v8/test/fuzzer/testcfg.py

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# Copyright 2016 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.
import os
from testrunner.local import testsuite
from testrunner.objects import testcase
class FuzzerVariantGenerator(testsuite.VariantGenerator):
# Only run the fuzzer with standard variant.
def FilterVariantsByTest(self, testcase):
return self.standard_variant
def GetFlagSets(self, testcase, variant):
return testsuite.FAST_VARIANT_FLAGS[variant]
class FuzzerTestSuite(testsuite.TestSuite):
SUB_TESTS = ( 'json', 'parser', 'regexp', 'wasm', 'wasm_asmjs', 'wasm_async',
'wasm_call', 'wasm_code', 'wasm_compile', 'wasm_data_section',
[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_function_sigs_section', 'wasm_globals_section',
'wasm_imports_section', 'wasm_memory_section', 'wasm_names_section',
'wasm_types_section' )
def __init__(self, name, root):
super(FuzzerTestSuite, self).__init__(name, root)
def ListTests(self, context):
tests = []
for subtest in FuzzerTestSuite.SUB_TESTS:
shell = 'v8_simple_%s_fuzzer' % subtest
for fname in os.listdir(os.path.join(self.root, subtest)):
if not os.path.isfile(os.path.join(self.root, subtest, fname)):
continue
test = testcase.TestCase(self, '%s/%s' % (subtest, fname),
override_shell=shell)
tests.append(test)
tests.sort()
return tests
def GetFlagsForTestCase(self, testcase, context):
suite, name = testcase.path.split('/')
return [os.path.join(self.root, suite, name)]
def _VariantGeneratorFactory(self):
return FuzzerVariantGenerator
def GetSuite(name, root):
return FuzzerTestSuite(name, root)