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Import of the watch repository from Pebble
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155
third_party/nanopb/tests/fuzztest/SConscript
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155
third_party/nanopb/tests/fuzztest/SConscript
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# Run a fuzz test to verify robustness against corrupted/malicious data.
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import sys
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import time
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import zipfile
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import random
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import subprocess
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Import("env", "malloc_env")
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def set_pkgname(src, dst, pkgname):
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data = open(str(src)).read()
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placeholder = '// package name placeholder'
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assert placeholder in data
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data = data.replace(placeholder, 'package %s;' % pkgname)
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open(str(dst), 'w').write(data)
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# We want both pointer and static versions of the AllTypes message
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# Prefix them with package name.
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env.Command("alltypes_static.proto", "#alltypes/alltypes.proto",
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lambda target, source, env: set_pkgname(source[0], target[0], 'alltypes_static'))
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env.Command("alltypes_pointer.proto", "#alltypes/alltypes.proto",
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lambda target, source, env: set_pkgname(source[0], target[0], 'alltypes_pointer'))
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env.NanopbProto(["alltypes_pointer", "alltypes_pointer.options"])
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env.NanopbProto(["alltypes_static", "alltypes_static.options"])
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# Do the same for proto3 versions
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env.Command("alltypes_proto3_static.proto", "#alltypes_proto3/alltypes.proto",
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lambda target, source, env: set_pkgname(source[0], target[0], 'alltypes_proto3_static'))
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env.Command("alltypes_proto3_pointer.proto", "#alltypes_proto3/alltypes.proto",
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lambda target, source, env: set_pkgname(source[0], target[0], 'alltypes_proto3_pointer'))
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env.NanopbProto(["alltypes_proto3_pointer", "alltypes_proto3_pointer.options"])
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env.NanopbProto(["alltypes_proto3_static", "alltypes_proto3_static.options"])
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# And also a callback version
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env.Command("alltypes_callback.proto", "#alltypes/alltypes.proto",
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lambda target, source, env: set_pkgname(source[0], target[0], 'alltypes_callback'))
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env.NanopbProto(["alltypes_callback", "alltypes_callback.options"])
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common_objs = [env.Object("random_data.c"),
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env.Object("validation.c"),
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env.Object("flakystream.c"),
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env.Object("alltypes_pointer.pb.c"),
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env.Object("alltypes_static.pb.c"),
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env.Object("alltypes_callback.pb.c"),
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env.Object("alltypes_proto3_pointer.pb.c"),
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env.Object("alltypes_proto3_static.pb.c"),
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"$COMMON/malloc_wrappers.o"]
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objs_malloc = ["$COMMON/pb_encode_with_malloc.o",
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"$COMMON/pb_decode_with_malloc.o",
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"$COMMON/pb_common_with_malloc.o"] + common_objs
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objs_static = ["$COMMON/pb_encode.o",
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"$COMMON/pb_decode.o",
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"$COMMON/pb_common.o"] + common_objs
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fuzz = malloc_env.Program(["fuzztest.c"] + objs_malloc)
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# Run the stand-alone fuzz tester
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seed = int(time.time())
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if env.get('EMBEDDED'):
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iterations = 100
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else:
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iterations = 1000
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env.RunTest(fuzz, ARGS = [str(seed), str(iterations)])
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generate_message = malloc_env.Program(["generate_message.c"] + objs_static)
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# Test the message generator
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env.RunTest(generate_message, ARGS = [str(seed)])
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env.RunTest("generate_message.output.fuzzed", [fuzz, "generate_message.output"])
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# Run against the latest corpus from ossfuzz
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# This allows quick testing against regressions and also lets us more
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# completely test slow embedded targets. To reduce runtime, only a subset
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# of the corpus is fuzzed each time.
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def run_against_corpus(target, source, env):
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corpus = zipfile.ZipFile(str(source[1]), 'r')
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count = 0
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args = [str(source[0])]
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if "TEST_RUNNER" in env:
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args = [env["TEST_RUNNER"]] + args
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if "FUZZTEST_CORPUS_SAMPLESIZE" in env:
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samplesize = int(env["FUZZTEST_CORPUS_SAMPLESIZE"])
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elif env.get('EMBEDDED'):
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samplesize = 100
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else:
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samplesize = 4096
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files = [n for n in corpus.namelist() if not n.endswith('/')]
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files = random.sample(files, min(samplesize, len(files)))
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for filename in files:
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sys.stdout.write("Fuzzing: %5d/%5d: %-40.40s\r" % (count, len(files), filename))
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sys.stdout.flush()
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count += 1
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maxsize = env.get('CPPDEFINES', {}).get('FUZZTEST_BUFSIZE', 256*1024)
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data_in = corpus.read(filename)[:maxsize]
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try:
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process = subprocess.Popen(args, stdin=subprocess.PIPE,
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stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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stdout, stderr = process.communicate(input = data_in)
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result = process.wait()
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except OSError as e:
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if e.errno == 22:
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print("Warning: OSError 22 when running with input " + filename)
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result = process.wait()
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else:
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raise
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if result != 0:
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stdout += stderr
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print(stdout)
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print('\033[31m[FAIL]\033[0m Program ' + str(args) + ' returned ' + str(result) + ' with input ' + filename + ' from ' + str(source[1]))
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return result
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open(str(target[0]), 'w').write(str(count))
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print('\033[32m[ OK ]\033[0m Ran ' + str(args) + " against " + str(source[1]) + " (" + str(count) + " entries)")
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env.Command("corpus.zip.fuzzed", [fuzz, "corpus.zip"], run_against_corpus)
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env.Command("regressions.zip.fuzzed", [fuzz, "regressions.zip"], run_against_corpus)
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# Build separate fuzzers for each test case.
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# Having them separate speeds up control flow based fuzzer engines.
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# These are mainly used by oss-fuzz project.
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env_proto2_static = env.Clone()
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env_proto2_static.Append(CPPDEFINES = {'FUZZTEST_PROTO2_STATIC': '1'})
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env_proto2_static.Program("fuzztest_proto2_static",
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[env_proto2_static.Object("fuzztest_proto2_static.o", "fuzztest.c")] + objs_static)
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env_proto2_pointer = malloc_env.Clone()
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env_proto2_pointer.Append(CPPDEFINES = {'FUZZTEST_PROTO2_POINTER': '1'})
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env_proto2_pointer.Program("fuzztest_proto2_pointer",
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[env_proto2_pointer.Object("fuzztest_proto2_pointer.o", "fuzztest.c")] + objs_malloc)
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env_proto3_static = env.Clone()
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env_proto3_static.Append(CPPDEFINES = {'FUZZTEST_PROTO3_STATIC': '1'})
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env_proto3_static.Program("fuzztest_proto3_static",
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[env_proto3_static.Object("fuzztest_proto3_static.o", "fuzztest.c")] + objs_static)
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env_proto3_pointer = malloc_env.Clone()
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env_proto3_pointer.Append(CPPDEFINES = {'FUZZTEST_PROTO3_POINTER': '1'})
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env_proto3_pointer.Program("fuzztest_proto3_pointer",
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[env_proto3_pointer.Object("fuzztest_proto3_pointer.o", "fuzztest.c")] + objs_malloc)
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env_io_errors = malloc_env.Clone()
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env_io_errors.Append(CPPDEFINES = {'FUZZTEST_IO_ERRORS': '1'})
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env_io_errors.Program("fuzztest_io_errors",
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[env_io_errors.Object("fuzztest_io_errors.o", "fuzztest.c")] + objs_malloc)
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