWasmStmt && dst != kWasmStmt) {
Generate(dst, data);
} else if (dst == kWasmStmt && src != kWasmStmt) {
builder_->Emit(kExprDrop);
} else {
Convert(src, dst);
}
}
void call(DataRange* data, ValueType wanted_type) {
int func_index = data->get<uint8_t>() % functions_.size();
FunctionSig* sig = functions_[func_index];
// Generate arguments.
for (size_t i = 0; i < sig->parameter_count(); ++i) {
Generate(sig->GetParam(i), data);
}
// Emit call.
builder_->EmitWithU32V(kExprCallFunction, func_index);
// Convert the return value to the wanted type.
ValueType return_type =
sig->return_count() == 0 ? kWasmStmt : sig->GetReturn(0);
if (return_type == kWasmStmt && wanted_type != kWasmStmt) {
// The call did not generate a value. Thus just generate it here.
Generate(wanted_type, data);
} else if (return_type != kWasmStmt && wanted_type == kWasmStmt) {
// The call did generate a value, but we did not want one.
builder_->Emit(kExprDrop);
} else if (return_type != wanted_type) {
// If the returned type does not match the wanted type, convert it.
Convert(return_type, wanted_type);
}
}
struct Var {
uint32_t index;
ValueType type = kWasmStmt;
Var() = default;
Var(uint32_t index, ValueType type) : index(index), type(type) {}
bool is_valid() const { return type != kWasmStmt; }
};
Var GetRandomLocal(DataRange* data) {
uint32_t num_params =
static_cast<uint32_t>(builder_->signature()->parameter_count());
uint32_t num_locals = static_cast<uint32_t>(locals_.size());
if (num_params + num_locals == 0) return {};
uint32_t index = data->get<uint8_t>() % (num_params + num_locals);
ValueType type = index < num_params ? builder_->signature()->GetParam(index)
: locals_[index - num_params];
return {index, type};
}
template <ValueType wanted_type>
void local_op(DataRange* data, WasmOpcode opcode) {
Var local = GetRandomLocal(data);
// If there are no locals and no parameters, just generate any value (if a
// value is needed), or do nothing.
if (!local.is_valid()) {
if (wanted_type == kWasmStmt) return;
return Generate<wanted_type>(data);
}
if (opcode != kExprGetLocal) Generate(local.type, data);
builder_->EmitWithU32V(opcode, local.index);
if (wanted_type != kWasmStmt && local.type != wanted_type) {
Convert(local.type, wanted_type);
}
}
template <ValueType wanted_type>
void get_local(DataRange* data) {
static_assert(wanted_type != kWasmStmt, "illegal type");
local_op<wanted_type>(data, kExprGetLocal);
}
void set_local(DataRange* data) { local_op<kWasmStmt>(data, kExprSetLocal); }
template <ValueType wanted_type>
void tee_local(DataRange* data) {
local_op<wanted_type>(data, kExprTeeLocal);
}
template <size_t num_bytes>
void i32_const(DataRange* data) {
builder_->EmitI32Const(data->get<int32_t, num_bytes>());
}
template <size_t num_bytes>
void i64_const(DataRange* data) {
builder_->EmitI64Const(data->get<int64_t, num_bytes>());
}
Var GetRandomGlobal(DataRange* data, bool ensure_mutable) {
uint32_t index;
if (ensure_mutable) {
if (mutable_globals_.empty()) return {};
index = mutable_globals_[data->get<uint8_t>() % mutable_globals_.size()];
} else {
if (globals_.empty()) return {};
index = data->get<uint8_t>() % globals_.size();
}
ValueType type = globals_[index];
return {index, type};
}
template <ValueType wanted_type>
void global_op(DataRange* data) {
constexpr bool is_set = wanted_type == kWasmStmt;
Var global = GetRandomGlobal(data, is_set);
// If there are no globals, just generate any value (if a value is needed),
// or do nothing.
if (!global.is_valid()) {
if (wanted_type == kWasmStmt) return;
return Generate<wanted_type>(data);
}
if (is_set) Generate(global.type, data);
builder_->EmitWithU32V(is_set ? kExprSetGlobal : kExprGetGlobal,
global.index);
if (!is_set && global.type != wanted_type) {
Convert(global.type, wanted_type);
}
}
template <ValueType wanted_type>
void get_global(DataRange* data) {
static_assert(wanted_type != kWasmStmt, "illegal type");
global_op<wanted_type>(data);
}
template <ValueType select_type>
void select_with_type(DataRange* data) {
static_assert(select_type != kWasmStmt, "illegal type for select");
Generate<select_type, select_type, kWasmI32>(data);
// num_types is always 1.
uint8_t num_types = 1;
builder_->EmitWithU8U8(kExprSelectWithType, num_types,
ValueTypes::ValueTypeCodeFor(select_type));
}
void set_global(DataRange* data) { global_op<kWasmStmt>(data); }
template <ValueType... Types>
void sequence(DataRange* data) {
Generate<Types...>(data);
}
void current_memory(DataRange* data) {
builder_->EmitWithU8(kExprMemorySize, 0);
}
void grow_memory(DataRange* data);
using generate_fn = void (WasmGenerator::*const)(DataRange*);
template <size_t N>
void GenerateOneOf(generate_fn (&alternates)[N], DataRange* data) {
static_assert(N < std::numeric_limits<uint8_t>::max(),
"Too many alternates. Replace with a bigger type if needed.");
const auto which = data->get<uint8_t>();
generate_fn alternate = alternates[which % N];
(this->*alternate)(data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
struct GeneratorRecursionScope {
explicit GeneratorRecursionScope(WasmGenerator* gen) : gen(gen) {
++gen->recursion_depth;
DCHECK_LE(gen->recursion_depth, kMaxRecursionDepth);
}
~GeneratorRecursionScope() {
DCHECK_GT(gen->recursion_depth, 0);
--gen->recursion_depth;
}
WasmGenerator* gen;
};
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
public:
WasmGenerator(WasmFunctionBuilder* fn,
const std::vector<FunctionSig*>& functions,
const std::vector<ValueType>& globals,
const std::vector<uint8_t>& mutable_globals, DataRange* data)
: builder_(fn),
functions_(functions),
globals_(globals),
mutable_globals_(mutable_globals) {
FunctionSig* sig = fn->signature();
DCHECK_GE(1, sig->return_count());
blocks_.push_back(sig->return_count() == 0 ? kWasmStmt : sig->GetReturn(0));
constexpr uint32_t kMaxLocals = 32;
locals_.resize(data->get<uint8_t>() % kMaxLocals);
for (ValueType& local : locals_) {
local = GetValueType(data);
fn->AddLocal(local);
}
}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
void Generate(ValueType type, DataRange* data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
template <ValueType T>
void Generate(DataRange* data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
template <ValueType T1, ValueType T2, ValueType... Ts>
void Generate(DataRange* data) {
// TODO(clemensb): Implement a more even split.
auto first_data = data->split();
Generate<T1>(&first_data);
Generate<T2, Ts...>(data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
private:
WasmFunctionBuilder* builder_;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
std::vector<ValueType> blocks_;
const std::vector<FunctionSig*>& functions_;
std::vector<ValueType> locals_;
std::vector<ValueType> globals_;
std::vector<uint8_t> mutable_globals_; // indexes into {globals_}.
uint32_t recursion_depth = 0;
static constexpr uint32_t kMaxRecursionDepth = 64;
bool recursion_limit_reached() {
return recursion_depth >= kMaxRecursionDepth;
}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
};
template <>
void WasmGenerator::Generate<kWasmStmt>(DataRange* data) {
GeneratorRecursionScope rec_scope(this);
if (recursion_limit_reached() || data->size() == 0) return;
constexpr generate_fn alternates[] = {
&WasmGenerator::sequence<kWasmStmt, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmStmt, kWasmStmt, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmStmt, kWasmStmt, kWasmStmt,
kWasmStmt, kWasmStmt, kWasmStmt, kWasmStmt>,
&WasmGenerator::block<kWasmStmt>,
&WasmGenerator::loop<kWasmStmt>,
&WasmGenerator::if_<kWasmStmt, kIf>,
&WasmGenerator::if_<kWasmStmt, kIfElse>,
&WasmGenerator::br,
&WasmGenerator::br_if<kWasmStmt>,
&WasmGenerator::memop<kExprI32StoreMem, kWasmI32>,
&WasmGenerator::memop<kExprI32StoreMem8, kWasmI32>,
&WasmGenerator::memop<kExprI32StoreMem16, kWasmI32>,
&WasmGenerator::memop<kExprI64StoreMem, kWasmI64>,
&WasmGenerator::memop<kExprI64StoreMem8, kWasmI64>,
&WasmGenerator::memop<kExprI64StoreMem16, kWasmI64>,
&WasmGenerator::memop<kExprI64StoreMem32, kWasmI64>,
&WasmGenerator::memop<kExprF32StoreMem, kWasmF32>,
&WasmGenerator::memop<kExprF64StoreMem, kWasmF64>,
&WasmGenerator::drop,
&WasmGenerator::call<kWasmStmt>,
&WasmGenerator::set_local,
&WasmGenerator::set_global};
GenerateOneOf(alternates, data);
}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
template <>
void WasmGenerator::Generate<kWasmI32>(DataRange* data) {
GeneratorRecursionScope rec_scope(this);
if (recursion_limit_reached() || data->size() <= 1) {
builder_->EmitI32Const(data->get<uint32_t>());
return;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
constexpr generate_fn alternates[] = {
&WasmGenerator::i32_const<1>,
&WasmGenerator::i32_const<2>,
&WasmGenerator::i32_const<3>,
&WasmGenerator::i32_const<4>,
&WasmGenerator::sequence<kWasmI32, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmI32>,
&WasmGenerator::sequence<kWasmStmt, kWasmI32, kWasmStmt>,
&WasmGenerator::op<kExprI32Eqz, kWasmI32>,
&WasmGenerator::op<kExprI32Eq, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Ne, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32LtS, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32LtU, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32GeS, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32GeU, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI64Eqz, kWasmI64>,
&WasmGenerator::op<kExprI64Eq, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Ne, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64LtS, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64LtU, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64GeS, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64GeU, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprF32Eq, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF32Ne, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF32Lt, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF32Ge, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF64Eq, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprF64Ne, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprF64Lt, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprF64Ge, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprI32Add, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Sub, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Mul, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32DivS, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32DivU, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32RemS, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32RemU, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32And, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Ior, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Xor, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Shl, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32ShrU, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32ShrS, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Ror, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Rol, kWasmI32, kWasmI32>,
&WasmGenerator::op<kExprI32Clz, kWasmI32>,
&WasmGenerator::op<kExprI32Ctz, kWasmI32>,
&WasmGenerator::op<kExprI32Popcnt, kWasmI32>,
&WasmGenerator::op<kExprI32ConvertI64, kWasmI64>,
&WasmGenerator::op<kExprI32SConvertF32, kWasmF32>,
&WasmGenerator::op<kExprI32UConvertF32, kWasmF32>,
&WasmGenerator::op<kExprI32SConvertF64, kWasmF64>,
&WasmGenerator::op<kExprI32UConvertF64, kWasmF64>,
&WasmGenerator::op<kExprI32ReinterpretF32, kWasmF32>,
&WasmGenerator::block<kWasmI32>,
&WasmGenerator::loop<kWasmI32>,
&WasmGenerator::if_<kWasmI32, kIfElse>,
&WasmGenerator::br_if<kWasmI32>,
&WasmGenerator::memop<kExprI32LoadMem>,
&WasmGenerator::memop<kExprI32LoadMem8S>,
&WasmGenerator::memop<kExprI32LoadMem8U>,
&WasmGenerator::memop<kExprI32LoadMem16S>,
&WasmGenerator::memop<kExprI32LoadMem16U>,
&WasmGenerator::current_memory,
&WasmGenerator::grow_memory,
&WasmGenerator::get_local<kWasmI32>,
&WasmGenerator::tee_local<kWasmI32>,
&WasmGenerator::get_global<kWasmI32>,
&WasmGenerator::op<kExprSelect, kWasmI32, kWasmI32, kWasmI32>,
&WasmGenerator::select_with_type<kWasmI32>,
&WasmGenerator::call<kWasmI32>};
GenerateOneOf(alternates, data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
template <>
void WasmGenerator::Generate<kWasmI64>(DataRange* data) {
GeneratorRecursionScope rec_scope(this);
if (recursion_limit_reached() || data->size() <= 1) {
builder_->EmitI64Const(data->get<int64_t>());
return;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
constexpr generate_fn alternates[] = {
&WasmGenerator::i64_const<1>,
&WasmGenerator::i64_const<2>,
&WasmGenerator::i64_const<3>,
&WasmGenerator::i64_const<4>,
&WasmGenerator::i64_const<5>,
&WasmGenerator::i64_const<6>,
&WasmGenerator::i64_const<7>,
&WasmGenerator::i64_const<8>,
&WasmGenerator::sequence<kWasmI64, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmI64>,
&WasmGenerator::sequence<kWasmStmt, kWasmI64, kWasmStmt>,
&WasmGenerator::op<kExprI64Add, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Sub, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Mul, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64DivS, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64DivU, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64RemS, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64RemU, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64And, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Ior, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Xor, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Shl, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64ShrU, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64ShrS, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Ror, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Rol, kWasmI64, kWasmI64>,
&WasmGenerator::op<kExprI64Clz, kWasmI64>,
&WasmGenerator::op<kExprI64Ctz, kWasmI64>,
&WasmGenerator::op<kExprI64Popcnt, kWasmI64>,
&WasmGenerator::block<kWasmI64>,
&WasmGenerator::loop<kWasmI64>,
&WasmGenerator::if_<kWasmI64, kIfElse>,
&WasmGenerator::br_if<kWasmI64>,
&WasmGenerator::memop<kExprI64LoadMem>,
&WasmGenerator::memop<kExprI64LoadMem8S>,
&WasmGenerator::memop<kExprI64LoadMem8U>,
&WasmGenerator::memop<kExprI64LoadMem16S>,
&WasmGenerator::memop<kExprI64LoadMem16U>,
&WasmGenerator::memop<kExprI64LoadMem32S>,
&WasmGenerator::memop<kExprI64LoadMem32U>,
&WasmGenerator::get_local<kWasmI64>,
&WasmGenerator::tee_local<kWasmI64>,
&WasmGenerator::get_global<kWasmI64>,
&WasmGenerator::op<kExprSelect, kWasmI64, kWasmI64, kWasmI32>,
&WasmGenerator::select_with_type<kWasmI64>,
&WasmGenerator::call<kWasmI64>};
GenerateOneOf(alternates, data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
template <>
void WasmGenerator::Generate<kWasmF32>(DataRange* data) {
GeneratorRecursionScope rec_scope(this);
if (recursion_limit_reached() || data->size() <= sizeof(float)) {
builder_->EmitF32Const(data->get<float>());
return;
}
constexpr generate_fn alternates[] = {
&WasmGenerator::sequence<kWasmF32, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmF32>,
&WasmGenerator::sequence<kWasmStmt, kWasmF32, kWasmStmt>,
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
&WasmGenerator::op<kExprF32Add, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF32Sub, kWasmF32, kWasmF32>,
&WasmGenerator::op<kExprF32Mul, kWasmF32, kWasmF32>,
&WasmGenerator::block<kWasmF32>,
&WasmGenerator::loop<kWasmF32>,
&WasmGenerator::if_<kWasmF32, kIfElse>,
&WasmGenerator::br_if<kWasmF32>,
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
&WasmGenerator::memop<kExprF32LoadMem>,
&WasmGenerator::get_local<kWasmF32>,
&WasmGenerator::tee_local<kWasmF32>,
&WasmGenerator::get_global<kWasmF32>,
&WasmGenerator::op<kExprSelect, kWasmF32, kWasmF32, kWasmI32>,
&WasmGenerator::select_with_type<kWasmF32>,
&WasmGenerator::call<kWasmF32>};
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
GenerateOneOf(alternates, data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
template <>
void WasmGenerator::Generate<kWasmF64>(DataRange* data) {
GeneratorRecursionScope rec_scope(this);
if (recursion_limit_reached() || data->size() <= sizeof(double)) {
builder_->EmitF64Const(data->get<double>());
return;
}
constexpr generate_fn alternates[] = {
&WasmGenerator::sequence<kWasmF64, kWasmStmt>,
&WasmGenerator::sequence<kWasmStmt, kWasmF64>,
&WasmGenerator::sequence<kWasmStmt, kWasmF64, kWasmStmt>,
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
&WasmGenerator::op<kExprF64Add, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprF64Sub, kWasmF64, kWasmF64>,
&WasmGenerator::op<kExprF64Mul, kWasmF64, kWasmF64>,
&WasmGenerator::block<kWasmF64>,
&WasmGenerator::loop<kWasmF64>,
&WasmGenerator::if_<kWasmF64, kIfElse>,
&WasmGenerator::br_if<kWasmF64>,
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
&WasmGenerator::memop<kExprF64LoadMem>,
&WasmGenerator::get_local<kWasmF64>,
&WasmGenerator::tee_local<kWasmF64>,
&WasmGenerator::get_global<kWasmF64>,
&WasmGenerator::op<kExprSelect, kWasmF64, kWasmF64, kWasmI32>,
&WasmGenerator::select_with_type<kWasmF64>,
&WasmGenerator::call<kWasmF64>};
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
GenerateOneOf(alternates, data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
void WasmGenerator::grow_memory(DataRange* data) {
Generate<kWasmI32>(data);
builder_->EmitWithU8(kExprMemoryGrow, 0);
}
void WasmGenerator::Generate(ValueType type, DataRange* data) {
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
switch (type) {
case kWasmStmt:
return Generate<kWasmStmt>(data);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
case kWasmI32:
return Generate<kWasmI32>(data);
case kWasmI64:
return Generate<kWasmI64>(data);
case kWasmF32:
return Generate<kWasmF32>(data);
case kWasmF64:
return Generate<kWasmF64>(data);
default:
UNREACHABLE();
}
}
FunctionSig* GenerateSig(Zone* zone, DataRange* data) {
// Generate enough parameters to spill some to the stack.
constexpr int kMaxParameters = 15;
int num_params = int{data->get<uint8_t>()} % (kMaxParameters + 1);
bool has_return = data->get<bool>();
FunctionSig::Builder builder(zone, has_return ? 1 : 0, num_params);
if (has_return) builder.AddReturn(GetValueType(data));
for (int i = 0; i < num_params; ++i) builder.AddParam(GetValueType(data));
return builder.Build();
}
} // namespace
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
class WasmCompileFuzzer : public WasmExecutionFuzzer {
bool GenerateModule(
Isolate* isolate, Zone* zone, Vector<const uint8_t> data,
ZoneBuffer* buffer, int32_t* num_args,
std::unique_ptr<WasmValue[]>* interpreter_args,
std::unique_ptr<Handle<Object>[]>* compiler_args) override {
TestSignatures sigs;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
WasmModuleBuilder builder(zone);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
DataRange range(data);
std::vector<FunctionSig*> function_signatures;
function_signatures.push_back(sigs.i_iii());
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
static_assert(kMaxFunctions >= 1, "need min. 1 function");
int num_functions = 1 + (range.get<uint8_t>() % kMaxFunctions);
for (int i = 1; i < num_functions; ++i) {
function_signatures.push_back(GenerateSig(zone, &range));
}
int num_globals = range.get<uint8_t>() % (kMaxGlobals + 1);
std::vector<ValueType> globals;
std::vector<uint8_t> mutable_globals;
globals.reserve(num_globals);
mutable_globals.reserve(num_globals);
for (int i = 0; i < num_globals; ++i) {
ValueType type = GetValueType(&range);
// 1/8 of globals are immutable.
const bool mutability = (range.get<uint8_t>() % 8) != 0;
builder.AddGlobal(type, mutability, WasmInitExpr());
globals.push_back(type);
if (mutability) mutable_globals.push_back(static_cast<uint8_t>(i));
}
for (int i = 0; i < num_functions; ++i) {
DataRange function_range =
i == num_functions - 1 ? std::move(range) : range.split();
FunctionSig* sig = function_signatures[i];
WasmFunctionBuilder* f = builder.AddFunction(sig);
WasmGenerator gen(f, function_signatures, globals, mutable_globals,
&function_range);
ValueType return_type =
sig->return_count() == 0 ? kWasmStmt : sig->GetReturn(0);
gen.Generate(return_type, &function_range);
f->Emit(kExprEnd);
if (i == 0) builder.AddExport(CStrVector("main"), f);
}
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
builder.SetMaxMemorySize(32);
builder.WriteTo(buffer);
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
*num_args = 3;
interpreter_args->reset(
new WasmValue[3]{WasmValue(1), WasmValue(2), WasmValue(3)});
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
compiler_args->reset(new Handle<Object>[3] {
handle(Smi::FromInt(1), isolate), handle(Smi::FromInt(2), isolate),
handle(Smi::FromInt(3), isolate)
});
return true;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
};
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
extern "C" int LLVMFuzzerTestOneInput(const uint8_t* data, size_t size) {
constexpr bool require_valid = true;
EXPERIMENTAL_FLAG_SCOPE(anyref);
WasmCompileFuzzer().FuzzWasmModule({data, size}, require_valid);
return 0;
[wasm] Syntax- and Type-aware Fuzzer This is the beginning of a new fuzzer that generates correct-by-construction Wasm modules. This should allow us to better exercise the compiler and correctness aspects of fuzzing. It is based off of ahaas' original Wasm fuzzer. At the moment, it can generate expressions made up of most binops, and also nested blocks with unconditional breaks. Future CLs will add additional constructs, such as br_if, loops, memory access, etc. The way the fuzzer works is that it starts with an array of arbitrary data provided by libfuzzer. It uses the data to generate an expression. Care is taken to make use of the entire string. Basically, the generator has a bunch of grammar-like rules for how to construct an expression of a given type. For example, an i32 can be made by adding two other i32s, or by wrapping an i64. The process then continues recursively until all the data is consumed. We generate an expression from a slice of data as follows: * If the slice is less than or equal to the size of the type (e.g. 4 bytes for i32), then it will emit the entire slice as a constant. * Otherwise, it will consume the first 4 bytes of the slice and use this to select which rule to apply. Each rule then consumes the remainder of the slice in an appropriate way. For example: * Unary ops use the remainder of the slice to generate the argument. * Binary ops consume another four bytes and mod this with the length of the remaining slice to split the slice into two parts. Each of these subslices are then used to generate one of the arguments to the binop. * Blocks are basically like a unary op, but a stack of block types is maintained to facilitate branches. For blocks that end in a break, the first four bytes of a slice are used to select the break depth and the stack determines what type of expression to generate. The goal is that once this generator is complete, it will provide a one to one mapping between binary strings and valid Wasm modules. Review-Url: https://codereview.chromium.org/2658723006 Cr-Commit-Position: refs/heads/master@{#43289}
2017-02-17 17:06:29 +00:00
}
} // namespace fuzzer
} // namespace wasm
} // namespace internal
} // namespace v8